├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE
├── NOTICE
├── README.md
├── audio
├── audio-classification-multiselect.liquid.html
├── audio-classification.liquid.html
├── audio-naturalness.liquid.html
├── audio-transcription.liquid.html
├── emotion-detection-audio.liquid.html
├── intent-detection-audio.liquid.html
├── language-detection-audio.liquid.html
└── sentiment-analysis-audio.liquid.html
├── images
├── bounding-box-custom-labels.liquid.html
├── bounding-box-hierarchical.liquid.html
├── bounding-box.liquid.html
├── emotion-detection-image.liquid.html
├── image-classification-multiselect-and-zoomable-image.liquid.html
├── image-classification-multiselect.liquid.html
├── image-classification-with-dropdown-select.liquid.html
├── image-classification.liquid.html
├── image-contains.liquid.html
├── image-moderation.liquid.html
├── image-similarity.liquid.html
├── image-summarization.liquid.html
├── image-tagging-with-basic-layout.liquid.html
├── image-tagging.liquid.html
├── instance-segmentation-custom-values.liquid.html
├── instance-segmentation.liquid.html
├── keypoint-additional-answer-validation.liquid.html
├── keypoint-custom-labels.liquid.html
├── keypoint.liquid.html
├── line.liquid.html
├── multi-image-classification-draggable.liquid.html
├── ocr.liquid.html
├── person-recognition-image.liquid.html
├── polygon.liquid.html
├── polyline.liquid.html
├── rekognition_detect_moderation.liquid.html
├── semantic-segmentation-bounding-box-validation.liquid.html
├── semantic-segmentation-custom-labels.liquid.html
└── semantic-segmentation.liquid.html
├── other
├── blank.liquid.html
├── custom-instructions-width.liquid.html
├── item-equality.liquid.html
├── receipt-transcription.liquid.html
├── search-relevance.liquid.html
├── side-by-side-comparison.liquid.html
├── survey-link.liquid.html
├── website-classification.liquid.html
└── website-collection.liquid.html
├── text
├── collect-utterance.liquid.html
├── conversation-relevance.liquid.html
├── document-classification.liquid.html
├── emotion-detection-tweet.liquid.html
├── emotion-detection.liquid.html
├── fill-in-the-blank.liquid.html
├── fill-out-the-sentence.liquid.html
├── intent-detection.liquid.html
├── key-phrase-extraction.html
├── named-entity-recognition-with-additional-classification.liquid.html
├── named-entity-recognition.liquid.html
├── part-of-speech-tagging.html
├── predict-next-word.liquid.html
├── same-speaker-evaluation.liquid.html
├── semantic-similarity.liquid.html
├── sentiment-analysis-multiple-documents.liquid.html
├── sentiment-analysis-tweet.liquid.html
├── sentiment-analysis.liquid.html
├── text-classification-multiselect.liquid.html
├── text-classification.liquid.html
├── textract_analyze_document.liquid.html
├── translation-quality.liquid.html
└── translation-review-and-correction.liquid.html
└── video
├── emotion-detection-video.liquid.html
├── video-classification-direct.liquid.html
├── video-classification-multiselect-direct.liquid.html
└── video-classification-youtube.liquid.html
/CODE_OF_CONDUCT.md:
--------------------------------------------------------------------------------
1 | ## Code of Conduct
2 | This project has adopted the [Amazon Open Source Code of Conduct](https://aws.github.io/code-of-conduct).
3 | For more information see the [Code of Conduct FAQ](https://aws.github.io/code-of-conduct-faq) or contact
4 | opensource-codeofconduct@amazon.com with any additional questions or comments.
5 |
--------------------------------------------------------------------------------
/CONTRIBUTING.md:
--------------------------------------------------------------------------------
1 | # Contributing Guidelines
2 |
3 | Thank you for your interest in contributing to our project. Whether it's a bug report, new feature, correction, or additional
4 | documentation, we greatly value feedback and contributions from our community.
