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---
pretty_name: TyDiQA-GoldP-Th
language:
- th
task_categories:
- question-answering
task_ids:
- extractive-qa
configs:
- config_name: default
data_files:
- split: train
path: tydiqa.goldp.th.train.json
- split: dev
path: tydiqa.goldp.th.dev.json
---
# TyDiQA-GoldP-Th
This dataset contains a removed Thai TyDiQA dataset obtained from [Khalidalt's TyDiQA Dataset](https://huggingface.co/datasets/khalidalt/tydiqa-goldp).
This dataset version does the following additional preprocessing to the dataset
1. Convert byte-level index into character-level index
2. Fix any mismatch text between answer span and actual text
3. Re-split train/development set such that there's no leakage in context passage
4. Deduplicate questions from the same context passage
## Dataset Format
The dataset is formatted to make it compatible to [XTREME benchmark](https://github.com/google-research/xtreme) format. The data is formatted as the following pattern:
```json
{
"version": "TyDiQA-GoldP-1.1-for-SQuAD-1.1",
"data": [
{
"paragrahs": [{
"context": [PASSAGE CONTEXT HERE],
"qas": [{
"answers": [{
"answer_start": [CONTEXT START CHAR INDEX OF ANSWER],
"text": [TEXT SPAN FROM CONTEXT],
}],
"question": [QUESTION],
"id": [ID]
}]
}],
},
...
]
}
```
## Author
Chompakorn Chaksangchaichot |