ReCoRD_TH_cleanned / README.md
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---
task_categories:
- text-classification
language:
- en
- th
dataset_info:
features:
- name: passage
dtype: string
- name: passage_TH
dtype: string
- name: query
dtype: string
- name: query_TH
dtype: string
- name: entities
sequence: string
- name: entities_TH
sequence: string
- name: entity_spans
struct:
- name: end
sequence: int64
- name: start
sequence: int64
- name: text
sequence: string
- name: answers
sequence: string
- name: answers_TH
sequence: string
- name: idx
struct:
- name: passage
dtype: int64
- name: query
dtype: int64
- name: score_passage
dtype: float64
- name: score_query
dtype: float64
- name: score_entities
dtype: float64
- name: score_answers
dtype: float64
splits:
- name: train
num_bytes: 281547282
num_examples: 57811
- name: validation
num_bytes: 32258456
num_examples: 6676
download_size: 112999233
dataset_size: 313805738
license: cc-by-sa-4.0
---
# Dataset Card for ReCoRD_TH_cleanned
### Dataset Description
This dataset is Thai translated version of [ReCoRD](https://huggingface.co/datasets/super_glue/viewer/record) using google translate with [Multilingual Universal Sentence Encoder](https://arxiv.org/abs/1907.04307) to calculate score for Thai translation.
Drop every row that score_answers < 0.8 and every row that score < 0.5 after penalty.
## Citation
```bash
@misc{ReCoRD_TH_cleanned,
author = {Triamamornwooth Patteera},
title = {ReCoRD_TH_cleanned},
year = {2023},
publisher = {Hugging Face},
note = {v1.0},
url = {https://huggingface.co/datasets/Patt/ReCoRD_TH_cleanned}
}
```