5 |
6 | Please read through this document before submitting any issues or pull requests to ensure we have all the necessary
7 | information to effectively respond to your bug report or contribution.
8 |
9 |
10 | ## Reporting Bugs/Feature Requests
11 |
12 | We welcome you to use the GitHub issue tracker to report bugs or suggest features.
13 |
14 | When filing an issue, please check existing open, or recently closed, issues to make sure somebody else hasn't already
15 | reported the issue. Please try to include as much information as you can. Details like these are incredibly useful:
16 |
17 | * A reproducible test case or series of steps
18 | * The version of our code being used
19 | * Any modifications you've made relevant to the bug
20 | * Anything unusual about your environment or deployment
21 |
22 |
23 | ## Contributing via Pull Requests
24 | Contributions via pull requests are much appreciated. Before sending us a pull request, please ensure that:
25 |
26 | 1. You are working against the latest source on the *master* branch.
27 | 2. You check existing open, and recently merged, pull requests to make sure someone else hasn't addressed the problem already.
28 | 3. You open an issue to discuss any significant work - we would hate for your time to be wasted.
29 |
30 | To send us a pull request, please:
31 |
32 | 1. Fork the repository.
33 | 2. Modify the source; please focus on the specific change you are contributing. If you also reformat all the code, it will be hard for us to focus on your change.
34 | 3. Ensure local tests pass.
35 | 4. Commit to your fork using clear commit messages.
36 | 5. Send us a pull request, answering any default questions in the pull request interface.
37 | 6. Pay attention to any automated CI failures reported in the pull request, and stay involved in the conversation.
38 |
39 | GitHub provides additional document on [forking a repository](https://help.github.com/articles/fork-a-repo/) and
40 | [creating a pull request](https://help.github.com/articles/creating-a-pull-request/).
41 |
42 |
43 | ## Finding contributions to work on
44 | Looking at the existing issues is a great way to find something to contribute on. As our projects, by default, use the default GitHub issue labels (enhancement/bug/duplicate/help wanted/invalid/question/wontfix), looking at any 'help wanted' issues is a great place to start.
45 |
46 |
47 | ## Code of Conduct
48 | This project has adopted the [Amazon Open Source Code of Conduct](https://aws.github.io/code-of-conduct).
49 | For more information see the [Code of Conduct FAQ](https://aws.github.io/code-of-conduct-faq) or contact
50 | opensource-codeofconduct@amazon.com with any additional questions or comments.
51 |
52 |
53 | ## Security issue notifications
54 | If you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our [vulnerability reporting page](http://aws.amazon.com/security/vulnerability-reporting/). Please do **not** create a public github issue.
55 |
56 |
57 | ## Licensing
58 |
59 | See the [LICENSE](LICENSE) file for our project's licensing. We will ask you to confirm the licensing of your contribution.
60 |
61 | We may ask you to sign a [Contributor License Agreement (CLA)](http://en.wikipedia.org/wiki/Contributor_License_Agreement) for larger changes.
62 |
--------------------------------------------------------------------------------
/LICENSE:
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1 |
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/NOTICE:
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1 | Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
2 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | ## Amazon Augmented AI Sample Task UIs
2 |
3 | This repository contains sample task UIs for [Amazon Augmented AI (A2I)](https://aws.amazon.com/augmented-ai/). It contains subdirectories by use case (audio, images, text, video, other).
4 |
5 | For additional task UI resources, please refer to the official documentation [here](https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-instructions-overview.html) and [here](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-ui-template-reference.html).
6 |
7 | Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.
8 |
9 | ## License Summary
10 |
11 | This sample code is made available under the MIT-0 license. See the LICENSE file.
12 |
--------------------------------------------------------------------------------
/audio/audio-classification-multiselect.liquid.html:
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1 |
2 |
3 |
4 |
10 |
11 |
15 |
16 |
17 |
18 |
Use the bounding box tool to draw boxes around the requested target of interest:
12 |
13 |
Draw a rectangle using your mouse over each instance of the target.
14 |
Make sure the box does not cut into the target, leave a 2 - 3 pixel margin
15 |
16 | When targets are overlapping, draw a box around each object,
17 | include all contiguous parts of the target in the box.
18 | Do not include parts that are completely overlapped by another object.
19 |
20 |
21 | Do not include parts of the target that cannot be seen,
22 | even though you think you can interpolate the whole shape of the target.
23 |
24 |
Avoid shadows, they're not considered as a part of the target.
25 |
If the target goes off the screen, label up to the edge of the image.
Intructions for determining if the image contains the object:
13 |
14 |
Begin by carefully examining the entire image
15 |
Next determine if the object of interest occurs in the image
16 |
If it the object exists in the image, select that option; otherwise, indicate it does not
17 |
18 |
19 |
20 |
21 | Does this image contain the object of interest?
22 |
23 |
24 |
--------------------------------------------------------------------------------
/images/image-moderation.liquid.html:
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1 |
2 |
3 |
4 |
10 |
11 |
Detailed Instructions
12 |
Determine if there is offensive content in this image
13 |
14 |
Begin by carefully examining the entire image
15 |
Next determine if the image contains any offensive content
16 |
If the image contains offensive content, select the appropriate category: (1) Violence, (2) Nudity, (3) Highly Sexual Content, (4) Offensive Gestures, (5) Profanity, (6) Illegal Drugs, or (7) Other
17 |
If it does not contain offensive content, indicate it is a safe image
18 |
19 |
20 |
21 | Determine if there is sensitive content in this image
22 |
23 |
24 |
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/images/image-similarity.liquid.html:
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1 |
2 |
3 |
4 |
9 |
10 |
11 |
12 |
13 |
14 |
15 | Please indicate how similar the two images are on a scale from 1 to 5, where 1 indicates that the images are not similar at all and 5 indicates that the image are highly similar.
16 |
17 |
18 |
19 | Please indicate how similar the two images are on a scale from 1 to 5, where 1 indicates that the images are not similar at all and 5 indicates that the image are highly similar.
20 |
21 |
22 |
--------------------------------------------------------------------------------
/images/image-summarization.liquid.html:
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1 |
2 |
3 |
4 |
5 |
6 |
Write a short sentence that summarize the contents of an image.
7 |
8 |
9 |
Imagine that you are describing an image to a friend or tagging it for a news website. Provide a sentence that describes it.
10 |
Use punctuatation and don't mention that you're describing an image.
11 |
12 |
13 |
14 |
15 | A two-way highway running surrounded by trees with lots of cars and a gas station on the right.
16 |
17 |
18 |
19 |
20 |
21 | Don't mention that you're describing an image:
22 | In this image, we see a highway.
23 |
24 |
25 |
26 |
27 |
28 | Be specific:
29 | An outdoor scene with a city in the background.
30 |
31 |
32 |
33 |
Instructions: Given an image, write a sentence summarizing what it shows
34 |
Use punctuatation and don't mention that you're describing an image.
35 |
View the instructions for detailed instructions and examples.
Choose the appropriate label that best suits the image.
14 |
Draw a polyline around the boundaries of all objects
15 | that the label applies to.
16 |
Make sure that the polyline fits tightly around the boundary
17 | of the object.
18 |
19 |
20 |
21 |
Read the task carefully and inspect the image.
22 |
Review the tool guide to learn how to use the polyline tool.
23 |
Choose the appropriate label that best suits the image.
24 |
To draw a polyline, select a label that applies to an object of interest
25 | and add a single point to the photo by clicking on that point. Continue to
26 | draw the polyline around the object by adding additional points
27 | around the object boundary.
Review the image and choose all applicable categories.
