Data · dataset · 2022
TyDi QA
Listed in Hugging Face Datasets
TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.
Description
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). We also include "translate-train" and "translate-test" splits for each non-English languages from XTREME (Hu et al., 2020).
Read the rest (1 more)
These splits are the automatic translations from English to each target language used in the XTREME paper [arxiv.org/abs/2003.11080]. The "translate-train" split purposefully ignores the non-English TyDiQA-GoldP training data to simulate the transfer learning scenario where original-language data is not available and system builders must rely on labeled English data plus existing machine translation systems.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/juletxara/tydiqa_xtreme ↗
landing page · from Hugging Face
Documentation and papers
- arXiv:2003.11080 arxiv.org/abs/2003.11080 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/juletxara/tydiqa_xtreme ↗
metadata API · from Hugging Face
Topics
- Stated by source
- question answering
- From keywords
- Computer Science & AI
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | juletxara/tydiqa_xtreme | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[task].hf_task:question-answering | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license | source · Hugging Face | connector:huggingface@1.0.0 | /tags[license:*] |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |