├── README.md ├── TweetEval_Tutorial.ipynb ├── datasets ├── README.txt ├── emoji │ ├── mapping.txt │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt ├── emotion │ ├── mapping.txt │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt ├── hate │ ├── mapping.txt │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt ├── irony │ ├── mapping.txt │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt ├── offensive │ ├── mapping.txt │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt ├── sentiment │ ├── mapping.txt │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt └── stance │ ├── abortion │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt │ ├── atheism │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt │ ├── climate │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt │ ├── feminist │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt │ ├── hillary │ ├── test_labels.txt │ ├── test_text.txt │ ├── train_labels.txt │ ├── train_text.txt │ ├── val_labels.txt │ └── val_text.txt │ └── mapping.txt ├── evaluation_script.py └── predictions ├── .DS_Store ├── emoji.txt ├── emotion.txt ├── hate.txt ├── irony.txt ├── offensive.txt ├── sentiment.txt └── stance ├── .DS_Store ├── abortion.txt ├── atheism.txt ├── climate.txt ├── feminist.txt └── hillary.txt /README.md: -------------------------------------------------------------------------------- 1 | # TweetEval 2 | This is the repository for the [_TweetEval_ benchmark (Findings of EMNLP 2020)](https://arxiv.org/pdf/2010.12421.pdf). _TweetEval_ consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits. 3 | 4 | # TweetEval: The Benchmark 5 | 6 | These are the seven datasets of TweetEval, with its corresponding labels (more details about the format in the [datasets](https://github.com/cardiffnlp/tweeteval/tree/main/datasets) directory): 7 | 8 | - **Emotion Recognition**: [SemEval 2018 - Emotion Recognition](https://www.aclweb.org/anthology/S18-1001/) (Mohammad et al., 2018) - 4 labels: `anger`, `joy`,`sadness`, `optimism` 9 | 10 | - **Emoji Prediction**, [SemEval 2018 - Emoji Prediction](https://www.aclweb.org/anthology/S18-1003.pdf) (Barbieri et al., 2018) - 20 labels: :heart:, :heart_eyes:, :joy: `...` :evergreen_tree:, :camera:, :stuck_out_tongue_winking_eye: 11 | 12 | - **Irony Detection**, [SemEval 2018 - Irony Detection](https://www.aclweb.org/anthology/S18-1005.pdf) (Van Hee et al., 2018) - 2 labels: `irony`, `not irony` 13 | 14 | - **Hate Speech Detection**, [SemEval 2019 - Hateval](https://www.aclweb.org/anthology/S19-2007.pdf) (Basile et al., 2019) - 2 labels: `hateful`, `not hateful` 15 | 16 | - **Offensive Language Identification**, [SemEval 2019 - OffensEval](https://www.aclweb.org/anthology/S19-2010/) (Zampieri et al., 2019)- 2 labels: `offensive`, `not offensive` 17 | 18 | - **Sentiment Analysis***, [SemEval 2017 - Sentiment Analysis in Twitter](https://www.aclweb.org/anthology/S17-2088/) (Rosenthal et al., 2019) - 3 labels: `positive`, `neutral`, `negative` 19 | 20 | - **Stance Detection***, [SemEval 2016 - Detecting Stance in Tweets](https://www.aclweb.org/anthology/S16-1003/) (Mohammad et al., 2016) - 3 labels: `favour`, `neutral`, `against` 21 | 22 | **Note 1***: For stance there are five different target topics (Abortion, Atheism, Climate change, Feminism and Hillary Clinton), each of which contains its own training, validation and test data. 23 | 24 | **Note 2***: The sentiment dataset has been updated as of 17 December 2020. The update has been minimal and it was intended to fix a small number of sentences that were cropped. 25 | 26 | # TweetEval: Leaderboard (Test set) 27 | 28 | | Model | Emoji | Emotion | Hate | Irony | Offensive | Sentiment | Stance | ALL(TE) | Reference | 29 | |----------|------:|--------:|-----:|------:|----------:|----------:|-------:|----:|---------| 30 | | BERTweet | 33.4 | 79.3 | **56.4** | **82.1** | 79.5 | 73.4 | 71.2 | **67.9** | [BERTweet](https://arxiv.org/abs/2005.10200) | 31 | | TimeLMs-2021 | **34.0** | **80.2** | 55.1 | 64.5 | **82.2** | **73.7** | **72.9** | 66.2 | [TimeLMs](https://arxiv.org/abs/2202.03829) | 32 | | RoBERTa-Retrained | 31.4 | 78.5 | 52.3 | 61.7 | 80.5 | 72.8 | 69.3 | 65.2 | [TweetEval](https://arxiv.org/pdf/2010.12421.pdf) | 33 | | RoBERTa-Base | 30.9 | 76.1 | 46.6 | 59.7 | 79.5 | 71.3 | 68 | 61.3 | [TweetEval](https://arxiv.org/pdf/2010.12421.pdf) | 34 | | RoBERTa-Twitter | 29.3 | 72.0 | 49.9 | 65.4 | 77.1 | 69.1 | 66.7 | 61.4 | [TweetEval](https://arxiv.org/pdf/2010.12421.pdf) | 35 | | FastText | 25.8 | 65.2 | 50.6 | 63.1 | 73.4 | 62.9 | 65.4 | 58.1 | [TweetEval](https://arxiv.org/pdf/2010.12421.pdf) | 36 | | LSTM | 24.7 | 66.0 | 52.6 | 62.8 | 71.7 | 58.3 | 59.4 | 56.5 | [TweetEval](https://arxiv.org/pdf/2010.12421.pdf) | 37 | | SVM | 29.3 | 64.7 | 36.7 | 61.7 | 52.3 | 62.9 | 67.3 | 53.5 | [TweetEval](https://arxiv.org/pdf/2010.12421.pdf) | 38 | 39 | **Note***: Check the [reference paper](https://arxiv.org/pdf/2010.12421.pdf) for details on the official metrics for each task 40 | 41 | If you would like to have your results added to the leaderboard you can either submit a pull request or send an email to any of the paper authors with results and the predictions of your model. Please also submit a reference to a paper describing your approach. 42 | 43 | # Evaluating your system 44 | 45 | For evaluating your system, you simply need an individual predictions file for each of the tasks. The format of the predictions file should be the same as the output examples in the predictions folder (one output label per line as per the original test file). The predictions included as an example in this repo correspond to the best model evaluated in the paper, i.e., RoBERTa re-trained on Twitter (RoB-Rt in the paper). 46 | 47 | ### Example usage 48 | 49 | ```bash 50 | python evaluation_script.py 51 | ``` 52 | The script takes the TweetEval gold test labels and the predictions from the "predictions" folder by default, but you can set this to suit your needs as optional arguments. 53 | 54 | ### Optional arguments 55 | 56 | Three optional arguments can be modified: 57 | 58 | *--tweeteval_path*: Path to TweetEval datasets. Default: *"./datasets/"* 59 | 60 | *--predictions_path*: Path to predictions directory. Default: *"./predictions/"* 61 | 62 | *--task*: Use this to get single task detailed results *(emoji|emotion|hate|irony|offensive|sentiment|stance)*. Default: "" 63 | 64 | Evaluation script sample usage from the terminal with parameters: 65 | 66 | ```bash 67 | python evaluation_script.py --tweeteval_path ./datasets/ --predictions_path ./predictions/ --task emoji 68 | ``` 69 | (this script would output the breakdown of the results for the emoji prediction task only) 70 | 71 | # Pre-trained models and code 72 | 73 | You can download the best Twitter masked language model (RoBERTa-retrained in the paper) from 🤗HuggingFace [here](https://huggingface.co/cardiffnlp/twitter-roberta-base). We also provide task-specific models: 74 | 75 | - [Twitter-RoBERTa-emoji](https://huggingface.co/cardiffnlp/twitter-roberta-base-emoji) 76 | - [Twitter-RoBERTa-emotion](https://huggingface.co/cardiffnlp/twitter-roberta-base-emotion) 77 | - [Twitter-RoBERTa-hate](https://huggingface.co/cardiffnlp/twitter-roberta-base-hate) 78 | - [Twitter-RoBERTa-irony](https://huggingface.co/cardiffnlp/twitter-roberta-base-irony) 79 | - [Twitter-RoBERTa-offensive](https://huggingface.co/cardiffnlp/twitter-roberta-base-offensive) 80 | - [Twitter-RoBERTa-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) 81 | - Twitter-RoBERTa-stance - Coming soon 82 | 83 | To know how to use the pre-trained models, you can check our [Google Colab Notebook](https://colab.research.google.com/drive/18cNn4cJ-bAi-Luiqi8V6c09Tj-iiX0oG), with sample code for masked language modeling, extracting embeddings from tweets and tweet classification. 84 | 85 | **NEW!** A multilingual language model trained on Twitter for 30+ languages (XLM-T) is now available [here](https://github.com/cardiffnlp/xlm-t) 86 | 87 | **NEWx2!** You can now test TweetEval models as part of the [TweetNLP platform](https://tweetnlp.org). 88 | 89 | 90 | # Citing TweetEval 91 | 92 | If you use TweetEval in your research, please use the following `bib` entry to cite the [reference paper](https://arxiv.org/pdf/2010.12421.pdf). 93 | 94 | ``` 95 | @inproceedings{barbieri2020tweeteval, 96 | title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}}, 97 | author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo}, 98 | booktitle={Proceedings of Findings of EMNLP}, 99 | year={2020} 100 | } 101 | ``` 102 | # License 103 | 104 | TweetEval is released without any restrictions but restrictions may apply to individual tasks (which are derived from existing datasets) or Twitter (main data source). We refer users to the original licenses accompanying each dataset and Twitter regulations. 105 | 106 | 107 | # Citing TweetEval datasets 108 | 109 | If you use any of the TweetEval datasets, please cite their original publications: 110 | 111 | #### Emotion Recognition: 112 | ``` 113 | @inproceedings{mohammad2018semeval, 114 | title={Semeval-2018 task 1: Affect in tweets}, 115 | author={Mohammad, Saif and Bravo-Marquez, Felipe and Salameh, Mohammad and Kiritchenko, Svetlana}, 116 | booktitle={Proceedings of the 12th international workshop on semantic evaluation}, 117 | pages={1--17}, 118 | year={2018} 119 | } 120 | 121 | ``` 122 | #### Emoji Prediction: 123 | ``` 124 | @inproceedings{barbieri2018semeval, 125 | title={Semeval 2018 task 2: Multilingual emoji prediction}, 126 | author={Barbieri, Francesco and Camacho-Collados, Jose and Ronzano, Francesco and Espinosa-Anke, Luis and 127 | Ballesteros, Miguel and Basile, Valerio and Patti, Viviana and Saggion, Horacio}, 128 | booktitle={Proceedings of The 12th International Workshop on Semantic Evaluation}, 129 | pages={24--33}, 130 | year={2018} 131 | } 132 | ``` 133 | 134 | #### Irony Detection: 135 | ``` 136 | @inproceedings{van2018semeval, 137 | title={Semeval-2018 task 3: Irony detection in english tweets}, 138 | author={Van Hee, Cynthia and Lefever, Els and Hoste, V{\'e}ronique}, 139 | booktitle={Proceedings of The 12th International Workshop on Semantic Evaluation}, 140 | pages={39--50}, 141 | year={2018} 142 | } 143 | ``` 144 | 145 | #### Hate Speech Detection: 146 | ``` 147 | @inproceedings{basile-etal-2019-semeval, 148 | title = "{S}em{E}val-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in {T}witter", 149 | author = "Basile, Valerio and Bosco, Cristina and Fersini, Elisabetta and Nozza, Debora and Patti, Viviana and 150 | Rangel Pardo, Francisco Manuel and Rosso, Paolo and Sanguinetti, Manuela", 151 | booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation", 152 | year = "2019", 153 | address = "Minneapolis, Minnesota, USA", 154 | publisher = "Association for Computational Linguistics", 155 | url = "https://www.aclweb.org/anthology/S19-2007", 156 | doi = "10.18653/v1/S19-2007", 157 | pages = "54--63" 158 | } 159 | ``` 160 | #### Offensive Language Identification: 161 | ``` 162 | @inproceedings{zampieri2019semeval, 163 | title={SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)}, 164 | author={Zampieri, Marcos and Malmasi, Shervin and Nakov, Preslav and Rosenthal, Sara and Farra, Noura and Kumar, Ritesh}, 165 | booktitle={Proceedings of the 13th International Workshop on Semantic Evaluation}, 166 | pages={75--86}, 167 | year={2019} 168 | } 169 | ``` 170 | 171 | #### Sentiment Analysis: 172 | ``` 173 | @inproceedings{rosenthal2017semeval, 174 | title={SemEval-2017 task 4: Sentiment analysis in Twitter}, 175 | author={Rosenthal, Sara and Farra, Noura and Nakov, Preslav}, 176 | booktitle={Proceedings of the 11th international workshop on semantic evaluation (SemEval-2017)}, 177 | pages={502--518}, 178 | year={2017} 179 | } 180 | ``` 181 | 182 | #### Stance Detection: 183 | ``` 184 | @inproceedings{mohammad2016semeval, 185 | title={Semeval-2016 task 6: Detecting stance in tweets}, 186 | author={Mohammad, Saif and Kiritchenko, Svetlana and Sobhani, Parinaz and Zhu, Xiaodan and Cherry, Colin}, 187 | booktitle={Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)}, 188 | pages={31--41}, 189 | year={2016} 190 | } 191 | ``` 192 | -------------------------------------------------------------------------------- /datasets/README.txt: -------------------------------------------------------------------------------- 1 | === TWEETEVAL === 2 | 3 | This README describes the format, file and directory structure associated with TweetEval, the benchmark associated with the Findings of EMNLP 2020 paper "TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification". 4 | 5 | === DIRECTORY STRUCTURE === 6 | 7 | {dataset} = - train_text.txt 8 | - train_labels.txt 9 | - val_text.txt 10 | - val_labels.txt 11 | - test_text.txt 12 | 13 | - emoji 14 | - {dataset} 15 | - mapping.txt 16 | - emotion 17 | - {dataset} 18 | - mapping.txt 19 | - hate 20 | - {dataset} 21 | - mapping.txt 22 | - irony 23 | - {dataset} 24 | - mapping.txt 25 | - offensive 26 | - {dataset} 27 | - mapping.txt 28 | - sentiment 29 | - {dataset} 30 | - mapping.txt 31 | - stance 32 | - abortion 33 | - {dataset} 34 | - atheism 35 | - {dataset} 36 | - climate 37 | - {dataset} 38 | - feminist 39 | - {dataset} 40 | - hilary 41 | - {dataset} 42 | mapping.txt 43 | 44 | === FILE FORMAT === 45 | 46 | Each {train/val/test}_text.txt file has one tweet per line in the original format, i.e., no preprocessing has been applied. Each {train/val/test}_labels.txt file has one label per line which maps to its corresponding tweet. The mapping.txt files contain tab-separated lines of the form 'label_id label_name', for example, for stance detection '0 1', '1 against' and '2 favor'. 47 | 48 | === REFERENCES === 49 | 50 | Please check the main README for details about the main reference paper and the articles associated with each of the datasets 51 | -------------------------------------------------------------------------------- /datasets/emoji/mapping.txt: -------------------------------------------------------------------------------- 1 | 0 ❤ _red_heart_ 2 | 1 😍 _smiling_face_with_hearteyes_ 3 | 2 😂 _face_with_tears_of_joy_ 4 | 3 💕 _two_hearts_ 5 | 4 🔥 _fire_ 6 | 5 😊 _smiling_face_with_smiling_eyes_ 7 | 6 😎 _smiling_face_with_sunglasses_ 8 | 7 ✨ _sparkles_ 9 | 8 💙 _blue_heart_ 10 | 9 😘 _face_blowing_a_kiss_ 11 | 10 📷 _camera_ 12 | 11 🇺🇸 _United_States_ 13 | 12 ☀ _sun_ 14 | 13 💜 _purple_heart_ 15 | 14 😉 _winking_face_ 16 | 15 💯 _hundred_points_ 17 | 16 😁 _beaming_face_with_smiling_eyes_ 18 | 17 🎄 _Christmas_tree_ 19 | 18 📸 _camera_with_flash_ 20 | 19 😜 _winking_face_with_tongue_ 21 | -------------------------------------------------------------------------------- /datasets/emotion/mapping.txt: -------------------------------------------------------------------------------- 1 | 0 anger 2 | 1 joy 3 | 2 optimism 4 | 3 sadness -------------------------------------------------------------------------------- /datasets/emotion/test_labels.txt: -------------------------------------------------------------------------------- 1 | 3 2 | 0 3 | 3 4 | 1 5 | 1 6 | 0 7 | 3 8 | 3 9 | 3 10 | 0 11 | 0 12 | 3 13 | 3 14 | 0 15 | 0 16 | 3 17 | 1 18 | 0 19 | 0 20 | 0 21 | 0 22 | 3 23 | 3 24 | 2 25 | 2 26 | 1 27 | 1 28 | 0 29 | 3 30 | 1 31 | 3 32 | 1 33 | 0 34 | 0 35 | 0 36 | 0 37 | 2 38 | 2 39 | 0 40 | 3 41 | 2 42 | 0 43 | 0 44 | 1 45 | 0 46 | 0 47 | 0 48 | 0 49 | 1 50 | 0 51 | 3 52 | 3 53 | 2 54 | 3 55 | 1 56 | 0 57 | 3 58 | 3 59 | 2 60 | 0 61 | 0 62 | 1 63 | 0 64 | 0 65 | 0 66 | 0 67 | 1 68 | 0 69 | 0 70 | 0 71 | 0 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| 1 576 | 0 577 | 2 578 | 0 579 | 1 580 | 3 581 | 0 582 | 1 583 | 0 584 | 1 585 | 1 586 | 1 587 | 3 588 | 0 589 | 0 590 | 1 591 | 0 592 | 0 593 | 0 594 | 1 595 | 3 596 | 0 597 | 0 598 | 1 599 | 1 600 | 1 601 | 2 602 | 2 603 | 1 604 | 0 605 | 0 606 | 2 607 | 3 608 | 1 609 | 0 610 | 3 611 | 3 612 | 0 613 | 1 614 | 3 615 | 1 616 | 2 617 | 1 618 | 1 619 | 0 620 | 1 621 | 2 622 | 0 623 | 0 624 | 3 625 | 0 626 | 0 627 | 0 628 | 3 629 | 0 630 | 0 631 | 1 632 | 1 633 | 0 634 | 3 635 | 1 636 | 0 637 | 0 638 | 0 639 | 3 640 | 1 641 | 1 642 | 3 643 | 0 644 | 0 645 | 0 646 | 3 647 | 1 648 | 0 649 | 1 650 | 0 651 | 0 652 | 3 653 | 3 654 | 1 655 | 3 656 | 0 657 | 1 658 | 3 659 | 3 660 | 1 661 | 1 662 | 3 663 | 0 664 | 0 665 | 3 666 | 2 667 | 3 668 | 1 669 | 3 670 | 0 671 | 0 672 | 0 673 | 1 674 | 0 675 | 1 676 | 2 677 | 1 678 | 0 679 | 1 680 | 0 681 | 1 682 | 1 683 | 0 684 | 3 685 | 0 686 | 0 687 | 0 688 | 3 689 | 0 690 | 3 691 | 0 692 | 1 693 | 0 694 | 0 695 | 0 696 | 1 697 | 0 698 | 1 699 | 3 700 | 1 701 | 3 702 | 1 703 | 0 704 | 1 705 | 0 706 | 2 707 | 3 708 | 0 709 | 0 710 | 3 711 | 2 712 | 2 713 | 3 714 | 1 715 | 0 716 | 3 717 | 3 718 | 3 719 | 0 720 | 3 721 | 3 722 | 0 723 | 3 724 | 1 725 | 1 726 | 3 727 | 0 728 | 1 729 | 3 730 | 3 731 | 3 732 | 1 733 | 1 734 | 0 735 | 2 736 | 1 737 | 0 738 | 3 739 | 0 740 | 3 741 | 3 742 | 1 743 | 0 744 | 2 745 | 1 746 | 0 747 | 0 748 | 0 749 | 1 750 | 0 751 | 2 752 | 0 753 | 0 754 | 0 755 | 3 756 | 0 757 | 1 758 | 0 759 | 1 760 | 0 761 | 0 762 | 1 763 | 3 764 | 1 765 | 1 766 | 1 767 | 1 768 | 1 769 | 3 770 | 0 771 | 0 772 | 0 773 | 2 774 | 0 775 | 1 776 | 3 777 | 1 778 | 3 779 | 1 780 | 0 781 | 0 782 | 2 783 | 1 784 | 1 785 | 0 786 | 0 787 | 3 788 | 3 789 | 3 790 | 3 791 | 1 792 | 1 793 | 1 794 | 2 795 | 2 796 | 0 797 | 3 798 | 0 799 | 3 800 | 0 801 | 1 802 | 0 803 | 0 804 | 0 805 | 1 806 | 1 807 | 1 808 | 2 809 | 0 810 | 1 811 | 2 812 | 0 813 | 0 814 | 0 815 | 0 816 | 0 817 | 1 818 | 1 819 | 1 820 | 3 821 | 0 822 | 3 823 | 0 824 | 1 825 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1300 | 1 1301 | 0 1302 | 0 1303 | 1 1304 | 0 1305 | 1 1306 | 0 1307 | 0 1308 | 0 1309 | 0 1310 | 0 1311 | 1 1312 | 1 1313 | 0 1314 | 0 1315 | 0 1316 | 0 1317 | 1 1318 | 0 1319 | 1 1320 | 0 1321 | 0 1322 | 0 1323 | 1 1324 | 0 1325 | -------------------------------------------------------------------------------- /datasets/sentiment/mapping.txt: -------------------------------------------------------------------------------- 1 | 0 negative 2 | 1 neutral 3 | 2 positive 4 | -------------------------------------------------------------------------------- /datasets/sentiment/val_labels.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 2 3 | 0 4 | 1 5 | 1 6 | 1 7 | 2 8 | 0 9 | 2 10 | 1 11 | 0 12 | 2 13 | 1 14 | 1 15 | 0 16 | 2 17 | 2 18 | 1 19 | 2 20 | 0 21 | 2 22 | 0 23 | 1 24 | 1 25 | 0 26 | 2 27 | 2 28 | 1 29 | 2 30 | 2 31 | 2 32 | 1 33 | 2 34 | 2 35 | 1 36 | 1 37 | 2 38 | 2 39 | 1 40 | 1 41 | 1 42 | 1 43 | 2 44 | 2 45 | 2 46 | 0 47 | 1 48 | 1 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-------------------------------------------------------------------------------- 1 | 0 2 | 1 3 | 1 4 | 0 5 | 1 6 | 2 7 | 1 8 | 0 9 | 1 10 | 2 11 | 1 12 | 2 13 | 1 14 | 0 15 | 2 16 | 0 17 | 2 18 | 2 19 | 1 20 | 0 21 | 2 22 | 1 23 | 1 24 | 1 25 | 1 26 | 1 27 | 1 28 | 1 29 | 0 30 | 1 31 | 1 32 | 0 33 | 0 34 | 0 35 | 1 36 | 0 37 | 2 38 | 2 39 | 1 40 | 1 41 | 0 42 | 0 43 | 1 44 | 1 45 | 1 46 | 1 47 | 0 48 | 1 49 | 1 50 | 1 51 | 1 52 | 2 53 | 1 54 | 1 55 | 0 56 | 1 57 | 0 58 | 0 59 | 1 60 | 1 61 | 1 62 | 1 63 | 2 64 | 1 65 | 2 66 | 0 67 | -------------------------------------------------------------------------------- /datasets/stance/abortion/val_text.txt: -------------------------------------------------------------------------------- 1 | Today, AB 775 passed out of Committee on Judiciary 3-7. We will let you know how to help! #SemST 2 | There's a gray area when it comes to abortion. We discuss the #legal & #ethical #dilemmas that #doctors & #patients face regarding #SemST 3 | If you aren't responsible enough to take care of a baby, why are you having unprotected sex? #SemST 4 | Follow #Patriot --> @user Thanks for following back!! #Truth #Liberty #Justice #ProIsrael #WakeUpAmerica #FreeAmirNow #SemST 5 | One day I'm gonna set an abortion clinic on fire. Anyone wanna join? #SemST 6 | Adding to the progress of this week the Supreme Court is also allowing Texas abortion clinics to stay open! #SCOTUS #SemST 7 | @user Turning it into a racial thing kek #SemST 8 | @user one step forward in the right direction #SemST 9 | UB Students for Life and @user are currently on North Campus by the Student Union speaking out against #SemST 10 | If my body is the only way you can live and I don't want that I have the right to dismiss you. I don't know why that's a problem #SemST 11 | @user 1/3 of my generation is missing. And it can't be changed. But we can change the future. #ProLifeYouth #SemST 12 | @user Dehumanizing? Why are you dehumanizing the pregnant person? They're more than walking incubators, and have rights! #SemST 13 | A #person's value is not determined by his #size. #prolifegen #prolifeyouth #SemST 14 | There Will Never Be Enough Of Us should be the slogan at #SemST 15 | When is abortion a responsible choice? When a woman chooses it to be #SemST 16 | Any asshat "protesting" against #SofiaVergara is a disgrace to the entire Women's Rights movement. Live and let live. #SemST 17 | I just want to sit in a corner and cry. I wish I was a thicker-skinned feminist but this shit is personal! #MyBodyMyRights #SemST 18 | @user Yes, your reasoning is horrible. We were talking about abortion, not death. #SemST 19 | Mzwakhe mbuli says doctors & nurses are paid assassins.. they kill unborn babies & give it a fancy name #SemST 20 | How ironic is it that im sitting in @user & swiping on @user right now? #SemST 21 | Whether someone wants to have children or not should be completely up to the person carrying that pregnancy... 22 | @user @user @user Ginsburg already supports the death penalty..she calls it #SemST 23 | A person's a person, no matter how small. - Dr. Suess #WAAR #SemST 24 | In the aim for equality we have forgotten the most innocent, the smallest, the most precious among us. The unborn. #catholic #SemST 25 | I was born 4 months premature... I'm perfectly fine, somehow killing babies is legal in this country. 26 | @user Unjustified homicide should ALWAYS be illegal, including #ProlifeYouth #SemST 27 | You have a #God given right to #live. And of all places, inside your #mother. -Phil Robertsonyouthgen #SemST 28 | Thank you for another day of life Lord. #Christian #Catholic #TeamJesus #SemST 29 | Any asshat "protesting" against @user is a disgrace to the entire Women's rights movement. Live and let live. #SemST 30 | Thanks @user Kudos to @user for caring about the safety of unborn children #auspol #SemST 31 | @user And the unborn ARE human lives completely human & alive from conception. Abortion KILLS #SemST 32 | Roberts, Scalia, Alito, Thomas. Hereinafter, " R-SCAT ". #SCOTUS #Equality #SemST 33 | Good Friday morning #patriots. Make it ur best one ever. #Smile all day long. #LNYHBT #RescuePets #SOT #SOV #NeverGiveUp #SemST 34 | @user @user Once they're born, that is. #SemST 35 | Can we get a law for the little ones who can't even speak for themselves? #ProLifeYouth #EVERYLIFEMATTERS #gay #straight #baby #SemST 36 | They say God isn't listening? Just look at that radar today. #prayfornepal 37 | As good a time as any to say: when too many men are adjudicating on women's reproductive systems, the results are never good #Rape #SemST 38 | There's an undeniable inverse correlation between women's right to choose and crime rates #womensrights #SemST 39 | @user @user My wife had an abortion when she was young She regrets it to this day #SemST 40 | If you're all about equality, then the unborn babies get an equal chance at life too....#EqualityForTheUnborn #SemST 41 | Everyone who disagrees has always had the right to mind their own damn business!!!! #LoveWins #SemST 42 | @user I know. God won't be mocked tho. So I blv we shd expect judgment~as if thr wr not already enuf rzn 2 judge America. #SemST 43 | I get the whole "Kill your darlings" advice, but I feel like an abortionist with all these unfinished stories. #Writing #Literary #SemST 44 | If being a mother's womb isn't safe I guess neither are churches; specifically black ones #WhoIsBurningBlackChurches #SemST 45 | Plenty of stem cells without baby smashing, by the way. #SemST 46 | Why don't black lives matter in the womb? #SemST 47 | Hey, #BristolPalin, when Alaska asked you to promote "wide open spaces," pretty sure they were talking about the state. #SemST 48 | The same people that demand gov stay out of their vaginas, demand that gov legitimize their same sex bedrooms! Curious. #LoveWins #SemST 49 | Love Wins? No it didn't. Love won't truly win until there is an end to abortion. Unborn babies deserve love too. #SemST 50 | If 'tis not human beings in the womb, how do we harvest and transplant their organs onto human beings? #SemST 51 | #PeoplesDebate Better every child born out of marriage + every mothers get #loneparents allowance than there be a single #VinB #SemST 52 | @user yes he has an opinion but the choice should be in the hands of the women You know the person directly affected? #SemST 53 | Before I formed you in the #womb I knew you. #prolifegen #prolifeyouth #God #SemST 54 | @user ...about the millions of aborted children? Lets fix this too #LoveWins #SemST 55 | @user What could have happened in her past to make her the cruel & frighteningly hard-hearted woman she is? #waronwomen #SemST 56 | @user the premeditated taking of an innocent human life is 1st degree murder, and you know it. #SemST 57 | Every time you respond to something that frustrates you, you let it steal away your time and happiness. #EasyWeightLoss #SemST 58 | Obamcare loses again in the Supreme Court. Religious freedom win. #scotus #tcot #SemST 59 | It hurts my 2 C ppl more offended over a flag/symbol than deaths/abortions of millions of innocent children! #flag #Mississippi #SemST 60 | The HHS contraceptive mandate has been challenged in #SCOUTS 6 times and has lost 6 times. #contraception #SemST 61 | Still waiting for Libs to explain how the premeditated murder of a premature baby is reproductive healthcare. #ccot #SemST 62 | It's time to be a #voice for the #voiceless. Stand up for the #unborn! #AllLivesMatter #ProLifeYouth #chooselife #SemST 63 | BRAVO TO BOTH OF YOU BEAUTIFULLY EXPLAINED HOLD UP #humantrafficking bill @user @user #womensrights #righttochoose #SemST 64 | @user - I guess this means you're happy for me to be pro-life as I never aborted any of my own children? #hypocrisy #SemST 65 | My body, my life. You fuck it up in a way I'm not prepared for and I will kill you. #SemST 66 | Thank you @user for treating me with kindness & respect & TLC during my wellness exam. #womenshealth #yaycondoms #SemST 67 | -------------------------------------------------------------------------------- /datasets/stance/atheism/test_labels.