24 | If no categories apply, choose None.
25 |
26 | Nudity
27 | Visuals depicting nude male or female person or persons
28 |
29 | Graphic Male Nudity
30 | Visuals depicting full frontal male nudity, often close ups
31 |
32 | Graphic Female Nudity
33 | Visuals depicting full frontal female nudity, often close ups
34 |
35 | Sexual Activity
36 | Visuals depicting various types of explicit sexual activities and pornography
37 |
38 | Illustrated Explicit Nudity
39 | Visuals depicting animated or drawn sexual activity, nudity or pornography
40 |
41 | Adult Toys
42 | Visuals depicting adult toys, often in a marketing context
43 |
44 | Female Swimwear or Underwear
45 | Visuals depicting female person wearing only swimwear or underwear
46 |
47 | Male Swimwear Or Underwear
48 | Visuals depicting male person wearing only swimwear or underwear
49 |
50 | Barechested Male
51 | Visuals depicting topless males
52 |
53 | Partial Nudity
54 | Visuals depicting covered up nudity, for example using hands or pose
55 |
56 | Sexual Situations
57 | Visuals depicting passionate kissing and embracing of a sexual nature
58 |
59 | Revealing Clothes
60 | Visuals depicting revealing clothes and poses, such as deep cut dresses
61 |
62 | Graphic Violence or Gore
63 | Visuals depicting prominent blood or bloody injuries
64 |
65 | Physical Violence
66 | Visuals depicting violent physical assault, such as kicking or punching
67 |
68 | Weapon Violence
69 | Visuals depicting violence using weapons like firearms or blades, such as shooting
70 |
71 | Weapons
72 | Visuals depicting weapons like firearms and blades
73 |
74 | Self Injury
75 | Visuals depicting self-inflicted cutting on the body, typically in distinctive patterns using sharp objects
76 |
77 | Emaciated Bodies
78 | Visuals depicting extremely malnourished human bodies
79 |
80 | Corpses
81 | Visuals depicting human dead bodies
82 |
83 | Hanging
84 | Visuals depicting death by hanging
85 |
86 | Air Crash
87 | Visuals depicting air crashes
88 |
89 | Explosions and Blasts
90 | Visuals depicting blasts and explosions
91 |
92 | Middle Finger
93 | Visuals depicting a person showing the middle finger as a rude gesture
94 |
95 | Drug Products
96 | Visuals depicting drug products like joints or marijuana
97 |
98 | Drug Use
99 | Visuals depicting drug use, for example, snorting drug powders
100 |
101 | Pills
102 | Visuals depicting pills of any kind
103 |
104 | Drug Paraphernalia
105 | Visuals depicting drug paraphernalia like bongs and vaporizers
106 |
107 | Tobacco Products
108 | Visuals depicting tobacco products like cigarettes and e-cigarette devices
109 |
110 | Smoking
111 | Visuals depicting a person or persons smoking
112 |
113 | Drinking
114 | Visuals depicting a person or persons drinking alcoholic beverages
115 |
116 | Alcoholic Beverages
117 | Visuals depicting bottles or containers of alcoholic beverages
118 |
119 | Gambling
120 | Visuals depicting gambling, such as slot machines or casinos
121 |
122 | Nazi Party
123 | Visuals depicting Nazi party symbols, such as the Nazi Swastika
124 |
125 | White Supremacy
126 | Visuals depicting white supremacy symbols, such as the Confederate flag
127 |
128 | Extremist
129 | Visuals depicting flags and emblems of extremist organizations
130 |
131 |
132 |
133 |
134 |
135 |
136 |
--------------------------------------------------------------------------------
/images/semantic-segmentation-bounding-box-validation.liquid.html:
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1 |
2 |
3 |
4 |
10 |
11 | Describe your task
12 |
13 |
14 |
15 | Describe your task
16 |
17 |
18 |
19 |
If someone searched for {{ task.input.searchText }}, would this item be relevant to them?
