Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Size:
100K - 1M
License:
Update files from the datasets library (from 1.3.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.3.0
README.md
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---
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---
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# Dataset Card for "tydiqa"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits Sample Size](#data-splits-sample-size)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## [Dataset Description](#dataset-description)
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- **Homepage:** [https://github.com/google-research-datasets/tydiqa](https://github.com/google-research-datasets/tydiqa)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 3726.74 MB
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- **Size of the generated dataset:** 5812.92 MB
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- **Total amount of disk used:** 9539.67 MB
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### [Dataset Summary](#dataset-summary)
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TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.
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The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language
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expresses -- such that we expect models performing well on this set to generalize across a large number of the languages
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in the world. It contains language phenomena that would not be found in English-only corpora. To provide a realistic
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information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but
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don’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without
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the use of translation (unlike MLQA and XQuAD).
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### [Supported Tasks](#supported-tasks)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Languages](#languages)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Dataset Structure](#dataset-structure)
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We show detailed information for up to 5 configurations of the dataset.
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### [Data Instances](#data-instances)
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#### primary_task
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- **Size of downloaded dataset files:** 1863.37 MB
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- **Size of the generated dataset:** 5757.59 MB
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- **Total amount of disk used:** 7620.96 MB
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An example of 'validation' looks as follows.
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```
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This example was too long and was cropped:
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{
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"annotations": {
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"minimal_answers_end_byte": [-1, -1, -1],
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"minimal_answers_start_byte": [-1, -1, -1],
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"passage_answer_candidate_index": [-1, -1, -1],
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"yes_no_answer": ["NONE", "NONE", "NONE"]
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},
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"document_plaintext": "\"\\nรองศาสตราจารย์[1] หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร (22 กันยายน 2495 -) ผู้ว่าราชการกรุงเทพมหานครคนที่ 15 อดีตรองหัวหน้าพรรคปร...",
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"document_title": "หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร",
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"document_url": "\"https://th.wikipedia.org/wiki/%E0%B8%AB%E0%B8%A1%E0%B9%88%E0%B8%AD%E0%B8%A1%E0%B8%A3%E0%B8%B2%E0%B8%8A%E0%B8%A7%E0%B8%87%E0%B8%...",
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"language": "thai",
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"passage_answer_candidates": "{\"plaintext_end_byte\": [494, 1779, 2931, 3904, 4506, 5588, 6383, 7122, 8224, 9375, 10473, 12563, 15134, 17765, 19863, 21902, 229...",
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"question_text": "\"หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร เรียนจบจากที่ไหน ?\"..."
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}
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```
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#### secondary_task
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- **Size of downloaded dataset files:** 1863.37 MB
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- **Size of the generated dataset:** 55.34 MB
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- **Total amount of disk used:** 1918.71 MB
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An example of 'validation' looks as follows.
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```
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This example was too long and was cropped:
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{
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"answers": {
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"answer_start": [394],
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"text": ["بطولتين"]
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},
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"context": "\"أقيمت البطولة 21 مرة، شارك في النهائيات 78 دولة، وعدد الفرق التي فازت بالبطولة حتى الآن 8 فرق، ويعد المنتخب البرازيلي الأكثر تت...",
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"id": "arabic-2387335860751143628-1",
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"question": "\"كم عدد مرات فوز الأوروغواي ببطولة كاس العالم لكرو القدم؟\"...",
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"title": "قائمة نهائيات كأس العالم"
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}
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```
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### [Data Fields](#data-fields)
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The data fields are the same among all splits.
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#### primary_task
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- `passage_answer_candidates`: a dictionary feature containing:
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- `plaintext_start_byte`: a `int32` feature.
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- `plaintext_end_byte`: a `int32` feature.
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- `question_text`: a `string` feature.
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- `document_title`: a `string` feature.
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- `language`: a `string` feature.
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- `annotations`: a dictionary feature containing:
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- `passage_answer_candidate_index`: a `int32` feature.
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- `minimal_answers_start_byte`: a `int32` feature.
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- `minimal_answers_end_byte`: a `int32` feature.
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- `yes_no_answer`: a `string` feature.
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- `document_plaintext`: a `string` feature.
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- `document_url`: a `string` feature.
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#### secondary_task
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- `id`: a `string` feature.
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- `title`: a `string` feature.
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a dictionary feature containing:
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- `text`: a `string` feature.
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- `answer_start`: a `int32` feature.
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### [Data Splits Sample Size](#data-splits-sample-size)
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| name |train |validation|
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|--------------|-----:|---------:|
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|primary_task |166916| 18670|
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|secondary_task| 49881| 5077|
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## [Dataset Creation](#dataset-creation)
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### [Curation Rationale](#curation-rationale)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Source Data](#source-data)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Annotations](#annotations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Personal and Sensitive Information](#personal-and-sensitive-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Considerations for Using the Data](#considerations-for-using-the-data)
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### [Social Impact of Dataset](#social-impact-of-dataset)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Discussion of Biases](#discussion-of-biases)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Other Known Limitations](#other-known-limitations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Additional Information](#additional-information)
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### [Dataset Curators](#dataset-curators)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Licensing Information](#licensing-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Citation Information](#citation-information)
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```
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@article{tydiqa,
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title = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
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author = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki}
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year = {2020},
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journal = {Transactions of the Association for Computational Linguistics}
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}
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```
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@albertvillanova](https://github.com/albertvillanova), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
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