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 1 3 | 1 4 | 1 5 | 1 6 | 1 7 | 1 8 | 1 9 | 1 10 | 1 11 | 1 12 | 1 13 | 1 14 | 1 15 | 1 16 | 1 17 | 1 18 | 1 19 | 1 20 | 1 21 | 1 22 | 1 23 | 1 24 | 1 25 | 1 26 | 1 27 | 1 28 | 1 29 | 1 30 | 1 31 | 1 32 | 1 33 | 1 34 | 1 35 | 1 36 | 1 37 | 1 38 | 1 39 | 1 40 | 1 41 | 1 42 | 1 43 | 1 44 | 1 45 | 1 46 | 1 47 | 1 48 | 1 49 | 1 50 | 1 51 | 1 52 | 1 53 | 1 54 | 1 55 | 1 56 | 1 57 | 1 58 | 1 59 | 1 60 | 1 61 | 1 62 | 1 63 | 1 64 | 1 65 | 1 66 | 1 67 | 1 68 | 1 69 | 1 70 | 1 71 | 1 72 | 2 73 | 0 74 | 1 75 | 1 76 | 1 77 | 1 78 | 1 79 | 1 80 | 2 81 | 1 82 | 1 83 | 1 84 | 2 85 | 1 86 | 1 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1 214 | 0 215 | 1 216 | 1 217 | 2 218 | 1 219 | 2 220 | 1 221 | -------------------------------------------------------------------------------- /datasets/stance/atheism/train_labels.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 1 3 | 1 4 | 2 5 | 0 6 | 1 7 | 1 8 | 1 9 | 1 10 | 0 11 | 1 12 | 0 13 | 2 14 | 1 15 | 1 16 | 1 17 | 1 18 | 1 19 | 1 20 | 0 21 | 0 22 | 1 23 | 2 24 | 0 25 | 0 26 | 1 27 | 1 28 | 1 29 | 1 30 | 1 31 | 0 32 | 1 33 | 1 34 | 2 35 | 1 36 | 1 37 | 0 38 | 0 39 | 1 40 | 2 41 | 0 42 | 1 43 | 1 44 | 1 45 | 1 46 | 1 47 | 1 48 | 1 49 | 1 50 | 1 51 | 1 52 | 1 53 | 2 54 | 0 55 | 1 56 | 1 57 | 2 58 | 1 59 | 1 60 | 1 61 | 0 62 | 0 63 | 1 64 | 2 65 | 1 66 | 0 67 | 1 68 | 2 69 | 2 70 | 1 71 | 1 72 | 1 73 | 2 74 | 1 75 | 1 76 | 1 77 | 0 78 | 1 79 | 2 80 | 1 81 | 1 82 | 2 83 | 2 84 | 0 85 | 0 86 | 1 87 | 0 88 | 0 89 | 0 90 | 0 91 | 1 92 | 0 93 | 0 94 | 1 95 | 1 96 | 1 97 | 1 98 | 1 99 | 1 100 | 1 101 | 1 102 | 1 103 | 2 104 | 1 105 | 1 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356 | 2 357 | 1 358 | 2 359 | 0 360 | 0 361 | 1 362 | 1 363 | 2 364 | 1 365 | 0 366 | 1 367 | 1 368 | 1 369 | 2 370 | 1 371 | 1 372 | 0 373 | 1 374 | 0 375 | 1 376 | 1 377 | 0 378 | 1 379 | 1 380 | 2 381 | 1 382 | 1 383 | 1 384 | 1 385 | 0 386 | 2 387 | 1 388 | 2 389 | 1 390 | 0 391 | 2 392 | 0 393 | 2 394 | 1 395 | 2 396 | 2 397 | 1 398 | 1 399 | 0 400 | 1 401 | 1 402 | 1 403 | 1 404 | 0 405 | 1 406 | 1 407 | 1 408 | 2 409 | 1 410 | 1 411 | 1 412 | 0 413 | 2 414 | 1 415 | 0 416 | 1 417 | 1 418 | 0 419 | 1 420 | 1 421 | 0 422 | 0 423 | 1 424 | 1 425 | 1 426 | 2 427 | 2 428 | 1 429 | 0 430 | 2 431 | 0 432 | 0 433 | 1 434 | 1 435 | 1 436 | 1 437 | 0 438 | 1 439 | 0 440 | 1 441 | 0 442 | 1 443 | 2 444 | 2 445 | 1 446 | 1 447 | 2 448 | 2 449 | 1 450 | 0 451 | 1 452 | 1 453 | 2 454 | 1 455 | 0 456 | 1 457 | 1 458 | 1 459 | 2 460 | 0 461 | 1 462 | -------------------------------------------------------------------------------- /datasets/stance/atheism/val_labels.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 1 3 | 1 4 | 1 5 | 1 6 | 2 7 | 2 8 | 2 9 | 0 10 | 1 11 | 1 12 | 2 13 | 1 14 | 2 15 | 1 16 | 2 17 | 1 18 | 1 19 | 1 20 | 0 21 | 1 22 | 1 23 | 1 24 | 2 25 | 0 26 | 1 27 | 0 28 | 1 29 | 0 30 | 1 31 | 0 32 | 1 33 | 1 34 | 0 35 | 0 36 | 1 37 | 0 38 | 1 39 | 2 40 | 1 41 | 1 42 | 1 43 | 1 44 | 1 45 | 0 46 | 1 47 | 1 48 | 2 49 | 1 50 | 0 51 | 1 52 | 0 53 | -------------------------------------------------------------------------------- /datasets/stance/atheism/val_text.txt: -------------------------------------------------------------------------------- 1 | You can have everything in this life, but as long as you are not pleasing #God, there will always be a void in your heart. #SemST 2 | Exodus 20:3-4 You shall have no other gods before Me. You shall not make for yourself an image in the form of anything. #SemST 3 | The only esteem that won't abandon us is the esteem given to us by Jesus. ~ Scott Sauls @user #esteem #SemST 4 | These sentences are postcards to future versions of ourselves. Say hello. #spirituality #SemST 5 | Keep the faith. The most amazing things in life tend to happen right at the moment you're about to give up hope. #SemST 6 | Happiness is the pursuit of life and liberty. #TheLUPOL #theism #futurism #SemST 7 | That nagging doubt you keep having about god? Gods not testing u, it's your intellect trying to tell you your beliefs are bullshit. #SemST 8 | Religious leader's pay depends on convincing you that their pile of superstitions is actually true. #freethinker #SemST 9 | No matter what you are going thru, I assure you somewhere in the world somebody has it 10x worse. #bethankful #hope #SemST 10 | @user good to know. I disagree with spirituality asit takes away frm realizing the human condition. We must focus on reality. #SemST 11 | The greatest act of faith some days is to simply get up and face another day. #SemST 12 | Imagine how amazing the world would be without religion. No wars. No hate (religion wise). No extremist. #SemST 13 | @user You forgot, "Release yourself from the binds of historical fiction. #SemST 14 | It was a lot of fun hearing @user talk about his new book #SacredCows. @user #GodlessGala #SemST 15 | #NewsAlert from Heaven: In an effort to minimize the workload #God decides to only answer #gay #prayers #criticalthinking #SemST 16 | There's no religion but sex and music. ~Sting #SemST 17 | RT @user God isn't as interested in what you're doing as He is in who you are becoming. #Bible #SemST 18 | @user was awarded Humanist of the Year at the gala dinner and she even signed her book for us #BHA2015 #SemST 19 | It's YOUR plan, I just gotta be #willing to work hard & Seek you! #SemST 20 | If I get this one job in Charlotte I'll be good #SemST 21 | Papa God, i pray that You shower me with more patience. #worththewait #SemST 22 | No matter how things look, know that #God is still in control. Stay in peace, knowing that He will always be with you. #SemST 23 | I will dwell in a peaceful habitation, in secure dwellings, and in quiet resting places -Isa. 32:18 #SemST 24 | Nothing could be more dangerous to the existence of this Republic than to introduce religion into politics - Robert Green Ingersoll #SemST 25 | I'm #SingleBecause MOST of you mortals are some high maintenance whiny ass little bitches! #EarthShatteringMicDrop #FSM #SemST 26 | Therefore Iwilllook unto theLord; Iwill wait for the God of my salvation: my Godwillhear me. Micah 7:7 #tcot #pjnet #ccot #SemST 27 | @user sweet! Congratulations to a rational decision. #SemST 28 | I like how I'm banned from the FFAF(Freedom from Atheism Foundation) on Facebook. I guess I was too harsh in my comments.. #SemST 29 | If current trend of constitution making continues, Indigenous peoples would more than Madhesis- Hachhethu #identity #inclusion #SemST 30 | dear @user if you real issue with Maha Govt decision , go to court and let them decide. #SemST 31 | God blessed you with 100 dollars? AIDS and Ebola are ripping through kids in Africa, but yo black ass can pay your cable bill. GAWD #SemST 32 | If you are in need of prayer or encouragement, please call my 24/7 prayerline at 772-324-9040. #God bless you! #PrayerChangesThings #SemST 33 | RT @user I command all spirits of addiction to come out of my appetite in the name of Jesus. #SemST 34 | Thoughts go out to family who have lose someone in Tunisia shooting . So glad they shot him down on the spot! #terrorist #Tunisia #SemST 35 | The world was made a better place today, even if it was on a small scale, it was a small step forward. #SemST 36 | #Scientists say that #iron is not from #earth, sorry, The Quran (57:25) outran u by 1400 years! s #SemST 37 | If @user thinks it"s scandalous women make less than men for the same work, why are there no women priests #Catholic #Vatican #SemST 38 | Thy kingdom come! Thy will be done on earth, as it is in heaven. Matthew 6:10 #ComeQuickly #SemST 39 | Our country is finally moving beyond outdated, religious definitions of marriage. @user @user #marriage #SemST 40 | #Necessity is the mother of #innovation. Our #Deen is complete - there is no need for innovation. #islam #SemST 41 | Faithful God, we #pray that we may learn to trust the uncertainty & mystery of walking on water toward you #SemST 42 | Meanwhile, whilst others attempted to distract me, I continued on with my quest. I succeeded. #AntiSatan #AntiBibles #SemST 43 | Interestingly burning your wife alive suspecting her chastity is a great justice Ram style. @user @user @user #SemST 44 | Mary, most sorrowful, Mother of Christians, pray for us. #Catholic #SemST 45 | The desire to reach for the stars is ambitious. The desire to reach hearts is wise. Maya Angelou #wisdom #truth #SemST 46 | Take hold of your Authority in Christ! Take back what the enemy has stolen! #authority #Life #Calling #SemST 47 | You stick in the postcode on where you want to go and God will set the SatNav onhow to get there @user @user #Destiny #SemST 48 | @user the more afraid you're wrong the stronger you fight to avoid facing facts. Belief based in fear just compounds that #SemST 49 | Calling all Angel. The angels will sing for the innocent. May God bless you. #MaryJaneVeloso #SemST 50 | Very excited that the #SCOTUS ruled in favor of #MarriageEquaility #LoveWins #SemST 51 | I've been everywhere but Still in my spirit today. Then O Thee of lil faith, slapped me in my face! LOL #HELIVES #LOVE #SemST 52 | The worst day of my life so far is here, setting my Nan to rest. Even as a physicist, times like these make you wonder. #SemST 53 | -------------------------------------------------------------------------------- /datasets/stance/climate/test_labels.txt: -------------------------------------------------------------------------------- 1 | 0 2 | 2 3 | 2 4 | 0 5 | 2 6 | 2 7 | 2 8 | 2 9 | 0 10 | 2 11 | 2 12 | 0 13 | 2 14 | 2 15 | 0 16 | 2 17 | 2 18 | 2 19 | 2 20 | 0 21 | 2 22 | 2 23 | 2 24 | 2 25 | 2 26 | 2 27 | 2 28 | 2 29 | 2 30 | 0 31 | 2 32 | 0 33 | 2 34 | 2 35 | 2 36 | 2 37 | 2 38 | 2 39 | 0 40 | 2 41 | 2 42 | 2 43 | 0 44 | 2 45 | 2 46 | 2 47 | 0 48 | 2 49 | 2 50 | 0 51 | 0 52 | 2 53 | 2 54 | 2 55 | 2 56 | 0 57 | 2 58 | 2 59 | 0 60 | 2 61 | 2 62 | 2 63 | 2 64 | 2 65 | 2 66 | 2 67 | 2 68 | 2 69 | 2 70 | 2 71 | 0 72 | 2 73 | 2 74 | 2 75 | 2 76 | 2 77 | 2 78 | 2 79 | 2 80 | 0 81 | 2 82 | 2 83 | 2 84 | 2 85 | 2 86 | 2 87 | 0 88 | 2 89 | 2 90 | 2 91 | 2 92 | 2 93 | 0 94 | 2 95 | 2 96 | 2 97 | 2 98 | 2 99 | 0 100 | 1 101 | 2 102 | 2 103 | 0 104 | 2 105 | 2 106 | 2 107 | 2 108 | 2 109 | 2 110 | 1 111 | 0 112 | 0 113 | 2 114 | 0 115 | 0 116 | 2 117 | 2 118 | 0 119 | 0 120 | 2 121 | 1 122 | 2 123 | 0 124 | 2 125 | 2 126 | 2 127 | 2 128 | 1 129 | 2 130 | 2 131 | 2 132 | 2 133 | 0 134 | 2 135 | 2 136 | 0 137 | 1 138 | 2 139 | 2 140 | 2 141 | 2 142 | 2 143 | 2 144 | 2 145 | 2 146 | 1 147 | 1 148 | 1 149 | 2 150 | 1 151 | 2 152 | 1 153 | 2 154 | 2 155 | 2 156 | 0 157 | 2 158 | 1 159 | 2 160 | 2 161 | 2 162 | 0 163 | 0 164 | 0 165 | 0 166 | 2 167 | 2 168 | 2 169 | 2 170 | -------------------------------------------------------------------------------- /datasets/stance/climate/test_text.txt: -------------------------------------------------------------------------------- 1 | Closed door session begins. More after they decide on the entities. #GCF #SemST 2 | What is the #energiewende agenda? Why are they not in the "de-carbonizer" camp?. How long will you tolerate the lies? #SemST 3 | @user Stocker: Fish catch potential could drop by as much as 50% in some areas due to #oceanacidification. #CFCC15 #SemST 4 | ...a longer memory, and a sterner sense of justice than we do. -W.Berry #SemST 5 | Boni "Future Sea level rise will not be uniform & different for coasts" #CCFC15 #Journey2015 #SemST 6 | @user Bony: Extreme weather events (heat waves, drought, flooding, windstorms) made more frequent/intense by #CFCC15 #SemST 7 | Camille Parmesan: 2/3 of species have changed #habitat because of #H12 #CFCC15 #SemST 8 | 5 meta-analyses show 1/2 of species have changed where they live, 2/3 have changed when they live. Camille Parmesan #CFCC15 #SemST 9 | It literarly just took me 10 minutes to get in a bus because an old lady just had to go in front of everyone... #SemST 10 | Grubb: state of energy: shift US & EU from net-producer to net-importer of emissions" #CCFC15 #journey2015 #SemST 11 | Interesting speaker Maarten Van Aalst @user how their humanitarian experience can help Climate scientists #CCFC15 #SemST 12 | putting my neck out as such when I did not have to be here at all? Regards Dion #peace #GMS #Democracy #Transparency #Future! #SemST 13 | grow food not lawns Lawns are Ecocide in your yard. #Patriarchy is Ecocide of your own species #DominoEffect #SemST 14 | This halcyon summer is over. Climate is on the move. Doug Kelbaugh #CNU23 #declarationsignee #SemST 15 | @user we Have to talk about new normals #SemST 16 | Citizens have a right to access information that would protect their lives against #risk #CLIMWARN #CFCC15 #vulnerability #SemST 17 | That moment when Canadians realised global warming doesn't equal a tropical vacation #BCwildfire #Canadaburns #SemST 18 | We NEED alternatives to #fossilfuel, but also need to maintain our #economy! This change will be gradual so lets START NOW! #SemST 19 | #Defrance: displacements due to natural disasters higher than those caused by conflicts #migration #development #CFCC #S2242 #SemST 20 | @user Yes, you shouldn't. But, stop killing animals is not the only reason to become a vegan - #stopfamine #behealthy #SemST 21 | We don't inherit the earth from our parents we borrow it from our children #Conservation #Perspective #SemST 22 | .