| | --- |
| | pretty_name: TyDi QA |
| | annotations_creators: |
| | - crowdsourced |
| | language_creators: |
| | - crowdsourced |
| | language: |
| | - en |
| | - ar |
| | - bn |
| | - fi |
| | - id |
| | - ja |
| | - sw |
| | - ko |
| | - ru |
| | - te |
| | - th |
| | license: |
| | - apache-2.0 |
| | multilinguality: |
| | - multilingual |
| | size_categories: |
| | - unknown |
| | source_datasets: |
| | - extended|wikipedia |
| | task_categories: |
| | - question-answering |
| | task_ids: |
| | - extractive-qa |
| | paperswithcode_id: tydi-qa |
| | --- |
| | |
| | # Dataset Card for "tydiqa" |
| |
|
| | ## Table of Contents |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Summary](#dataset-summary) |
| | - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| | - [Languages](#languages) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Data Instances](#data-instances) |
| | - [Data Fields](#data-fields) |
| | - [Data Splits](#data-splits) |
| | - [Dataset Creation](#dataset-creation) |
| | - [Curation Rationale](#curation-rationale) |
| | - [Source Data](#source-data) |
| | - [Annotations](#annotations) |
| | - [Personal and Sensitive Information](#personal-and-sensitive-information) |
| | - [Considerations for Using the Data](#considerations-for-using-the-data) |
| | - [Social Impact of Dataset](#social-impact-of-dataset) |
| | - [Discussion of Biases](#discussion-of-biases) |
| | - [Other Known Limitations](#other-known-limitations) |
| | - [Additional Information](#additional-information) |
| | - [Dataset Curators](#dataset-curators) |
| | - [Licensing Information](#licensing-information) |
| | - [Citation Information](#citation-information) |
| | - [Contributions](#contributions) |
| |
|
| | ## Dataset Description |
| |
|
| | - **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) |
| | - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | - **Size of downloaded dataset files:** 3726.74 MB |
| | - **Size of the generated dataset:** 5812.92 MB |
| | - **Total amount of disk used:** 9539.67 MB |
| |
|
| | ### Dataset Summary |
| |
|
| | TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. |
| | The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language |
| | expresses -- such that we expect models performing well on this set to generalize across a large number of the languages |
| | in the world. It contains language phenomena that would not be found in English-only corpora. To provide a realistic |
| | information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but |
| | don’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without |
| | the use of translation (unlike MLQA and XQuAD). |
| |
|
| | ### Supported Tasks and Leaderboards |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ### Languages |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | #### primary_task |
| | |
| | - **Size of downloaded dataset files:** 1863.37 MB |
| | - **Size of the generated dataset:** 5757.59 MB |
| | - **Total amount of disk used:** 7620.96 MB |
| | |
| | An example of 'validation' looks as follows. |
| | ``` |
| | This example was too long and was cropped: |
| | |
| | { |
| | "annotations": { |
| | "minimal_answers_end_byte": [-1, -1, -1], |
| | "minimal_answers_start_byte": [-1, -1, -1], |
| | "passage_answer_candidate_index": [-1, -1, -1], |
| | "yes_no_answer": ["NONE", "NONE", "NONE"] |
| | }, |
| | "document_plaintext": "\"\\nรองศาสตราจารย์[1] หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร (22 กันยายน 2495 -) ผู้ว่าราชการกรุงเทพมหานครคนที่ 15 อดีตรองหัวหน้าพรรคปร...", |
| | "document_title": "หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร", |
| | "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%...", |
| | "language": "thai", |
| | "passage_answer_candidates": "{\"plaintext_end_byte\": [494, 1779, 2931, 3904, 4506, 5588, 6383, 7122, 8224, 9375, 10473, 12563, 15134, 17765, 19863, 21902, 229...", |
| | "question_text": "\"หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร เรียนจบจากที่ไหน ?\"..." |
| | } |
| | ``` |
| | |
| |
|
| |
|
| | ### Data Fields |
| |
|
| | The data fields are the same among all splits. |
| |
|
| | #### primary_task |
| | - `passage_answer_candidates`: a dictionary feature containing: |
| | - `plaintext_start_byte`: a `int32` feature. |
| | - `plaintext_end_byte`: a `int32` feature. |
| | - `question_text`: a `string` feature. |
| | - `document_title`: a `string` feature. |
| | - `language`: a `string` feature. |
| | - `annotations`: a dictionary feature containing: |
| | - `passage_answer_candidate_index`: a `int32` feature. |
| | - `minimal_answers_start_byte`: a `int32` feature. |
| | - `minimal_answers_end_byte`: a `int32` feature. |
| | - `yes_no_answer`: a `string` feature. |
| | - `document_plaintext`: a `string` feature. |
| | - `document_url`: a `string` feature. |
| |
|
| |
|
| |
|
| | ### Data Splits |
| |
|
| | | name | train | validation | |
| | | -------------- | -----: | ---------: | |
| | | primary_task | 166916 | 18670 | |
| | |
| | |
| | ## Dataset Creation |
| | |
| | ### Curation Rationale |
| | |
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | |
| | ### Source Data |
| | |
| | #### Initial Data Collection and Normalization |
| | |
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | |
| | #### Who are the source language producers? |
| | |
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | |
| | ### Annotations |
| | |
| | #### Annotation process |
| | |
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | |
| | #### Who are the annotators? |
| | |
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | |
| | ### 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) |
| | |
| | ### Citation Information |
| | |
| | ``` |
| | @article{tydiqa, |
| | title = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages}, |
| | author = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki} |
| | year = {2020}, |
| | journal = {Transactions of the Association for Computational Linguistics} |
| | } |
| | |
| | |
| | |
| | |
| | |
| | ``` |
| | |
| | ``` |
| | @inproceedings{ruder-etal-2021-xtreme, |
| | title = "{XTREME}-{R}: Towards More Challenging and Nuanced Multilingual Evaluation", |
| | author = "Ruder, Sebastian and |
| | Constant, Noah and |
| | Botha, Jan and |
| | Siddhant, Aditya and |
| | Firat, Orhan and |
| | Fu, Jinlan and |
| | Liu, Pengfei and |
| | Hu, Junjie and |
| | Garrette, Dan and |
| | Neubig, Graham and |
| | Johnson, Melvin", |
| | booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing", |
| | month = nov, |
| | year = "2021", |
| | address = "Online and Punta Cana, Dominican Republic", |
| | publisher = "Association for Computational Linguistics", |
| | url = "https://aclanthology.org/2021.emnlp-main.802", |
| | doi = "10.18653/v1/2021.emnlp-main.802", |
| | pages = "10215--10245", |
| | |
| | } |
| | |
| | } |
| | ``` |
| | |
| | |
| | |
| | |
| | |
