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--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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language: |
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- ar |
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- bn |
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- en |
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- fi |
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- id |
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- ja |
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- ko |
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- ru |
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- sw |
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- te |
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- th |
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license: |
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- apache-2.0 |
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multilinguality: |
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- multilingual |
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size_categories: |
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- unknown |
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source_datasets: |
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- extended|wikipedia |
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task_categories: |
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- question-answering |
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task_ids: |
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- extractive-qa |
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paperswithcode_id: tydi-qa |
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pretty_name: TyDi QA |
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dataset_info: |
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- config_name: primary_task |
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features: |
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- name: passage_answer_candidates |
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sequence: |
|
- name: plaintext_start_byte |
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dtype: int32 |
|
- name: plaintext_end_byte |
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dtype: int32 |
|
- name: question_text |
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dtype: string |
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- name: document_title |
|
dtype: string |
|
- name: language |
|
dtype: string |
|
- name: annotations |
|
sequence: |
|
- name: passage_answer_candidate_index |
|
dtype: int32 |
|
- name: minimal_answers_start_byte |
|
dtype: int32 |
|
- name: minimal_answers_end_byte |
|
dtype: int32 |
|
- name: yes_no_answer |
|
dtype: string |
|
- name: document_plaintext |
|
dtype: string |
|
- name: document_url |
|
dtype: string |
|
splits: |
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- name: train |
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num_bytes: 5550573801 |
|
num_examples: 166916 |
|
- name: validation |
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num_bytes: 484380347 |
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num_examples: 18670 |
|
download_size: 2912112378 |
|
dataset_size: 6034954148 |
|
- config_name: secondary_task |
|
features: |
|
- name: id |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: context |
|
dtype: string |
|
- name: question |
|
dtype: string |
|
- name: answers |
|
sequence: |
|
- name: text |
|
dtype: string |
|
- name: answer_start |
|
dtype: int32 |
|
splits: |
|
- name: train |
|
num_bytes: 52948467 |
|
num_examples: 49881 |
|
- name: validation |
|
num_bytes: 5006433 |
|
num_examples: 5077 |
|
download_size: 29402238 |
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dataset_size: 57954900 |
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configs: |
|
- config_name: primary_task |
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data_files: |
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- split: train |
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path: primary_task/train-* |
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- split: validation |
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path: primary_task/validation-* |
|
- config_name: secondary_task |
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data_files: |
|
- split: train |
|
path: secondary_task/train-* |
|
- split: validation |
|
path: secondary_task/validation-* |
|
--- |
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|
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# Dataset Card for "tydiqa" |
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|
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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 and Leaderboards](#supported-tasks-and-leaderboards) |
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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](#data-splits) |
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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) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
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- **Homepage:** [https://github.com/google-research-datasets/tydiqa](https://github.com/google-research-datasets/tydiqa) |
|
- **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:** 3.91 GB |
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- **Size of the generated dataset:** 6.10 GB |
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- **Total amount of disk used:** 10.00 GB |
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|
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### Dataset Summary |
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|
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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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|
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### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
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### Languages |
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|
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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 |
|
|
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### Data Instances |
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|
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#### primary_task |
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|
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- **Size of downloaded dataset files:** 1.95 GB |
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- **Size of the generated dataset:** 6.04 GB |
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- **Total amount of disk used:** 7.99 GB |
|
|
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An example of 'validation' looks as follows. |
|
``` |
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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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|
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#### secondary_task |
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|
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- **Size of downloaded dataset files:** 1.95 GB |
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- **Size of the generated dataset:** 58.03 MB |
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- **Total amount of disk used:** 2.01 GB |
|
|
|
An example of 'validation' looks as follows. |
|
``` |
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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 |
|
|
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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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|
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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 |
|
|
|
| name | train | validation | |
|
| -------------- | -----: | ---------: | |
|
| primary_task | 166916 | 18670 | |
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| secondary_task | 49881 | 5077 | |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[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 |
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|
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#### Initial Data Collection and Normalization |
|
|
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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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|
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#### Who are the source language producers? |
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|
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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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|
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### Annotations |
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|
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#### Annotation process |
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|
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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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|
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#### Who are the annotators? |
|
|
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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 |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Licensing Information |
|
|
|
[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 |
|
|
|
``` |
|
@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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} |
|
|
|
``` |
|
|
|
|
|
### Contributions |
|
|
|
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. |