@vj44 @user Yay! We'd love to convert to solar power! PG&E plan to raise our rates again. #ActOnClimate #p2 #SemST 23 | #rsaeconomy: #tax can surely play a greater role in helping richer countries slow emissions and poor countries transition. #SemST 24 | It's raining and feels like fall I don't know what kinda summer this is #isReal #SemST 25 | We can address both climate change and sustainable development with the same measures @user #SDGs #climateaction #COP21 #SemST 26 | @user what's the plan for getting job-creating big green energy corps located here in #alberta? #taxbreaks #jobs #SemST 27 | #Mission:#Climate @ home > Purchase renewable power from your utility (by @user #Tip #ImpactIsReal #SemST 28 | There's no more normal rains anymore. Always storms, heavy and flooding. #SemST 29 | @user HS2 does too much damage to local communities + to the environment,they use 60% more fuel than regular trains. #SemST 30 | As Western Canada Burns Harper's got his head so deep in the #tarsands he can see #ChristyClark's ankles #BCwildfire #cdnpoli #SemST 31 | Also what's up with this ridiculous weather?? It was raining this morning and now it's like super hot! #weatherproblems #lame #SemST 32 | @user @user @user @user What values is heUsing ref criminal safety checks for weaponsAddressing #SemST 33 | Eager to learn at the Modern Prosperity event at the @user hosted by @user #carbonpricing #jobsjusticeclimate #SemST 34 | The #carbontrading in #Quebec has very ambitious GHG reduction target of 20% #nspoli #SemST 35 | @user anthropogenicthat which is caused by humans; #SnowballJim #SemST 36 | I thought Seattle was supposed to have a lot more rain #drought #SemST 37 | On a scale of 1 to 10 the air quality in Whistler is a 35. #wildfires #BCwildfire #SemST 38 | @user yes Catherine, the future of human civilisation depends on this generation & how it acts on #Auspol #SemST 39 | It's most exciting to witness a major development! @user #SemST 40 | We are causing the ice masses of Earth to melt at an alarming rate. #SemST 41 | @user Will @user support Canterbury Rocket + Nuclear Power for NZ? Send our nuclear waste to space @user #SemST 42 | @user research is irrelevant when biosphere is on the brink of collapse. #deforestation #6thExtinction #war #SemST 43 | @user Indigenous ppl will save the country, if it's not too late. #SemST 44 | Turn the Liverpool Plains into a coal mine...is there any bad idea this government doesn't like? #FoodBowl #Shenhua #auspol #SemST 45 | @user Seems the marine animals are finally declaring war on man due to man-made environmental destruction. #SemST 46 | Seems I may yet get my Climate Apocalypse >:) You fucking morons! #Shenhua #LNPFAIL #keepitintheground #SemST 47 | The Weather app keeps taunting us with rain. #PNW #drought #SemST 48 | What do you do to help reverse climate change? Tweet your tips to inspire others! #Tip #SavePolarBear #SemST 49 | You know things are pretty out of control when you're happy to have "only" 30 degrees C indoor and it feels good. #SemST 50 | Haven't moved an inch since yesterday. #bcpoli #vancouver #bcwildfire #yvr #realrenewables #SemST 51 | @user @user @user @user @user NEVER KNEW INCONVENIENT FACTS WARRANTED A SHRINK!!! ROTFLMAO #auspol #SemST 52 | Will the world place sanctions on #Australia for it's insane pursuit of new massive #coal mines? #UN #auspol #sanctions #SemST 53 | Now moving from summer season to........ Life, too moves from... #climate #weatherchange #rain #forecast #wind #SemST 54 | Climate change is my issue - make it yours #Zim #SemST 55 | #Mission:#Climate @ home > Don't let heat escape from your house over a long period #Tip #EarthRightNow #SemST 56 | Counting down the days until my PhD starts #77 #tephrochronology #southernhemisphere #chronology #oxford #SemST 57 | Today Europe is breaking heat records, while Asia is breaking the lowest temperature records!! Should we not be concerned?! #SemST 58 | Paul Leadley Talking about #biodiversity scenarios under #h22 #CFCC15 #SemST 59 | Our cardboard city with @user from @user in our @user youth club on Monday. #SemST 60 | Dhakal: There is no silver bullet for solutions - each city has to devise own local/specific responses to #CFCC15 #SemST 61 | Follow @user for information on #CFCC15 - the climate change conference in Paris. #SemST 62 | Am not a Catholic, but the pope is spot on when it comes climate change & protecting the amazon forest. #SemST 63 | Food and water security are intertwined: "Adaptation costs water." #CFCC15 #journey2015 #L25 #SemST 64 | It's July and its 57 degrees, can't imagine what winter is going to feel like this year. #ChicagoWeather #SemST 65 | Adaptation is something that reduces the negative impact or enhances the positive impact of #CFCC15 #Journey2015 #SemST 66 | @user tackles difficult challenges of growth needs and unemployment alongside #CFCC15. #SemST 67 | Much good to be had in the lead up to #COP21. 2,200 researchers from over 100 countries, uniting to address global #CFCC15 #SemST 68 | #Earth is a #finite in #nature #environment, "no amount of #dividend #value can #buy its #natural #diversity back! #SemST 69 | #Obama said "can't prevent oil exploration completely" in the Arctic, is "setting the highest possible standards=BS #shellno #SemST 70 | @user Tuvalu has been at the forefront of dealing with consequences of climate change. They are realists #auspol #SemST 71 | A Very Good Discussion:Ruth Valerio @user and Premier Radio's @user on key issues affecting us in #Pope #Encyclical #SemST 72 | Be kind to the earth beneath your feet. #environment #SemST 73 | Also, it's raining here in the Brazilian central savannas. We were supposed to be in the pinnacle of the dry season. #SemST 74 | avg house in US consumes 10,656 kWh per year 2006, Gore devoured nearly 221,000 kWh more than 20 X the nat average. #onpoli #SemST 75 | Please will someone at @user clarify what Osbourne said about oil and renewables energy? #budget2015 #futureoftheplanet #SemST 76 | Participation is essential: bring vulnerable voices to the table at #COP21 says @user #AgCOP21 #CFCC15 @user #SemST 77 | We blame cities for the majority of CO2 emissions without acknowledging their vulnerability to #CFCC15 #journey2015 #S2228 #SemST 78 | @user LOL. Too bad all the other scientists agree with him. #ClimateChangeDenier #SemST 79 | #KCA #VoteJKT48ID ClimateCommRPB: The green diet: how to eat healthy and save the planet #SemST 80 | @user thank you for the follow Jim! I'm flattered! #SemST 81 | @user @user Need hydro bill fix in ON so ppl won't use dirty alt fuels to heat homes. #foodorheat #onpoli #SemST 82 | #Asthma is hitting our communities hard in #Chicago says @user Kim Wasserman #cleanair4kids #Latinos #SemST 83 | The extreme humidity and heat right now might kill me and it's only 10a.m. #FloridaProblems #SemST 84 | @user @user @user @user U love CO2 so I can only understand your point of view.But u n I know the trigger of #SemST 85 | Haven't seen the mountains in days with all these fires. Can't stand breathing this air quality any longer!! #SemST 86 | @user @user @user @user @user Criminal capitalist wrecked economy08Now misleadingInvestors as to Risk of #Ecocide #SemST 87 | Jared likes child porn now .... Is that what happens if you eat all your meals at Subway? Must be either that or #SemST 88 | @user @user @user @user #CSOTA #fossilfuels corp misleading investors about liability for #Ecocide #SemST 89 | Actually on second thoughts, it's pretty bloody terrifying #climatecrisis #ISS15 #SemST 90 | Gone are the days where we would get temperatures of Min -2 and Max 5 in Cape Town #SemST 91 | Zinta Zommers: need for a unified tool to bring all these variabilities together #CFCC15 #climate #SemST 92 | #Mission:#Climate @ home > Run your dishwasher only if it's full. (by @user #Tip #ActOnClimate #SemST 93 | The stock market froze In the summer ?!! #SemST 94 | Living an unexamined #life may be easier, but leads to disastrous consequences. #ActonClimate #Action2015 #leadership #SemST 95 | @user @user @user 2014 was hottest year on record. Looks like 2015 is going to break that record. #SemST 96 | Climate Change Deniers are Like Pre Historic Cave Dwellers: California Governor Jerry Brown #CSOTA #uspoli #cdnpoli #SemST 97 | What has happened to sunny Colorado?? #cloudy #denver #nosunshine #SemST 98 | The biggest terror threat in the World is climate change #drought #floods #SemST 99 | What has been will be again, what has been done will be done again; there is nothing new under the sun. Ecclesiastes 1:9 #SemST 100 | ONE Volcano emits more pollution than man has in our HISTORY! #SemST 101 | @user Republicans don't care about the environment all together. They deny this fact. #SemST 102 | @user Reminds me of Nottingham in the early 1960's #ActOnClimate #SemST 103 | @user Jason Berry says he discusses that while $$ would buy a big pipe, maybe that won't work w #ResilientChicago #SemST 104 | #Follow @user US leader in weather #riskmanagement . Helping the world's #economy adapt to climate change. #SemST 105 | #CSOTA is trending at #3 in Canada on Twitter Now w/ 3,800 Tweets from the #Climate Summit of the Americas! #sm #socialmedia #SemST 106 | Why is Stephen Harper or representative not at #costa Does he not care about the environment? #cdnpoli #environment #SemST 107 | RT @user Thanks to everyone in Maine who contacted their legislators in support of #energyefficiency funding! #MEpoli #SemST 108 | We're Committed to Green in Our Dreams: @user What'll Drive Change is Power of Parents & Grandparents #CSOTA #SemST 109 | @user @user @user @user @user "We are the last generation who can address this climate change #SemST 110 | @user ice cracking in the summer?? SO ALARMING. #climatechangehoax #SemST 111 | Its July 8th.. I have clean clothes... I just put jeans on though. #SemST 112 | the water hole time to drink! RT"@vicenews #SemST 113 | I understand the rain, but it is only about 60 degrees right now..... It is never 60 degrees in July.... #SemST 114 | .@McKenzieAmanda's presentation on shifting the public narrative in a hostile environment should be good #anzca2015 #SemST 115 | 67 degrees Fahrenheit on July 8th. I love this weather! #PureMichigan #SemST 116 | #coalmining & destruction of our ability to live on earth is so stupid. Don't kill our species habitat #duh #Shenhua #SemST 117 | @user @user how about you give me TWO SENTENCES about climate instead of ending with a bs whale story. #SemST 118 | Someone send some chicken soup or some '80s Conan comics to @user he's under the weather & noone wants to be there #SemST 119 | @user @user Right out of the Big Tobacco playbook! Why is this disgusting strategy so bulletproof? #SemST 120 | @user @user Nobody denies the climate changes. #SemST 121 | #ClimateChangeDefinitions "settled science" = flawed computer models with jiggered data to force a predefined conclusion. #SemST 122 | People need to wake up & realize what's happening to our earth #hello #SemST 123 | #Questiontime Who is more likely to solve problems related to #poverty #sustainability & #government? #religion? #business? #SemST 124 | The countries most likely to survive climate change in one infographic #Survive #Infographic #SemST 125 | Terraform Earth so we can recolonize our own homes. #SemST 126 | What's next after 2 years? :) #thinkbig #world #solution #water #SemST 127 | Climate change has already cut into the global food supply and is fuelling wars &natural disasters #FoodFactsWithHeroRadio #SemST 128 | @user Still a larval theory. Still poorly modelled. Still unquantified. Still multi-factor. Still flummoxed by albedo. #SemST 129 | Whole species #Boomers #GenerationX GenerationY #GenZ Needs a vacation. 