18 |
19 |
Definition of relevance:
20 |
21 |
22 |
The item can be used directly for the interest
23 | (e.g. tent in camping)
24 |
The item is themed towards a certain interest
25 | (e.g. Disney Frozen themed clothing)
26 |
The item, while not directly themed for the interest, is used by interest enthusiasts
27 | (e.g. generic knife that people use for mushroom hunting, clothing used to dress up as Lord of the Rings (movie/book) characters)
28 |
29 |
Note that related toys/decorations/themed items count as 'Yes'.
30 |
31 |
32 |
33 | If someone searched for {{ task.input.searchText }}, would this item be relevant to them?
34 |
35 |
36 |
--------------------------------------------------------------------------------
/other/side-by-side-comparison.liquid.html:
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1 |
2 |
3 |
26 |
27 |
28 |
29 |
Instructions
30 | Lorem ipsum...
31 |
32 |
33 |
Background
34 |
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
35 |
36 |
37 |
38 |
Option 1
39 |
Nulla facilisi morbi tempus iaculis urna. Orci dapibus ultrices in iaculis nunc sed augue lacus.
40 |
41 |
42 |
43 |
Option 2
44 |
Ultrices vitae auctor eu augue ut. Pellentesque massa placerat duis ultricies lacus sed turpis tincidunt id.
Open the link below to complete the survey. At the end of the survey, you will receive a code to paste into the box below to receive credit for taking our survey.
5 |
6 |
Make sure to leave this window open as you complete the survey. When you are finished, you will return to this page to paste the code into the box.
Given a context and an intent, write how you would express the intent using natural language. Don't try to be overly formal, simply write what you would say if you were in the given situation.
12 |
13 |
14 |
15 |
Context
16 |
You bought a pair of shoes online but they don't fit
17 |
18 |
Intent
19 |
You want to try to return the shoes via an online customer service chat bot
20 |
21 |
Response
22 |
I would like to return a pair of shoes
23 |
24 |
25 |
26 |
Context
27 |
You bought a pair of shoes online but they don't fit
28 |
29 |
Intent
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You want to try to return the shoes via an online customer service chat bot
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Response
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Hi, I'm trying to buy a plane ticket for tomorrow morning and your website isn't working
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Context
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You bought a pair of shoes online but they don't fit
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Intent
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You want to try to return the shoes via an online customer service chat bot
Select the most relevant intention expressed by the text.
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Example: I would like to return a pair of shoes
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Intent: Return
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20 |
21 |
22 | Pick the most relevant intention expressed by the text
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/text/key-phrase-extraction.html:
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3 |
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In the provided text, identify the key phrases. For example, the key phases are highlighted in the following:
17 |
"Excellent bag and
18 | fast shipping! Bag
19 | arrived right on time and
20 | packaged very well. The bag itself is
21 | good quality! Was a bit
22 | skeptical ordering this bag off amazon but it's
23 | 100% authentic and the
24 | best price!"
25 |
One way to help identify key phases is imagining what a word cloud would look like for this text.
The following text may contain a noun, verb, article, adjective, preposition, pronoun, adverb, conjunction, and interjection. Please select and label all of the them.
19 |
If you have trouble choosing a category, try searching the web to find out more information.
Listen to the audio samples. Determine whether the samples sound like they are produced by the same speaker. Focus on identifying the voice for the corresponding speaker identity rather than the content.
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For better results, wear headphones and work in a quiet environment.
21 |
You have 4 options to indicate how sure you are of your decision of whether the two speech samples are spoken by the same speaker:
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23 |
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How confident are you that these two recordings were said by the same person?
25 |
26 |
Note: Only determine whether the same person spoke both recordings, ignore the content of the speech.
How similar is the meaning of these two pieces of text?
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17 |
18 |
19 | How similar is the meaning of these two pieces of text?
