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README.md

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----
-annotations_creators:
-- crowdsourced
-language_creators:
-- crowdsourced
-language:
-- ar
-- bn
-- en
-- fi
-- id
-- ja
-- ko
-- ru
-- sw
-- 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
-pretty_name: TyDi QA
-dataset_info:
-- config_name: primary_task
-  features:
-  - name: passage_answer_candidates
-    sequence:
-    - name: plaintext_start_byte
-      dtype: int32
-    - name: plaintext_end_byte
-      dtype: int32
-  - name: question_text
-    dtype: string
-  - 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:
-  - name: train
-    num_bytes: 5550573801
-    num_examples: 166916
-  - name: validation
-    num_bytes: 484380347
-    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
-  dataset_size: 57954900
-configs:
-- config_name: primary_task
-  data_files:
-  - split: train
-    path: primary_task/train-*
-  - split: validation
-    path: primary_task/validation-*
-- config_name: secondary_task
-  data_files:
-  - split: train
-    path: secondary_task/train-*
-  - split: validation
-    path: secondary_task/validation-*
----
-
-# 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:** 3.91 GB
-- **Size of the generated dataset:** 6.10 GB
-- **Total amount of disk used:** 10.00 GB
-
-### 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:** 1.95 GB
-- **Size of the generated dataset:** 6.04 GB
-- **Total amount of disk used:** 7.99 GB
-
-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 ?\"..."
-}
-```
-
-#### secondary_task
-
-- **Size of downloaded dataset files:** 1.95 GB
-- **Size of the generated dataset:** 58.03 MB
-- **Total amount of disk used:** 2.01 GB
-
-An example of 'validation' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "answers": {
-        "answer_start": [394],
-        "text": ["بطولتين"]
-    },
-    "context": "\"أقيمت البطولة 21 مرة، شارك في النهائيات 78 دولة، وعدد الفرق التي فازت بالبطولة حتى الآن 8 فرق، ويعد المنتخب البرازيلي الأكثر تت...",
-    "id": "arabic-2387335860751143628-1",
-    "question": "\"كم عدد مرات فوز الأوروغواي ببطولة كاس العالم لكرو القدم؟\"...",
-    "title": "قائمة نهائيات كأس العالم"
-}
-```
-
-### 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.
-
-#### secondary_task
-- `id`: a `string` feature.
-- `title`: a `string` feature.
-- `context`: a `string` feature.
-- `question`: a `string` feature.
-- `answers`: a dictionary feature containing:
-  - `text`: a `string` feature.
-  - `answer_start`: a `int32` feature.
-
-### Data Splits
-
-| name           |  train | validation |
-| -------------- | -----: | ---------: |
-| primary_task   | 166916 |      18670 |
-| 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)
-
-### 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}
-}
-
-```
-
-
-### 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.