25 years on a Greek Island anyone? #HumanExtinction #SemST 130 | #Mission:#Climate on the road > Fly less #Tip #EarthRightNow #SemST 131 | Edenhofer: Carbon pricing is needed but not sufficient. we need complementary policies to counter #coal renaissance & #CFCC15 #SemST 132 | Humanity is making #mother earth angry, that angriness is the reason for #SemST 133 | @user Jonathan Tillson from @user highlights how economic stability will be undermined by #SemST 134 | UK homes & buildings need to be adapted to higher temperatures Daniel Johns @user #weetfEvents #adaptation #SemST 135 | Plants and trees make oxygen which we breathe and killing the rainforest will make the earths oxygen supply weak. #earth #SemST 136 | $500,000 on flags in 12 months vs An Inter-Generational Rot that addresses #ThingsToSpendMyTaxesOnOtherThanFlags #SemST 137 | Climate deniers is a term used to silence those pointing out the hypocrisy in the fanatical zeal on #climatetruth #SemST 138 | #Mission:#Climate on the road > Purchase a fuel-efficient, low-greenhouse gas vehicle (by @user #Tip #MissionAccept #SemST 139 | @user Will we change? That's the reason we are here. Be of good cheer. We're going to win this #CSOTA #SemST 140 | Incredibly moving as a scientist weeps on @user for the #ocean & for our grandchildren's future ttp://bbc.in/1G9uil5 #SemST 141 | Following the invitation only Climate Summit of the Americas online via twitter #CSOTA #Toronto #environment #COP21 #climate #SemST 142 | Are the voices of younger generations represented at #CSOTA? We have a say in our collective future. #environment #COP21 #SemST 143 | @user We're proud to sign #ORbizclimatedeclaration because we are committed to fighting climate change #SemST 144 | I remember a time when summer was actually summer, you know when it was sunny and 90 degrees everyday #whatshappening #SemST 145 | @user Rettet die Erde! Save the Earth! #SemST 146 | @user yes ironic that the alarmists are the actual "deniers #SemST 147 | @user Hey Justin I will give you 50 cents if you stop talking about climate 'Change' #Ottawa #davidsuzuki #cbc #SemST 148 | If @user & @user don't have to follow SCOTUS why should anyone else have to #ClimateFraud #SpecialReport #WakeUpAmerica #SemST 149 | If we want a future for our/Canadian kids we all need to seriously wake the fuck up,No more talk only action #Harper #SemST 150 | Govt announcement on zero carbon homes "short-sighted, unnecessary, retrograde and damaging" says @user #energyefficiency #SemST 151 | @user Good to see more global awareness, thanks. #SemST 152 | We are not "killing the Earth". The Earth has been through worse and will be fine after all humans suffocate, drown or starve #SemST 153 | Sea Level Rise above 6 meters - what does that mean? It means 20 ft above current heights. #SemST 154 | @user This is not a fantasy this is negligence collusion with criminal corporations acting with negligence to #Ecocide #SemST 155 | We need governments and corporations to respond AND ordinary people to change our daily habits to consume less. #SemST 156 | If you dont have the capacity to take it in and act-what can you do to increase your capacity for connection and compassion? #SemST 157 | #Mission:#Climate @ home > Take a shower instead of a bath #Tip #LoveOurPlanet #SemST 158 | The only thing "man made" about global warming is the false narrative. #WakeUpAmerica #boycottSanFrancisco #Election2016 #SemST 159 | Growing concern of Pacific Islanders to adapt to sea level rise, increasing storminess; want to avoid becoming CC refugees #SemST 160 | @user Everyone should learn this recipe - given summers are going to get warmer every year! #SemST 161 | Rec high temp for this date in Charlotte is 101*. That was set in 1926. T-models were the worst for dangerous emissions. #SemST 162 | Lot's of time, class over! @user #SemST 163 | @user Oh for the love of Pete! I thought we were going to be incinerated by then! #SemST 164 | If complaining about irrelevant problems were illegal maybe we could solve some of the important issues #itsjustaflag #SemST 165 | @user - "All" you folks #owe me an #official #apology at this point "absolute" ([minimum]), re's D #peace #Transparency #SemST 166 | Maybe we should start "labelling every #product" made with its "#Environmental #footprint"? Sooner or later we must act! #SemST 167 | If we touch #Antarctica for one more #reason other than to #research the #impact of us we would be #insane! #Democracy #Goal? #SemST 168 | Wind power helped stabilize Texas' power grid during a 2014 cold snap that suddenly increased demand. #ClimateHope #Climate #SemST 169 | It's so cold and windy here in Sydney, I just saw a climate scientist fly past my window #auspol #ClimateChangeIsReal #SemST 170 | -------------------------------------------------------------------------------- /datasets/stance/climate/train_labels.txt: -------------------------------------------------------------------------------- 1 | 0 2 | 2 3 | 0 4 | 0 5 | 2 6 | 0 7 | 0 8 | 2 9 | 2 10 | 0 11 | 0 12 | 2 13 | 0 14 | 0 15 | 0 16 | 2 17 | 0 18 | 0 19 | 0 20 | 0 21 | 0 22 | 0 23 | 2 24 | 2 25 | 0 26 | 2 27 | 2 28 | 2 29 | 2 30 | 2 31 | 0 32 | 2 33 | 0 34 | 2 35 | 2 36 | 2 37 | 2 38 | 2 39 | 2 40 | 0 41 | 0 42 | 2 43 | 0 44 | 2 45 | 0 46 | 0 47 | 2 48 | 2 49 | 2 50 | 0 51 | 0 52 | 0 53 | 2 54 | 0 55 | 2 56 | 0 57 | 2 58 | 2 59 | 0 60 | 2 61 | 2 62 | 2 63 | 0 64 | 2 65 | 0 66 | 0 67 | 2 68 | 2 69 | 0 70 | 0 71 | 0 72 | 2 73 | 0 74 | 2 75 | 2 76 | 0 77 | 2 78 | 2 79 | 0 80 | 2 81 | 1 82 | 2 83 | 2 84 | 0 85 | 2 86 | 0 87 | 0 88 | 2 89 | 0 90 | 2 91 | 0 92 | 2 93 | 2 94 | 2 95 | 2 96 | 2 97 | 2 98 | 0 99 | 2 100 | 0 101 | 2 102 | 0 103 | 0 104 | 0 105 | 0 106 | 2 107 | 0 108 | 2 109 | 2 110 | 0 111 | 0 112 | 2 113 | 1 114 | 2 115 | 0 116 | 2 117 | 0 118 | 2 119 | 1 120 | 2 121 | 1 122 | 2 123 | 2 124 | 0 125 | 2 126 | 2 127 | 2 128 | 2 129 | 2 130 | 2 131 | 2 132 | 2 133 | 0 134 | 0 135 | 2 136 | 2 137 | 2 138 | 1 139 | 2 140 | 2 141 | 2 142 | 2 143 | 2 144 | 0 145 | 2 146 | 0 147 | 0 148 | 2 149 | 0 150 | 2 151 | 2 152 | 0 153 | 2 154 | 2 155 | 2 156 | 0 157 | 0 158 | 2 159 | 2 160 | 0 161 | 2 162 | 0 163 | 2 164 | 0 165 | 2 166 | 1 167 | 2 168 | 0 169 | 2 170 | 2 171 | 0 172 | 0 173 | 2 174 | 2 175 | 2 176 | 0 177 | 0 178 | 2 179 | 0 180 | 0 181 | 0 182 | 2 183 | 0 184 | 0 185 | 0 186 | 2 187 | 0 188 | 2 189 | 2 190 | 0 191 | 2 192 | 2 193 | 2 194 | 2 195 | 0 196 | 2 197 | 0 198 | 0 199 | 2 200 | 0 201 | 2 202 | 2 203 | 0 204 | 0 205 | 0 206 | 0 207 | 0 208 | 2 209 | 0 210 | 2 211 | 2 212 | 0 213 | 0 214 | 2 215 | 2 216 | 2 217 | 0 218 | 2 219 | 2 220 | 0 221 | 0 222 | 0 223 | 0 224 | 1 225 | 0 226 | 2 227 | 2 228 | 2 229 | 2 230 | 0 231 | 2 232 | 2 233 | 2 234 | 0 235 | 0 236 | 2 237 | 2 238 | 0 239 | 2 240 | 0 241 | 0 242 | 0 243 | 0 244 | 0 245 | 0 246 | 0 247 | 0 248 | 0 249 | 0 250 | 0 251 | 2 252 | 2 253 | 0 254 | 1 255 | 2 256 | 0 257 | 0 258 | 0 259 | 0 260 | 1 261 | 2 262 | 2 263 | 2 264 | 2 265 | 0 266 | 2 267 | 2 268 | 2 269 | 0 270 | 2 271 | 2 272 | 2 273 | 2 274 | 2 275 | 2 276 | 1 277 | 0 278 | 2 279 | 2 280 | 2 281 | 2 282 | 1 283 | 0 284 | 2 285 | 0 286 | 2 287 | 0 288 | 2 289 | 2 290 | 0 291 | 0 292 | 2 293 | 2 294 | 2 295 | 2 296 | 2 297 | 1 298 | 0 299 | 0 300 | 0 301 | 0 302 | 2 303 | 2 304 | 2 305 | 2 306 | 2 307 | 2 308 | 2 309 | 2 310 | 2 311 | 0 312 | 1 313 | 2 314 | 0 315 | 2 316 | 2 317 | 2 318 | 0 319 | 2 320 | 2 321 | 2 322 | 0 323 | 0 324 | 2 325 | 2 326 | 2 327 | 0 328 | 0 329 | 0 330 | 2 331 | 0 332 | 2 333 | 0 334 | 2 335 | 0 336 | 2 337 | 2 338 | 2 339 | 2 340 | 0 341 | 2 342 | 0 343 | 0 344 | 2 345 | 2 346 | 2 347 | 2 348 | 0 349 | 2 350 | 2 351 | 0 352 | 0 353 | 0 354 | 0 355 | 0 356 | -------------------------------------------------------------------------------- /datasets/stance/climate/val_labels.txt: -------------------------------------------------------------------------------- 1 | 2 2 | 0 3 | 0 4 | 2 5 | 2 6 | 2 7 | 2 8 | 2 9 | 0 10 | 2 11 | 0 12 | 0 13 | 2 14 | 0 15 | 2 16 | 2 17 | 0 18 | 2 19 | 0 20 | 2 21 | 2 22 | 2 23 | 2 24 | 1 25 | 0 26 | 0 27 | 2 28 | 2 29 | 1 30 | 0 31 | 2 32 | 2 33 | 0 34 | 2 35 | 0 36 | 0 37 | 0 38 | 0 39 | 2 40 | 0 41 | -------------------------------------------------------------------------------- /datasets/stance/climate/val_text.txt: -------------------------------------------------------------------------------- 1 | #Mission:#Climate @ home > Simplify (by @user #Tip #DoYourPart #SemST 2 | Can @user use $866,615 of jet fuel on His #EarthDay trip to Florida? YES HE CAN!!! -mao @user #FAIL #SemST 3 | .@whelan60 "While this debate goes on, yet more time is wasted." #thedrum #SemST 4 | Sir David Attenborough and @user dissgussing the planet future. The room doesn't get any better than this. #SemST 5 | How did the #GreatBarrierReef look to you compared to when you dived it 60 years ago? @user #Attenborough @user #SemST 6 | Ocean acidification is the most important scientific crisis that we face today Donna Roberts #CambioClimatico #SemST 7 | Is the new Pahiatua plant going to be primarily coalfired? Large companies like @user should be taking the lead against #SemST 8 | if this heat is killing me i don't wanna know what the poor polar bears are going through right now #SemST 9 | The #MNTwins game is going really fast tonight. More proof of #SemST 10 | @user RobertRedford + Pope say time is now. GreenNH3 is ready to roll. We all want machines. What is holdup ? #pollution #SemST 11 | Dallas still hasn't hit 100 this year. #SemST 12 | Honestly I don't understand why I like California so much. I'm so bad in the heat. #SemST 13 | Our amazing #ESS15 panel @user @user @user & @user on how to prepare & protect #BayArea region from #SemST 14 | Good news #SCOTUS confirmed the #UN has ZERO authority of U.S. property or enforcement. Who cares what the elites say! #COP21 #SemST 15 | GA: AIW Support Strong Compass. Global Climate Agreement: passed #uuaga #SemST 16 | Climate change financing,cc adaptation, cc and resilience,the green economy.Lots of semantics as communities waitforsolutions #SemST 17 | I'm burnin up baby where u at? #hangin #hanginpls #SemST 18 | (2/2) 300 words and be sent to climateconference2015@gmail.com #sustainability #sustainabledevelopment #SemST 19 | Minister @user about the importance of #INDCs to build momentum to #Paris2015 at press conference at #UN #SemST 20 | #SCOTUS, We need to force #power #plants To cut #emissions of #mercury and other #air pollutants asap! #POTUS #EPA #Justices #SemST 21 | @user says he wants carbon fund to be spent on public transportation and renewable energy. #ejlive #ableg #SemST 22 | #Mission:#Climate @ home > Move your thermostat down 2C in winter and up 2C in summer #Tip #DoYourPart #SemST 23 | Hey @user please reject the Adani Carmichael #coal mine and Abbot Point. Our Reef and climate are at risk! #GBR #SemST 24 | When did CO2 become a dangerous pollutant that must be curtailed? What do you exhale again? #Iwantanswers #SemST 25 | David Attenborough being interviewed by President Obama is brilliant & fascinating viewing #ForeignCorrespondent #ABC #tunein #SemST 26 | One day it will be clear that someone has changed their opinion due 2 one or more of my tweets, but I'm not holding my breath #SemST 27 | #Mission:#Climate @ home > Wash laundry in cold water (by @user #Tip #DoYourPart #SemST 28 | #Mission:#Climate @ home > Wrap your water heater in an insulation blanket #Tip #ActOnClimate #SemST 29 | I'm sick of celebrities who think being a well known actor makes them an authority on anything else. #robertredford #UN #SemST 30 | Can't wait to watch 'When Attenborough Met Obama' Should be fascinating! @user #sirdavidattenborough #lovemydavid #Hero #SemST 31 | 56. Here we see how environmental deterioration and human & ethical degradation are closely linked. #LaudatoSi #environment #SemST 32 | Politics, Religion, Race; we are so busy killing & hurting each other, Earth dries up & we will all die anyway. #drought #SemST 33 | I expected New Zealand's so-called leaders to show leadership. Instead they show weak-minded ignorance. Laggardship. #SemST 34 | Are these ominous yellow #Vancouver skies making anyone else dread our climate future? #wildfires #SemST 35 | There are NO two sides to this discussion. --@StopMotionsolo #SemST 36 | @user @user @user Denial isn't just a river in Egypt. It's #gop strategy. #racism #SemST 37 | For me watching the #ideology of #capitalism at work is like watching a "train wreck" in #progress! #Democracy #Goal? #Future #SemST 38 | @user Good grief! I can feel the desperation seeping off the page. GOOD. We've got 'em on the ropes. #SemST 39 | UN, decline of 50% in crop yields in developing countries (rice,wheat,corn) over the next 35 years,especially in the tropics #SemST 40 | There's a great challenge 4 #leadershhip in #globslopportunity 2search synergetic efforts w/ their fellows to get engaged in #SemST 41 | -------------------------------------------------------------------------------- /datasets/stance/feminist/test_labels.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 1 3 | 1 4 | 1 5 | 1 6 | 1 7 | 1 8 | 1 9 | 1 10 | 1 11 | 1 12 | 1 13 | 1 14 | 1 15 | 1 16 | 1 17 | 1 18 | 1 19 | 1 20 | 1 21 | 1 22 | 1 23 | 1 24 | 1 25 | 1 26 | 1 27 | 1 28 | 1 29 | 1 30 | 1 31 | 1 32 | 1 33 | 1 34 | 1 35 | 1 36 | 1 37 | 1 38 | 1 39 | 1 40 | 1 41 | 1 42 | 1 43 | 1 44 | 1 45 | 1 46 | 1 47 | 1 48 | 1 49 | 1 50 | 1 51 | 1 52 | 1 53 | 1 54 | 1 55 | 1 56 | 1 57 | 1 58 | 1 59 | 1 60 | 1 61 | 1 62 | 1 63 | 1 64 | 1 65 | 1 66 | 1 67 | 1 68 | 1 69 | 1 70 | 1 71 | 1 72 | 1 73 | 1 74 | 1 75 | 1 76 | 1 77 | 1 78 | 0 79 | 1 80 | 1 81 | 2 82 | 2 83 | 2 84 | 1 85 | 2 86 | 0 87 | 0 88 | 1 89 | 0 90 | 2 91 | 2 92 | 0 93 | 1 94 | 0 95 | 0 96 | 1 97 | 1 98 | 2 99 | 0 100 | 1 101 | 0 102 | 1 103 | 2 104 | 1 105 | 0 106 | 0 107 | 2 108 | 0 109 | 1 110 | 1 111 | 1 112 | 1 113 | 0 114 | 2 115 | 2 116 | 0 117 | 2 118 | 2 119 | 0 120 | 1 121 | 1 122 | 0 123 | 1 124 | 2 125 | 0 126 | 1 127 | 2 128 | 1 129 | 1 130 | 1 131 | 1 132 | 0 133 | 1 134 | 2 135 | 0 136 | 1 137 | 0 138 | 1 139 | 1 140 | 1 141 | 0 142 | 2 143 | 1 144 | 2 145 | 2 146 | 1 147 | 2 148 | 1 149 | 0 150 | 1 151 | 0 152 | 1 153 | 2 154 | 0 155 | 1 156 | 0 157 | 1 158 | 1 159 | 0 160 | 0 161 | 2 162 | 0 163 | 0 164 | 0 165 | 2 166 | 2 167 | 1 168 | 2 169 | 0 170 | 1 171 | 1 172 | 2 173 | 2 174 | 1 175 | 1 176 | 2 177 | 2 178 | 2 179 | 1 180 | 1 181 | 1 182 | 1 183 | 1 184 | 1 185 | 2 186 | 2 187 | 1 188 | 2 189 | 2 190 | 2 191 | 2 192 | 0 193 | 2 194 | 0 195 | 0 196 | 2 197 | 0 198 | 1 199 | 0 200 | 1 201 | 1 202 | 2 203 | 1 204 | 1 205 | 1 206 | 2 207 | 2 208 | 0 209 | 2 210 | 0 211 | 1 212 | 0 213 | 1 214 | 1 215 | 1 216 | 2 217 | 1 218 | 2 219 | 1 220 | 1 221 | 2 222 | 2 223 | 2 224 | 2 225 | 1 226 | 1 227 | 1 228 | 1 229 | 1 230 | 1 231 | 1 232 | 1 233 | 1 234 | 1 235 | 1 236 | 1 237 | 1 238 | 1 239 | 1 240 | 1 241 | 1 242 | 1 243 | 1 244 | 1 245 | 1 246 | 1 247 | 1 248 | 1 249 | 1 250 | 1 251 | 1 252 | 1 253 | 1 254 | 1 255 | 1 256 | 1 257 | 1 258 | 2 259 | 1 260 | 1 261 | 0 262 | 1 263 | 1 264 | 1 265 | 1 266 | 1 267 | 2 268 | 1 269 | 1 270 | 0 271 | 1 272 | 0 273 | 1 274 | 2 275 | 0 276 | 2 277 | 0 278 | 2 279 | 2 280 | 2 281 | 2 282 | 2 283 | 1 284 | 2 285 | 1 286 | -------------------------------------------------------------------------------- /datasets/stance/feminist/train_labels.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 0 3 | 2 4 | 2 5 | 0 6 | 2 7 | 1 8 | 1 9 | 1 10 | 0 11 | 2 12 | 2 13 | 1 14 | 0 15 | 1 16 | 1 17 | 1 18 | 1 19 | 2 20 | 1 21 | 2 22 | 0 23 | 1 24 | 1 25 | 1 26 | 0 27 | 1 28 | 2 29 | 0 30 | 2 31 | 1 32 | 1 33 | 1 34 | 0 35 | 2 36 | 0 37 | 2 38 | 2 39 | 2 40 | 1 41 | 2 42 | 2 43 | 1 44 | 0 45 | 1 46 | 2 47 | 1 48 | 0 49 | 2 50 | 0 51 | 0 52 | 1 53 | 2 54 | 1 55 | 2 56 | 2 57 | 1 58 | 2 59 | 2 60 | 1 61 | 2 62 | 1 63 | 1 64 | 1 65 | 1 66 | 2 67 | 2 68 | 1 69 | 0 70 | 0 71 | 0 72 | 1 73 | 1 74 | 1 75 | 1 76 | 1 77 | 2 78 | 1 79 | 2 80 | 1 81 | 2 82 | 1 83 | 1 84 | 0 85 | 2 86 | 0 87 | 2 88 | 1 89 | 2 90 | 1 91 | 1 92 | 2 93 | 2 94 | 1 95 | 1 96 | 0 97 | 1 98 | 1 99 | 1 100 | 2 101 | 1 102 | 1 103 | 1 104 | 1 105 | 1 106 | 2 107 | 1 108 | 1 109 | 2 110 | 1 111 | 1 112 | 2 113 | 1 114 | 1 115 | 1 116 | 1 117 | 0 118 | 2 119 | 2 120 | 2 121 | 0 122 | 1 123 | 1 124 | 1 125 | 1 126 | 1 127 | 0 128 | 0 129 | 2 130 | 1 131 | 2 132 | 0 133 | 1 134 | 1 135 | 1 136 | 1 137 | 0 138 | 2 139 | 2 140 | 2 141 | 1 142 | 1 143 | 2 144 | 1 145 | 1 146 | 1 147 | 1 148 | 2 149 | 1 150 | 0 151 | 2 152 | 0 153 | 2 154 | 1 155 | 2 156 | 1 157 | 1 158 | 2 159 | 2 160 | 2 161 | 1 162 | 1 163 | 1 164 | 2 165 | 2 166 | 1 167 | 1 168 | 0 169 | 2 170 | 1 171 | 1 172 | 0 173 | 2 174 | 0 175 | 0 176 | 2 177 | 1 178 | 1 179 | 1 180 | 1 181 | 2 182 | 0 183 | 1 184 | 0 185 | 0 186 | 0 187 | 1 188 | 2 189 | 1 190 | 1 191 | 1 192 | 1 193 | 1 194 | 0 195 | 2 196 | 2 197 | 2 198 | 2 199 | 2 200 | 2 201 | 0 202 | 1 203 | 0 204 | 1 205 | 1 206 | 1 207 | 2 208 | 0 209 | 1 210 | 0 211 | 1 212 | 2 213 | 1 214 | 1 215 | 1 216 | 1 217 | 0 218 | 1 219 | 0 220 | 2 221 | 2 222 | 1 223 | 2 224 | 2 225 | 2 226 | 0 227 | 1 228 | 0 229 | 0 230 | 2 231 | 0 232 | 1 233 | 2 234 | 1 235 | 1 236 | 2 237 | 1 238 | 1 239 | 0 240 | 2 241 | 1 242 | 2 243 | 0 244 | 2 245 | 2 246 | 1 247 | 2 248 | 2 249 | 0 250 | 1 251 | 2 252 | 0 253 | 2 254 | 1 255 | 2 256 | 1 257 | 2 258 | 1 259 | 0 260 | 1 261 | 0 262 | 1 263 | 1 264 | 0 265 | 2 266 | 2 267 | 2 268 | 0 269 | 1 270 | 2 271 | 1 272 | 1 273 | 1 274 | 1 275 | 1 276 | 2 277 | 2 278 | 2 279 | 1 280 | 1 281 | 1 282 | 2 283 | 1 284 | 1 285 | 2 286 | 1 287 | 1 288 | 1 289 | 2 290 | 1 291 | 1 292 | 1 293 | 0 294 | 0 295 | 2 296 | 0 297 | 2 298 | 2 299 | 1 300 | 2 301 | 2 302 | 2 303 | 1 304 | 2 305 | 1 306 | 2 307 | 2 308 | 0 309 | 1 310 | 0 311 | 0 312 | 2 313 | 0 314 | 2 315 | 2 316 | 1 317 | 1 318 | 2 319 | 2 320 | 2 321 | 2 322 | 0 323 | 1 324 | 2 325 | 0 326 | 0 327 | 0 328 | 2 329 | 1 330 | 2 331 | 1 332 | 1 333 | 0 334 | 0 335 | 0 336 | 1 337 | 2 338 | 1 339 | 0 340 | 1 341 | 1 342 | 1 343 | 1 344 | 1 345 | 1 346 | 2 347 | 1 348 | 1 349 | 1 350 | 2 351 | 0 352 | 1 353 | 0 354 | 0 355 | 1 356 | 1 357 | 1 358 | 2 359 | 0 360 | 1 361 | 1 362 | 1 363 | 0 364 | 0 365 | 0 366 | 1 367 | 1 368 | 2 369 | 1 370 | 1 371 | 1 372 | 1 373 | 2 374 | 1 375 | 1 376 | 1 377 | 2 378 | 2 379 | 0 380 | 1 381 | 1 382 | 2 383 | 1 384 | 2 385 | 1 386 | 1 387 | 1 388 | 2 389 | 0 390 | 1 391 | 2 392 | 2 393 | 2 394 | 2 395 | 1 396 | 1 397 | 2 398 | 1 399 | 2 400 | 1 401 | 1 402 | 1 403 | 1 404 | 0 405 | 0 406 | 1 407 | 1 408 | 1 409 | 2 410 | 2 411 | 1 412 | 2 413 | 1 414 | 1 415 | 1 416 | 1 417 | 1 418 | 1 419 | 1 420 | 2 421 | 0 422 | 1 423 | 1 424 | 0 425 | 1 426 | 1 427 | 1 428 | 2 429 | 2 430 | 2 431 | 2 432 | 2 433 | 0 434 | 1 435 | 1 436 | 2 437 | 1 438 | 0 439 | 0 440 | 1 441 | 1 442 | 1 443 | 0 444 | 2 445 | 2 446 | 1 447 | 1 448 | 0 449 | 1 450 | 1 451 | 1 452 | 1 453 | 0 454 | 2 455 | 0 456 | 1 457 | 2 458 | 0 459 | 1 460 | 0 461 | 0 462 | 1 463 | 2 464 | 1 465 | 1 466 | 2 467 | 1 468 | 2 469 | 2 470 | 1 471 | 1 472 | 0 473 | 2 474 | 1 475 | 0 476 | 1 477 | 1 478 | 1 479 | 1 480 | 2 481 | 2 482 | 2 483 | 0 484 | 2 485 | 2 486 | 0 487 | 1 488 | 1 489 | 1 490 | 0 491 | 2 492 | 0 493 | 2 494 | 0 495 | 2 496 | 2 497 | 1 498 | 2 499 | 1 500 | 0 501 | 1 502 | 0 503 | 0 504 | 1 505 | 2 506 | 1 507 | 1 508 | 2 509 | 1 510 | 1 511 | 2 512 | 1 513 | 1 514 | 1 515 | 2 516 | 2 517 | 1 518 | 1 519 | 1 520 | 1 521 | 2 522 | 1 523 | 1 524 | 1 525 | 1 526 | 0 527 | 1 528 | 1 529 | 1 530 | 1 531 | 2 532 | 2 533 | 2 534 | 1 535 | 2 536 | 1 537 | 1 538 | 1 539 | 0 540 | 2 541 | 1 542 | 2 543 | 1 544 | 1 545 | 2 546 | 1 547 | 1 548 | 2 549 | 2 550 | 1 551 | 0 552 | 2 553 | 1 554 | 1 555 | 1 556 | 1 557 | 0 558 | 0 559 | 2 560 | 1 561 | 1 562 | 1 563 | 0 564 | 2 565 | 0 566 | 1 567 | 1 568 | 1 569 | 0 570 | 1 571 | 1 572 | 1 573 | 1 574 | 1 575 | 1 576 | 1 577 | 2 578 | 2 579 | 1 580 | 2 581 | 1 582 | 2 583 | 0 584 | 1 585 | 1 586 | 1 587 | 0 588 | 2 589 | 2 590 | 2 591 | 1 592 | 2 593 | 0 594 | 1 595 | 1 596 | 2 597 | 2 598 | -------------------------------------------------------------------------------- /datasets/stance/feminist/val_labels.txt: -------------------------------------------------------------------------------- 1 | 2 2 | 0 3 | 1 4 | 1 5 | 1 6 | 2 7 | 2 8 | 1 9 | 1 10 | 1 11 | 1 12 | 2 13 | 1 14 | 2 15 | 0 16 | 2 17 | 1 18 | 1 19 | 1 20 | 1 21 | 2 22 | 1 23 | 1 24 | 2 25 | 0 26 | 2 27 | 0 28 | 0 29 | 0 30 | 0 31 | 2 32 | 0 33 | 1 34 | 1 35 | 1 36 | 1 37 | 1 38 | 1 39 | 2 40 | 2 41 | 1 42 | 0 43 | 0 44 | 2 45 | 2 46 | 2 47 | 1 48 | 1 49 | 1 50 | 2 51 | 0 52 | 2 53 | 1 54 | 1 55 | 0 56 | 1 57 | 2 58 | 2 59 | 1 60 | 0 61 | 1 62 | 1 63 | 1 64 | 2 65 | 2 66 | 1 67 | 1 68 | -------------------------------------------------------------------------------- /datasets/stance/feminist/val_text.txt: -------------------------------------------------------------------------------- 1 | I take it personally when people call my dog a he. Toni is a girls name too #SemST 2 | Everfetching: i wanna chat with a feminist, or a feminazi at the the moment. just to hear sides ya know? #feminist #feminazi #SemST 3 | .@feminismvibes Men don't admit to being raped as readily as women do. So your question is feminist bullshit. #SemST 4 | U.S. putting a women on $10 bill instead of $20... anyone else think it's a BS compromise? #TheNew10 #WomenOn20s #Feminist #SemST 5 | With Hillary's lead over Sanders narrowing, how long before Bernie is accused of misogyny? #tcot #SemST 6 | wanted to pursue a career rather than settle down and start a family in my 20's. Even now, people still tell me time is ticking & #SemST 7 | @user it's not always the guys job. #equality #SemST 8 | .@brigadam @user Abortion is NOT suffering to women - why do you think it is? Do you hate abortion, feminist? #SemST 9 | I'm going to walk you thru this @user because I get feminists have NO idea what they are saying... @user #SemST 10 | The times in between my whiskey are my periods. #SemST 11 | @user It's not a conscious choice that's made. Betas make women feel unsafe, unprotected, right? #SpankAFeminist #SemST 12 | Contempo Qiwaamah:longer paid maternity leave,flexi working hours,on-site childcare,breastfeeding/breastpumping rooms,equal pay #SemST 13 | @user I don't need feminism because I am pretty #SemST 14 | @user i hate to break it to u bruh but women do get pretty for us. They get pretty to show other women #feminist #SemST 15 | When real life gets controversial, scroll social media faster. #BaltimoreRiots #NepalEarthquake #kyliejennerchallenge #SemST 16 | I need feminism because I can't walk three blocks without getting cat called and a man asking me to get in his car . #SemST 17 | @user @user you're incredibly bigoted. From rape to homosexuality. #mensrights #SemST 18 | Girls over 130 shouldn't wear a swim suit #womenintech #SemST 19 | the Left 10 years ago "Keep government out of our bedrooms" Today: "you must verbally consent to every step" "no drunk sex #SemST 20 | If the Olympics were 100% feminist, the men's division would be erradicated for "equality" #GamerGate #SemST 21 | links in sauga gotta stop chincing girls and taking away that extra bit #iknowyoudoit #equality #SemST 22 | When did people without taste buds decide to ban tasty food? Welcome to Sex-Negative Feminism #GamerGate #SemST 23 | Someone should do a #Meminist Frequency video response highlighting the violence against men portrayed in video games. #SemST 24 | Did you know? Gender stereotypes as we know then developed with beginning of the 18. century. #gender #SemST 25 | @user C) the hell was that video? D) the guy spelled "break" wrong. E) if Megalodon is alive maybe it's a she Brewer #SemST 26 | @user .@Rod_McCallum you are a dinosaur and a fool. Not rising to your antiquated rhetoric. Bye #SemST 27 | Can't win for trying on @user Either "trying too hard for help" or "only winning because of the guys." Seriously, F off. #SemST 28 | The length of time I take in the bath directly relates to what's happening on Twitter #MondayMotivation #Worlds2015 #SemST 29 | Communists can relate to how we feel. #communist #faith #karlmarx #SemST 30 | @user I'm never bored. Ppl who easily get bored - like you profess to be - are generally boring. It's a weak wimp-out. #SemST 31 | to the people (male and female- the females always upset me more) who told me I couldn't achieve or do what a boy/man can. #SemST 32 | Video games are a form of art. Censorship would be comparable to practices by fascist Germany during WWII. #GamerGate #SemST 33 | @user Not "if" - women do have equal rights & feminists have made women more equal than men. Go read "Animal Farm #SemST 34 | Most non-feminist ppl are "category-fluid". #Feminists, you'd best respect that! #antifeminism #misogyny #MGTOW #MRA #antiSJW #SemST 35 | Women get paid far more than men to appear in pornography. How come no one is talking about this blatant sexism?! @user #SemST 36 | If the sexes had equal intellectual abilities the collective inferiority complex of feminism would not be necessary. #SemST 37 | @user A bloke we both know, @user asked me to offer congrats for being clever; still seems stunned girls ARE. #SemST 38 | What!? Women take pictures of themselves naked or in sexy lingerie & text them? Fucking Patriarchy! #TweetLikeAFeminist #SJWLogic #SemST 39 | @user @user a right doesn't have to come from a law. They're called equal rights not equal laws #SemST 40 | My feminist heart is so angry right now, wish I could scream my hate for inequality right now. At the top of my lungs. #SemST 41 | #INeedMeninist because as a blk man white women make more than all minorities despite the lies of feminist. #SemST 42 | One gay one straight. one male One female. One friendship. #Equality #Friends #SemST 43 | @user SJWs prove that people are perfectly capable of acting against metaphysically given reality. #gamergate #SemST 44 | It upsets me how people are so narrow-minded when it comes to feminism. STEREOTYPING MEN IS NOT . #SemST 45 | How can I be a more feminist doctor? What issues do we get wrong as doctors? #HeForShe #Feminist #SemST 46 | @user has an article on women and politics in this months @user - it's a must read. #generalelection #politics #women #SemST 47 | How much radical feminist does there have to be before feminist start rethinking their position about feminism? #SemST 48 | Amusing how Feminists & Creationists swap their own personal "I don't like it" by "God/Women don't like it" #GamerGate #SemST 49 | If Feminism is not hypocritical fake "equality" then manure sprayed in pink is not fecal. #GamerGate #SemST 50 | Because women are seen as "soft," "weak," and "emotional" in the eyes of male politicians #SemST 51 | @user any chance @user will come to Nashville to discuss #Dietland. Couldn't put that deliciousness down! #plum #SemST 52 | Staying silent after being raped so as not to get charged with adultery is an expression of my #SemST 53 | Heads up, everyone in America benfits from #SemST 54 | The retarded tantrums of #GamerGate feminists show the effects of a lifetime of never facing intellectual challenge. #SemST 55 | @user is the poster child for why identity politics suck. #SemST 56 | Feminist extremists ruin it for everyone. Respect to feminist who actually want equality and not a handout. #SemST 57 | Like, feminism isn't just about 'gender' it's about so much more than that you ignorant toad. #SemST 58 | Women are strong, women are smart, women are bold. #FeministsAreBeautifulisalovemovement #SemST 59 | @user @user the library, quit attempting 2 hurt others just so they'll think the way u do #SemST 60 | Even if I didn't love @user music, I'd still be a fan. She's a brilliant young woman. #SemST 61 | _AnAvgJoe_: RT Ruth_Blane: BansalSatnam: RT Ruth_Blane: ReverseDowry: RT Ruth_Blane: manojmane: Take this !! #Feminazi #scrap498a... #SemST 62 | @user BUT SHE RUNS IN HIGH HEELS #SemST 63 | feminism appeared for ray rice domestic violence but disappear for hope sole's #doublestandards #SemST 64 | Let's fight for Women's Equality!! Read the blog below and join the cause for woman's rights and gender equality for all!! #SemST 65 | when they say men look at women like a piece of meat what do they even mean, they want to cook & eat her? #YesAllWomen #SemST 66 | @user @user @user You lunatics aren't fooling any1. Your skewed logic is only due 2 your delusions. #SemST 67 | God did not want you to have the same opportunity as men so are you saying God is wrong? #SemST 68 | -------------------------------------------------------------------------------- /datasets/stance/hillary/test_labels.