20 |
21 |
22 |
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/text/sentiment-analysis-multiple-documents.liquid.html:
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2 |
3 |
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32 | Your short instructions here.
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34 |
35 |
36 | Your full instructions here.
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38 |
39 |
Neutral: neither positive or negative, such as stating a fact
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N/A: when the text cannot be understood
18 |
When the sentiment is mixed, such as both joy and sadness, use your judgment to choose the stronger emotion.
19 |
20 |
21 |
22 | Choose the most relevant category that is expressed by the text.
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24 |
25 |
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/text/textract_analyze_document.liquid.html:
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1 |
2 | {% capture s3_uri %}s3://{{ task.input.aiServiceRequest.document.s3Object.bucket }}/{{ task.input.aiServiceRequest.document.s3Object.name }}{% endcapture %}
3 |
4 |
5 |
14 |
15 |
24 |
Click on a key-value block to highlight the corresponding key-value pair in the document.
25 |
26 | If it is a valid key-value pair, review the content for the value. If the content is incorrect, correct it.
27 |
28 | If the text of the value is incorrect, correct it.
29 |
30 |
31 | If a wrong value is identified, correct it.
32 |
33 |
34 | If it is not a valid key-value relationship, choose No.
35 |
36 |
37 | If you can’t find the key in the document, choose Key not found.
38 |
39 |
40 | If the content of a field is empty, choose Value is blank.
41 |
42 |
43 | Examples
44 | The key and value are often displayed next or below to each other.
45 |
46 | For example, key and value displayed in one line.
47 |
48 |
49 | For example, key and value displayed in two lines.
50 |
51 |
52 | If the content of the value has multiple lines, enter all the text without a line break. Include all value text, even if it extends beyond the highlighted box.
53 |
Read the two pieces of text below and use the sliders below indicate how much you agree with the statements (1 = Strongly disagree, 5 = Strongly agree)
5 |
Source Text ({{ task.input.original.language }}): {{ task.input.original.text }}
6 |
Translated Text ({{ task.input.translation.language }}): {{ task.input.translation.text }}
7 |
8 |
9 |
10 |
1) The second text adequately expresses the meaning of the first text in {{ task.input.translation.language }}
11 |
12 |
13 |
14 |
2) The second text is fluent {{ task.input.translation.language }}
The source document has been broken up into sentences and each sentence has been translated using Amazon Translate. The source text, along with their
16 | machine generated translation is shown in the table. Please review the translated text and make changes so it reads more like something a person would write rather than an automated translation.
17 | Please do this for all the sentences. Once done, click on Submit to finish the job. The system will reassemble the edited text to match the original source formatting.
18 |
19 |
20 |
21 |
22 |
Instructions
23 |
Please review the below translations and make corrections and improvements. Your corrections should:
24 |
25 |
26 |
Make the translated text more accurately express the meaning of the original text.
27 |
Make the translated text read more like something a person would write rather than an automated translation.
28 |
29 |
30 |
31 |
32 |
33 |
34 |
Sentence
35 |
Original ({{ task.input.SourceLanguage }})
36 |
Translation ({{ task.input.TargetLanguage }})
37 |
38 |
39 | {% for pair in task.input.translationPairs %}
40 |
41 |
30 |
31 | If a wrong value is identified, correct it.
32 | 
33 |
34 | If it is not a valid key-value relationship, choose No.
35 | 
36 |
37 | If you can’t find the key in the document, choose Key not found.
38 | 
39 |
40 | If the content of a field is empty, choose Value is blank.
41 | 
42 |
43 | Examples
44 | The key and value are often displayed next or below to each other.
45 |
46 | For example, key and value displayed in one line.
47 | 
48 |
49 | For example, key and value displayed in two lines.
50 | 
51 |
52 | If the content of the value has multiple lines, enter all the text without a line break. Include all value text, even if it extends beyond the highlighted box.
53 | 