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 1 3 | 1 4 | 1 5 | 1 6 | 1 7 | 1 8 | 1 9 | 1 10 | 1 11 | 1 12 | 1 13 | 1 14 | 1 15 | 1 16 | 1 17 | 1 18 | 1 19 | 1 20 | 1 21 | 1 22 | 1 23 | 1 24 | 1 25 | 1 26 | 1 27 | 1 28 | 1 29 | 1 30 | 1 31 | 1 32 | 1 33 | 1 34 | 1 35 | 1 36 | 1 37 | 1 38 | 1 39 | 0 40 | 1 41 | 1 42 | 1 43 | 1 44 | 1 45 | 1 46 | 1 47 | 0 48 | 0 49 | 1 50 | 0 51 | 1 52 | 0 53 | 1 54 | 0 55 | 0 56 | 1 57 | 1 58 | 1 59 | 0 60 | 0 61 | 1 62 | 0 63 | 0 64 | 1 65 | 0 66 | 0 67 | 0 68 | 1 69 | 2 70 | 0 71 | 0 72 | 0 73 | 2 74 | 0 75 | 0 76 | 0 77 | 0 78 | 0 79 | 2 80 | 1 81 | 0 82 | 2 83 | 0 84 | 0 85 | 2 86 | 2 87 | 2 88 | 0 89 | 2 90 | 1 91 | 0 92 | 2 93 | 0 94 | 1 95 | 0 96 | 2 97 | 2 98 | 1 99 | 2 100 | 2 101 | 1 102 | 2 103 | 2 104 | 0 105 | 0 106 | 0 107 | 1 108 | 2 109 | 0 110 | 2 111 | 1 112 | 0 113 | 0 114 | 1 115 | 2 116 | 1 117 | 2 118 | 1 119 | 1 120 | 1 121 | 2 122 | 1 123 | 1 124 | 1 125 | 1 126 | 0 127 | 1 128 | 2 129 | 0 130 | 2 131 | 1 132 | 2 133 | 1 134 | 1 135 | 0 136 | 2 137 | 0 138 | 0 139 | 0 140 | 1 141 | 0 142 | 1 143 | 1 144 | 1 145 | 2 146 | 1 147 | 2 148 | 1 149 | 0 150 | 1 151 | 1 152 | 0 153 | 1 154 | 0 155 | 0 156 | 1 157 | 2 158 | 0 159 | 1 160 | 1 161 | 0 162 | 1 163 | 2 164 | 1 165 | 2 166 | 1 167 | 0 168 | 2 169 | 2 170 | 1 171 | 1 172 | 1 173 | 0 174 | 0 175 | 1 176 | 1 177 | 1 178 | 0 179 | 1 180 | 1 181 | 1 182 | 0 183 | 0 184 | 0 185 | 1 186 | 0 187 | 1 188 | 1 189 | 1 190 | 1 191 | 1 192 | 2 193 | 2 194 | 1 195 | 1 196 | 1 197 | 0 198 | 2 199 | 0 200 | 1 201 | 0 202 | 1 203 | 1 204 | 1 205 | 1 206 | 0 207 | 1 208 | 0 209 | 1 210 | 1 211 | 1 212 | 1 213 | 1 214 | 0 215 | 0 216 | 2 217 | 0 218 | 1 219 | 1 220 | 0 221 | 1 222 | 1 223 | 2 224 | 1 225 | 1 226 | 2 227 | 2 228 | 1 229 | 1 230 | 2 231 | 0 232 | 1 233 | 1 234 | 1 235 | 1 236 | 1 237 | 1 238 | 1 239 | 1 240 | 1 241 | 1 242 | 1 243 | 1 244 | 1 245 | 1 246 | 1 247 | 1 248 | 2 249 | 1 250 | 1 251 | 1 252 | 1 253 | 1 254 | 1 255 | 1 256 | 1 257 | 1 258 | 1 259 | 2 260 | 1 261 | 1 262 | 2 263 | 1 264 | 1 265 | 1 266 | 1 267 | 1 268 | 1 269 | 1 270 | 0 271 | 0 272 | 0 273 | 0 274 | 1 275 | 1 276 | 0 277 | 1 278 | 0 279 | 2 280 | 1 281 | 1 282 | 0 283 | 1 284 | 0 285 | 1 286 | 1 287 | 1 288 | 0 289 | 0 290 | 1 291 | 2 292 | 0 293 | 2 294 | 1 295 | 0 296 | -------------------------------------------------------------------------------- /datasets/stance/hillary/train_labels.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 0 3 | 2 4 | 1 5 | 0 6 | 0 7 | 1 8 | 1 9 | 2 10 | 0 11 | 0 12 | 0 13 | 0 14 | 1 15 | 1 16 | 2 17 | 0 18 | 0 19 | 0 20 | 1 21 | 1 22 | 2 23 | 1 24 | 1 25 | 1 26 | 1 27 | 1 28 | 1 29 | 0 30 | 1 31 | 1 32 | 1 33 | 0 34 | 1 35 | 1 36 | 1 37 | 1 38 | 1 39 | 1 40 | 1 41 | 2 42 | 1 43 | 1 44 | 1 45 | 2 46 | 0 47 | 1 48 | 1 49 | 1 50 | 0 51 | 1 52 | 1 53 | 2 54 | 1 55 | 1 56 | 2 57 | 1 58 | 2 59 | 1 60 | 1 61 | 0 62 | 2 63 | 1 64 | 2 65 | 2 66 | 1 67 | 1 68 | 0 69 | 0 70 | 1 71 | 0 72 | 0 73 | 0 74 | 2 75 | 1 76 | 1 77 | 1 78 | 0 79 | 1 80 | 0 81 | 1 82 | 1 83 | 1 84 | 0 85 | 1 86 | 1 87 | 1 88 | 0 89 | 1 90 | 1 91 | 0 92 | 2 93 | 1 94 | 0 95 | 1 96 | 2 97 | 1 98 | 1 99 | 1 100 | 0 101 | 1 102 | 1 103 | 1 104 | 1 105 | 0 106 | 0 107 | 1 108 | 1 109 | 0 110 | 1 111 | 1 112 | 2 113 | 0 114 | 1 115 | 1 116 | 1 117 | 1 118 | 1 119 | 1 120 | 0 121 | 1 122 | 1 123 | 1 124 | 1 125 | 1 126 | 0 127 | 0 128 | 1 129 | 2 130 | 1 131 | 0 132 | 1 133 | 1 134 | 1 135 | 2 136 | 0 137 | 1 138 | 1 139 | 1 140 | 1 141 | 1 142 | 0 143 | 1 144 | 1 145 | 1 146 | 1 147 | 0 148 | 0 149 | 1 150 | 0 151 | 2 152 | 1 153 | 1 154 | 2 155 | 1 156 | 1 157 | 1 158 | 1 159 | 1 160 | 1 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411 | 0 412 | 1 413 | 2 414 | 1 415 | 1 416 | 0 417 | 1 418 | 0 419 | 1 420 | 0 421 | 1 422 | 2 423 | 1 424 | 1 425 | 0 426 | 2 427 | 1 428 | 1 429 | 0 430 | 0 431 | 1 432 | 0 433 | 1 434 | 2 435 | 1 436 | 0 437 | 2 438 | 1 439 | 1 440 | 1 441 | 1 442 | 1 443 | 1 444 | 2 445 | 1 446 | 0 447 | 0 448 | 1 449 | 1 450 | 1 451 | 1 452 | 2 453 | 0 454 | 0 455 | 0 456 | 0 457 | 1 458 | 1 459 | 1 460 | 1 461 | 1 462 | 1 463 | 0 464 | 2 465 | 2 466 | 1 467 | 0 468 | 1 469 | 1 470 | 1 471 | 1 472 | 0 473 | 1 474 | 1 475 | 1 476 | 1 477 | 2 478 | 1 479 | 2 480 | 1 481 | 1 482 | 1 483 | 1 484 | 1 485 | 0 486 | 1 487 | 0 488 | 2 489 | 0 490 | 1 491 | 1 492 | 2 493 | 0 494 | 1 495 | 1 496 | 0 497 | 0 498 | 1 499 | 2 500 | 0 501 | 0 502 | 0 503 | 1 504 | 0 505 | 1 506 | 0 507 | 1 508 | 0 509 | 2 510 | 1 511 | 0 512 | 2 513 | 2 514 | 0 515 | 1 516 | 2 517 | 1 518 | 1 519 | 1 520 | 2 521 | 2 522 | 1 523 | 2 524 | 1 525 | 1 526 | 2 527 | 2 528 | 0 529 | 0 530 | 1 531 | 1 532 | 2 533 | 1 534 | 2 535 | 0 536 | 1 537 | 1 538 | 0 539 | 2 540 | 1 541 | 0 542 | 0 543 | 2 544 | 1 545 | 1 546 | 0 547 | 1 548 | 1 549 | 1 550 | 1 551 | 0 552 | 1 553 | 1 554 | 1 555 | 1 556 | 0 557 | 0 558 | 0 559 | 1 560 | 1 561 | 1 562 | 1 563 | 1 564 | 1 565 | 0 566 | 2 567 | 0 568 | 0 569 | 1 570 | 1 571 | 1 572 | 0 573 | 2 574 | 0 575 | 1 576 | 0 577 | 2 578 | 1 579 | 1 580 | 0 581 | 1 582 | 1 583 | 1 584 | 0 585 | 0 586 | 1 587 | 1 588 | 1 589 | 0 590 | 2 591 | 1 592 | 1 593 | 1 594 | 1 595 | 1 596 | 1 597 | 1 598 | 2 599 | 1 600 | 1 601 | 2 602 | 1 603 | 2 604 | 1 605 | 1 606 | 1 607 | 2 608 | 1 609 | 1 610 | 1 611 | 0 612 | 0 613 | 1 614 | 0 615 | 1 616 | 0 617 | 0 618 | 0 619 | 0 620 | 2 621 | -------------------------------------------------------------------------------- /datasets/stance/hillary/val_labels.txt: -------------------------------------------------------------------------------- 1 | 2 2 | 1 3 | 1 4 | 1 5 | 1 6 | 1 7 | 2 8 | 1 9 | 0 10 | 0 11 | 1 12 | 1 13 | 1 14 | 1 15 | 0 16 | 1 17 | 1 18 | 2 19 | 1 20 | 2 21 | 1 22 | 2 23 | 0 24 | 0 25 | 1 26 | 2 27 | 1 28 | 1 29 | 0 30 | 1 31 | 1 32 | 2 33 | 0 34 | 0 35 | 0 36 | 1 37 | 1 38 | 1 39 | 0 40 | 1 41 | 1 42 | 1 43 | 1 44 | 2 45 | 1 46 | 2 47 | 1 48 | 1 49 | 2 50 | 2 51 | 0 52 | 0 53 | 1 54 | 0 55 | 1 56 | 1 57 | 0 58 | 1 59 | 0 60 | 0 61 | 0 62 | 1 63 | 1 64 | 1 65 | 1 66 | 1 67 | 2 68 | 0 69 | 1 70 | -------------------------------------------------------------------------------- /datasets/stance/hillary/val_text.txt: -------------------------------------------------------------------------------- 1 | Fabulous @user ! You hit on every subject and I am proud of you ending on a note of kindness. #HillaryInNH #SemST 2 | Make sure to make it to the Brew House in Pella, IA tomorrow @ 3 to meet with @user supporters! #SemST 3 | It's what's best for business and presidential seat for #HillaryClinton #SemST 4 | I suspect Hillary's Scooby Doo tour is being used as a distraction from ServerGate et al. #NoObamaThirdTerm #SemST 5 | @user @user 2 hours left, let's chip in $5, Nevada! #raisethenewPOTUS #SemST 6 | @user @user I choose "it takes a village! #SemST 7 | @user couldn't run his way out of a paper bag let alone beat #HillaryClinton. Go home Chris u r drunk. #ChrisChristie #SemST 8 | @user this is how GOP needs to be handling campaign not attacking each other but showing all hillary fails. #uniteright #SemST 9 | @user She didn't even answer with a complete sentence LOL. #Legend #SemST 10 | .@EthanObama I know - it's just going to be a long year! #SemST 11 | @user @user @user How could anyone vote for that woman? #SemST 12 | @user @user By that time the guy with #Benghazi sign will be arrested. #SemST 13 | Lets take back our country! Whos with me? No more Democrats!2016 14 | @user @user awesome every true chef needs this.. Go Hillary #SemST 15 | If I get killed. Thank @user . I was tweeting mad crap about him. I don't take it back. #SemST 16 | @user @user bur #Hlllary just raised 45 million! #SemST 17 | #HillarysAccomplishments Being a total clusterfuck at anything she does. #ReadyForHillary #UniteBlue #TopProg #TPOT #LibCrib #SemST 18 | @user Yes! I am chipping in 5$ because we have faith in you. #SemST 19 | Also the $400,000 "speaking fees" #Hillary took from Goldman Sachs for two "speeches." @user #SemST 20 | @user @user @user @user @user @user The whole #world is supporting you. #SemST 21 | Hillary claims to be a "champion" of the middle class, but @user tax plan cuts the FICA tax, benefiting the middle class. #SemST 22 | Laughing at the Republican Party. The BEST they can offer is #DonaldTrump and #JebBush? #HillaryClinton has got this! #SemST 23 | @user oh I know he won't he effed himself over in the beginning #SemST 24 | Whatever is the GOP going to do now with both marriage equality and the ACA? Going to be fun to watch! #SemST 25 | @user Hillary's nose from lying is now bigger than Bill's cigars. #SemST 26 | @user @user #freedom_justice_equality_education for innovation and development to make #happy_life i Utopia 27 | Chris Christie for President? HAHAHAHAHA! I don't think so! @user #Clinton #Hilary #SemST 28 | Hillary doesn't want to put anyone in prison anymore. Obviously worried about her own future. 29 | I called everyone I knew and raised $17,000 from ex-boyfriends - Sen. Klobuchar #SemST 30 | @user Where are the #LGBT pride condoms #BillClinton used when he assaulted #MonicaLewinsky? #HillaryClinton #tlot #SemST 31 | Hillary Clinton has not driven a car since 1996. #clintonfakerealityshow 32 | Headed to Chester, SC for a big hillary canvass! Join me. Wylie park 11-3 #SemST 33 | @user this will cost them the 2016 election. #SemST 34 | Probably not perfect for everyone--which I think is great. But this is the beginning of a conversation. 35 | Hey #TexasState #Bobcats I hope y'all are ready for #MarcoRubio #2016 #TexasStateUniversity #NewAmericanCentury #Texas #TCOT #SemST 36 | BIG BOOTY BITCHES BIG BIG BOOTY BITCHES #SemST 37 | Everything abt @user is BOGUS. Her issues, her history, her #Iowa trip, her #Twitter followers, her campaigning #SemST 38 | Republican donors have numerous candidates to put their money on. Dems basically have one. We're gonna get killed financially. #SemST 39 | @user though. But there are people saying they just aren't going to vote at all which is ridiculous so #SemST 40 | The guy in the multicolored shirt looks chi as fuck. #SemST 41 | So glad @user has announced his candidacy - fits right in with all the other "qualifies" republicans on the list. #SemST 42 | @user One thing that's painful is the mindless minutiae her strap hanging cling-ons force her to endure. #huma #SemST 43 | Take it easy Ed, #BernieSanders is a side show. Democrats are having some fun before getting back to reality in Nov 2016. #SemST 44 | Gay Rights are Human Rights, and Human Rights are #GayRights - @user #HillaryForAmerica #SemST 45 | @user @user "@HillaryClinton can't even manage @user & she wants to be @user #WakeUpAmerica #StopHillary2016 #SemST 46 | @user @user @user So proud of you! Soon, we will show who we really are. Keep up the good work! #SemST 47 | It's more than mistakes...with #HillaryClinton lying and cover-ups are a way of life. @user @user #tcot #uniteblue #SemST 48 | So you're used to the @user calling for your approval before running a story @user #LikeHillary #HillaryEmails #SemST 49 | Republican candidates continuing to spread hatred and alienating the voters. Hillary wins! #LoveWins #MikeHuckabee #Rubio2016 #SemST 50 | RT @user "It's official: Hillary's running for president," says her campaign chief. Excellent! #SemST 51 | THEYRE NOT "THUGS" YOU #TEAPARTY RACISTS THEY ARE "COMMUNITY REORGANIZERS" !! #TCOT #baltimoreriots #SemST 52 | @user @user @user @user In this context, to all practical extents and purposes? It means #SemST 53 | Who's monica Lewinsky's favorite football player? Ha-Ha Clinton Dix #SemST 54 | @user I'm confident that will piss off a few white Anglo-Saxon Protestants! Keep talking Jeb. #SemST 55 | @user #CommonCore , another brilliant idea supported by a #bush. #nomorebushes #SemST 56 | take faith that almost every political entity around you, whether dissident or not, serves no good purpose #Dempublicans #SemST 57 | @user Thank you 4the follow. God bless you and those you love! God bless America, may she always be the land of the free! #SemST 58 | so @user met @user . there aren't enough words to describe my envy haha #SemST 59 | @user WHY IS IT THAT YOUR CLOTHING LINE IS MADE IN CHINA? Can U say Lier pants on fire? #morningjoe #unitedblue #SemST 60 | Great convo last night w/ @user & @user Great connections in #Waverly & on my #turf! #FellowsIA #CommitToCaucus #SemST 61 | March 8, 2016 Ohio is holding our Primaries! The date is subject to change. #Ohio #OurChampion 62 | RT @user @user Republicans everywhere are looking for someone to lead. A leader not a liar. #SemST 63 | Just ordered my Chillary Clinton Koozies. Gotta support the team. #SemST 64 | What are you afraid of @user If you can't answer questions from the press, why do we want you as POTUS 65 | HillaryClinton Next up for legalization: Your pet goat, or your #pedophile neighbor 'dating' the 9 year old next door.. #SemST 66 | You can't grow an economy from the bottom up. If she gets in, we're ALL in trouble #SemST 67 | Too many women in too many countries speak the same language of silence. HILLARY CLINTON #HillaryCliton #Hillary4Women #SemST 68 | In case of Emergency, Push THIS BUTTON to scrub server..... #SemST 69 | @user There she is pant suite Hillary to hide those thighs #HillarysDonors #HillarysBigAnnouncement #Benghazi #Obama #SemST 70 | -------------------------------------------------------------------------------- /datasets/stance/mapping.txt: -------------------------------------------------------------------------------- 1 | 0 none 2 | 1 against 3 | 2 favor -------------------------------------------------------------------------------- /evaluation_script.py: -------------------------------------------------------------------------------- 1 | # usage: evaluaton_script.py [-h] [--tweeteval_path TWEETEVAL_PATH] 2 | # [--predictions_path PREDICTIONS_PATH] [--task TASK] 3 | 4 | # optional arguments: 5 | # -h, --help: show this help message and exit 6 | # --tweeteval_path: Path to TweetEval dataset 7 | # --predictions_path: Path to predictions files 8 | # --task: Use this to get single task detailed results 9 | # (emoji|emotion|hate|irony|offensive|sentiment|stance) 10 | # 11 | 12 | from sklearn.metrics import classification_report 13 | import argparse 14 | import os 15 | 16 | TASKS = [ 17 | 'emoji', 18 | 'emotion', 19 | 'hate', 20 | 'irony', 21 | 'offensive', 22 | 'sentiment', 23 | 'stance'] 24 | 25 | STANCE_TASKS = [ 26 | 'abortion', 27 | 'atheism', 28 | 'climate', 29 | 'feminist', 30 | 'hillary'] 31 | 32 | def load_gold_pred(args): 33 | tweeteval_path = args.tweeteval_path 34 | predictions_path = args.predictions_path 35 | task = args.task 36 | 37 | if 'stance' in task: 38 | gold = [] 39 | pred = [] 40 | for stance_t in STANCE_TASKS: 41 | gold_path = os.path.join(tweeteval_path,task,stance_t,'test_labels.txt') 42 | pred_path = os.path.join(predictions_path,task,stance_t+'.txt') 43 | gold.append(open(gold_path).read().split("\n")[:-1]) 44 | pred.append(open(pred_path).read().split("\n")[:-1]) 45 | # flatten lists of lists 46 | gold = [p for each_target in gold for p in each_target] 47 | pred = [p for each_target in pred for p in each_target] 48 | else: 49 | gold_path = os.path.join(tweeteval_path,task,'test_labels.txt') 50 | pred_path = os.path.join(predictions_path,task+'.txt') 51 | gold = open(gold_path).read().split("\n")[:-1] 52 | pred = open(pred_path).read().split("\n")[:-1] 53 | 54 | return gold, pred 55 | 56 | def single_task_results(args): 57 | task = args.task 58 | tweeteval_result = -1 59 | results = {} 60 | 61 | try: 62 | gold, pred = load_gold_pred(args) 63 | results = classification_report(gold, pred, output_dict=True) 64 | 65 | # Emoji (Macro f1) 66 | if 'emoji' in task: 67 | tweeteval_result = results['macro avg']['f1-score'] 68 | 69 | # Emotion (Macro f1) 70 | elif 'emotion' in task: 71 | tweeteval_result = results['macro avg']['f1-score'] 72 | 73 | # Hate (Macro f1) 74 | elif 'hate' in task: 75 | tweeteval_result = results['macro avg']['f1-score'] 76 | 77 | # Irony (Irony class f1) 78 | elif 'irony' in task: 79 | tweeteval_result = results['1']['f1-score'] 80 | 81 | # Offensive (Macro f1) 82 | elif 'offensive' in task: 83 | tweeteval_result = results['macro avg']['f1-score'] 84 | 85 | # Sentiment (Macro Recall) 86 | elif 'sentiment' in task: 87 | tweeteval_result = results['macro avg']['recall'] 88 | 89 | # Stance (Macro F1 of 'favor' and 'against' classes) 90 | elif 'stance' in task: 91 | f1_against = results['1']['f1-score'] 92 | f1_favor = results['2']['f1-score'] 93 | tweeteval_result = (f1_against+f1_favor) / 2 94 | 95 | except Exception as ex: 96 | print(f"Issues with task {task}: {ex}") 97 | 98 | return tweeteval_result, results 99 | 100 | def is_all_good(all_tweeteval_results): 101 | return all([r != -1 for r in all_tweeteval_results.values()]) 102 | 103 | 104 | if __name__=="__main__": 105 | 106 | parser = argparse.ArgumentParser(description='TweetEval evaluation script.') 107 | 108 | parser.add_argument('--tweeteval_path', default="./datasets/", type=str, help='Path to TweetEval datasets') 109 | parser.add_argument('--predictions_path', default="./predictions/", type=str, help='Path to predictions files') 110 | parser.add_argument('--task', default="", type=str, help='Indicate this parameter to get single task detailed results') 111 | 112 | args = parser.parse_args() 113 | 114 | if args.task == "": 115 | all_tweeteval_results = {} 116 | 117 | # Results for each task 118 | for t in TASKS: 119 | args.task = t 120 | all_tweeteval_results[t], _ = single_task_results(args) 121 | 122 | # Print results (score=-1 if some results are missing) 123 | print(f"{'-'*30}") 124 | if is_all_good(all_tweeteval_results): 125 | tweeteval_final_score = sum(all_tweeteval_results.values())/len(all_tweeteval_results.values()) 126 | else: 127 | tweeteval_final_score = -1 128 | for t in TASKS: 129 | # Each score 130 | print(f"{t}: {all_tweeteval_results[t]}") 131 | # Final score 132 | print(f"{'-'*30}\nTweetEval Score: {tweeteval_final_score}") 133 | 134 | else: 135 | # Detailed results of one single task (--task parameter) 136 | tweeteval_resut, results = single_task_results(args) 137 | for k in results: 138 | print(k, results[k]) 139 | print(f"{'-'*30}\nTweetEval Score ({args.task}): {tweeteval_resut}") 140 | 141 | -------------------------------------------------------------------------------- /predictions/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/cardiffnlp/tweeteval/4fbd22cd78421f05b1ecdb4fc5725bc7a7bd8f66/predictions/.DS_Store -------------------------------------------------------------------------------- /predictions/emotion.txt: -------------------------------------------------------------------------------- 1 | 3 2 | 2 3 | 3 4 | 1 5 | 1 6 | 0 7 | 3 8 | 3 9 | 1 10 | 0 11 | 0 12 | 3 13 | 3 14 | 0 15 | 0 16 | 3 17 | 1 18 | 3 19 | 0 20 | 0 21 | 0 22 | 3 23 | 3 24 | 0 25 | 2 26 | 1 27 | 3 28 | 0 29 | 3 30 | 1 31 | 3 32 | 1 33 | 0 34 | 0 35 | 0 36 | 0 37 | 2 38 | 3 39 | 0 40 | 1 41 | 0 42 | 0 43 | 3 44 | 1 45 | 3 46 | 0 47 | 0 48 | 1 49 | 1 50 | 1 51 | 3 52 | 3 53 | 1 54 | 3 55 | 2 56 | 0 57 | 3 58 | 3 59 | 2 60 | 0 61 | 0 62 | 1 63 | 0 64 | 0 65 | 0 66 | 0 67 | 1 68 | 0 69 | 0 70 | 0 71 | 0 72 | 3 73 | 0 74 | 0 75 | 0 76 | 0 77 | 3 78 | 2 79 | 2 80 | 1 81 | 0 82 | 0 83 | 1 84 | 3 85 | 0 86 | 0 87 | 0 88 | 1 89 | 1 90 | 3 91 | 3 92 | 1 93 | 3 94 | 0 95 | 0 96 | 1 97 | 1 98 | 3 99 | 0 100 | 0 101 | 0 102 | 1 103 | 1 104 | 1 105 | 0 106 | 1 107 | 0 108 | 2 109 | 1 110 | 0 111 | 2 112 | 0 113 | 0 114 | 0 115 | 3 116 | 1 117 | 3 118 | 3 119 | 0 120 | 2 121 | 3 122 | 0 123 | 3 124 | 0 125 | 0 126 | 3 127 | 0 128 | 0 129 | 0 130 | 3 131 | 1 132 | 0 133 | 0 134 | 1 135 | 1 136 | 1 137 | 0 138 | 3 139 | 3 140 | 3 141 | 3 142 | 0 143 | 0 144 | 0 145 | 3 146 | 1 147 | 0 148 | 0 149 | 3 150 | 3 151 | 2 152 | 0 153 | 0 154 | 3 155 | 2 156 | 0 157 | 3 158 | 1 159 | 3 160 | 0 161 | 2 162 | 0 163 | 2 164 | 1 165 | 1 166 | 1 167 | 0 168 | 3 169 | 0 170 | 1 171 | 0 172 | 0 173 | 1 174 | 1 175 | 2 176 | 0 177 | 0 178 | 0 179 | 1 180 | 1 181 | 1 182 | 0 183 | 0 184 | 3 185 | 3 186 | 0 187 | 0 188 | 0 189 | 3 190 | 1 191 | 0 192 | 0 193 | 2 194 | 3 195 | 0 196 | 1 197 | 1 198 | 0 199 | 0 200 | 3 201 | 2 202 | 1 203 | 0 204 | 0 205 | 1 206 | 1 207 | 0 208 | 0 209 | 1 210 | 3 211 | 1 212 | 3 213 | 2 214 | 3 215 | 1 216 | 3 217 | 0 218 | 0 219 | 3 220 | 0 221 | 2 222 | 3 223 | 3 224 | 3 225 | 3 226 | 0 227 | 2 228 | 3 229 | 0 230 | 0 231 | 0 232 | 1 233 | 0 234 | 0 235 | 0 236 | 0 237 | 0 238 | 3 239 | 0 240 | 1 241 | 1 242 | 3 243 | 3 244 | 2 245 | 1 246 | 3 247 | 3 248 | 3 249 | 3 250 | 1 251 | 1 252 | 3 253 | 0 254 | 0 255 | 3 256 | 0 257 | 1 258 | 1 259 | 0 260 | 0 261 | 0 262 | 1 263 | 0 264 | 1 265 | 0 266 | 2 267 | 0 268 | 3 269 | 1 270 | 0 271 | 3 272 | 0 273 | 0 274 | 3 275 | 3 276 | 3 277 | 0 278 | 3 279 | 3 280 | 3 281 | 3 282 | 0 283 | 0 284 | 2 285 | 1 286 | 0 287 | 0 288 | 0 289 | 1 290 | 0 291 | 0 292 | 0 293 | 0 294 | 3 295 | 2 296 | 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| 0 768 | 1 769 | 1 770 | 1 771 | 0 772 | 0 773 | 0 774 | 1 775 | 0 776 | 1 777 | 0 778 | 1 779 | 0 780 | 0 781 | 1 782 | 0 783 | 0 784 | 0 785 | 0 786 | 0 787 | 0 788 | 0 789 | 1 790 | 0 791 | 0 792 | 0 793 | 0 794 | 0 795 | 0 796 | 1 797 | 1 798 | 0 799 | 0 800 | 0 801 | 1 802 | 1 803 | 0 804 | 0 805 | 0 806 | 1 807 | 0 808 | 0 809 | 0 810 | 0 811 | 0 812 | 1 813 | 0 814 | 0 815 | 0 816 | 0 817 | 0 818 | 0 819 | 0 820 | 0 821 | 0 822 | 0 823 | 0 824 | 1 825 | 0 826 | 0 827 | 0 828 | 0 829 | 0 830 | 0 831 | 1 832 | 0 833 | 0 834 | 0 835 | 0 836 | 0 837 | 0 838 | 0 839 | 0 840 | 0 841 | 0 842 | 0 843 | 0 844 | 0 845 | 0 846 | 0 847 | 0 848 | 1 849 | 0 850 | 0 851 | 1 852 | 0 853 | 0 854 | 0 855 | 0 856 | 0 857 | 0 858 | 0 859 | 0 860 | 0 861 | -------------------------------------------------------------------------------- /predictions/stance/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/cardiffnlp/tweeteval/4fbd22cd78421f05b1ecdb4fc5725bc7a7bd8f66/predictions/stance/.DS_Store -------------------------------------------------------------------------------- /predictions/stance/abortion.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 1 3 | 1 4 | 0 5 | 1 6 | 2 7 | 2 8 | 0 9 | 0 10 | 1 11 | 0 12 | 2 13 | 0 14 | 2 15 | 2 16 | 0 17 | 0 18 | 1 19 | 2 20 | 1 21 | 1 22 | 1 23 | 1 24 | 2 25 | 0 26 | 2 27 | 2 28 | 0 29 | 1 30 | 1 31 | 0 32 | 0 33 | 1 34 | 2 35 | 1 36 | 1 37 | 2 38 | 1 39 | 1 40 | 1 41 | 1 42 | 1 43 | 2 44 | 1 45 | 0 46 | 2 47 | 1 48 | 0 49 | 0 50 | 1 51 | 0 52 | 0 53 | 2 54 | 0 55 | 2 56 | 1 57 | 1 58 | 1 59 | 1 60 | 1 61 | 0 62 | 1 63 | 1 64 | 1 65 | 1 66 | 1 67 | 0 68 | 1 69 | 0 70 | 1 71 | 2 72 | 1 73 | 1 74 | 1 75 | 1 76 | 1 77 | 1 78 | 2 79 | 2 80 | 1 81 | 0 82 | 0 83 | 0 84 | 1 85 | 1 86 | 1 87 | 1 88 | 1 89 | 0 90 | 0 91 | 1 92 | 1 93 | 0 94 | 1 95 | 1 96 | 2 97 | 1 98 | 0 99 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| 1 225 | 1 226 | 0 227 | 1 228 | 1 229 | 1 230 | 1 231 | 1 232 | 1 233 | 1 234 | 1 235 | 0 236 | 1 237 | 0 238 | 1 239 | 0 240 | 0 241 | 1 242 | 2 243 | 0 244 | 1 245 | 1 246 | 1 247 | 1 248 | 1 249 | 2 250 | 0 251 | 2 252 | 2 253 | 1 254 | 1 255 | 1 256 | 1 257 | 1 258 | 0 259 | 2 260 | 1 261 | 2 262 | 1 263 | 0 264 | 0 265 | 2 266 | 2 267 | 1 268 | 0 269 | 2 270 | 1 271 | 2 272 | 0 273 | 0 274 | 1 275 | 1 276 | 0 277 | 1 278 | 1 279 | 0 280 | 1 281 | -------------------------------------------------------------------------------- /predictions/stance/atheism.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 1 3 | 1 4 | 1 5 | 1 6 | 0 7 | 2 8 | 1 9 | 0 10 | 1 11 | 0 12 | 0 13 | 1 14 | 2 15 | 2 16 | 1 17 | 1 18 | 1 19 | 1 20 | 1 21 | 1 22 | 0 23 | 1 24 | 0 25 | 1 26 | 1 27 | 1 28 | 1 29 | 2 30 | 1 31 | 1 32 | 1 33 | 1 34 | 1 35 | 2 36 | 2 37 | 2 38 | 1 39 | 1 40 | 1 41 | 1 42 | 0 43 | 2 44 | 1 45 | 1 46 | 0 47 | 0 48 | 1 49 | 2 50 | 1 51 | 2 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183 | 1 184 | 1 185 | 1 186 | 1 187 | 1 188 | 1 189 | 1 190 | 0 191 | 1 192 | 1 193 | 1 194 | 1 195 | 1 196 | 1 197 | 2 198 | 1 199 | 2 200 | 1 201 | 2 202 | 1 203 | 2 204 | 1 205 | 1 206 | 1 207 | 0 208 | 1 209 | 1 210 | 0 211 | 1 212 | 1 213 | 1 214 | 0 215 | 1 216 | 1 217 | 2 218 | 1 219 | 2 220 | 1 221 | -------------------------------------------------------------------------------- /predictions/stance/climate.txt: -------------------------------------------------------------------------------- 1 | 0 2 | 2 3 | 2 4 | 0 5 | 2 6 | 2 7 | 2 8 | 2 9 | 0 10 | 2 11 | 2 12 | 0 13 | 2 14 | 2 15 | 0 16 | 2 17 | 2 18 | 2 19 | 2 20 | 2 21 | 2 22 | 2 23 | 2 24 | 2 25 | 2 26 | 2 27 | 2 28 | 2 29 | 2 30 | 2 31 | 2 32 | 0 33 | 2 34 | 2 35 | 2 36 | 2 37 | 2 38 | 0 39 | 0 40 | 2 41 | 2 42 | 2 43 | 0 44 | 0 45 | 2 46 | 2 47 | 2 48 | 2 49 | 2 50 | 2 51 | 0 52 | 0 53 | 2 54 | 2 55 | 2 56 | 0 57 | 2 58 | 2 59 | 0 60 | 2 61 | 2 62 | 2 63 | 2 64 | 2 65 | 2 66 | 2 67 | 2 68 | 2 69 | 2 70 | 2 71 | 0 72 | 2 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| 2 10 | 2 11 | 2 12 | 0 13 | 0 14 | 1 15 | 1 16 | 2 17 | 1 18 | 2 19 | 1 20 | 2 21 | 1 22 | 1 23 | 2 24 | 0 25 | 1 26 | 2 27 | 2 28 | 2 29 | 1 30 | 0 31 | 2 32 | 0 33 | 2 34 | 1 35 | 2 36 | 1 37 | 1 38 | 0 39 | 0 40 | 1 41 | 1 42 | 1 43 | 0 44 | 0 45 | 1 46 | 2 47 | 1 48 | 1 49 | 1 50 | 0 51 | 0 52 | 2 53 | 2 54 | 1 55 | 2 56 | 0 57 | 2 58 | 1 59 | 2 60 | 0 61 | 2 62 | 2 63 | 2 64 | 0 65 | 2 66 | 0 67 | 1 68 | 1 69 | 1 70 | 1 71 | 1 72 | 1 73 | 1 74 | 2 75 | 2 76 | 1 77 | 2 78 | 0 79 | 1 80 | 1 81 | 2 82 | 0 83 | 2 84 | 2 85 | 1 86 | 2 87 | 0 88 | 1 89 | 0 90 | 1 91 | 2 92 | 0 93 | 1 94 | 0 95 | 0 96 | 1 97 | 1 98 | 2 99 | 0 100 | 1 101 | 0 102 | 1 103 | 2 104 | 1 105 | 1 106 | 0 107 | 2 108 | 0 109 | 2 110 | 1 111 | 2 112 | 2 113 | 2 114 | 2 115 | 2 116 | 1 117 | 1 118 | 2 119 | 0 120 | 2 121 | 2 122 | 0 123 | 1 124 | 1 125 | 0 126 | 1 127 | 2 128 | 1 129 | 1 130 | 1 131 | 1 132 | 0 133 | 1 134 | 2 135 | 0 136 | 2 137 | 0 138 | 1 139 | 1 140 | 2 141 | 0 142 | 2 143 | 0 144 | 2 145 | 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1 271 | 1 272 | 0 273 | 2 274 | 2 275 | 0 276 | 1 277 | 0 278 | 2 279 | 1 280 | 2 281 | 0 282 | 1 283 | 1 284 | 2 285 | 1 286 | -------------------------------------------------------------------------------- /predictions/stance/hillary.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 0 3 | 0 4 | 1 5 | 1 6 | 1 7 | 1 8 | 1 9 | 1 10 | 1 11 | 1 12 | 2 13 | 1 14 | 0 15 | 1 16 | 1 17 | 1 18 | 0 19 | 1 20 | 1 21 | 1 22 | 1 23 | 0 24 | 1 25 | 1 26 | 2 27 | 1 28 | 0 29 | 1 30 | 2 31 | 2 32 | 2 33 | 1 34 | 1 35 | 1 36 | 1 37 | 1 38 | 1 39 | 1 40 | 1 41 | 1 42 | 1 43 | 1 44 | 1 45 | 1 46 | 1 47 | 0 48 | 1 49 | 2 50 | 0 51 | 1 52 | 1 53 | 1 54 | 0 55 | 2 56 | 1 57 | 1 58 | 1 59 | 1 60 | 1 61 | 1 62 | 0 63 | 0 64 | 1 65 | 1 66 | 1 67 | 1 68 | 1 69 | 1 70 | 0 71 | 0 72 | 0 73 | 1 74 | 0 75 | 0 76 | 1 77 | 1 78 | 2 79 | 1 80 | 1 81 | 0 82 | 2 83 | 0 84 | 0 85 | 0 86 | 2 87 | 1 88 | 1 89 | 1 90 | 1 91 | 0 92 | 2 93 | 1 94 | 1 95 | 1 96 | 2 97 | 0 98 | 1 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