---
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: q
    dtype: string
  - name: a
    dtype: string
  splits:
  - name: th2en
    num_bytes: 261404758
    num_examples: 438008
  - name: en2th
    num_bytes: 261020179
    num_examples: 437191
  - name: mtinstruct_th2en
    num_bytes: 194991586
    num_examples: 438008
  - name: mtinstruct_en2th
    num_bytes: 194712580
    num_examples: 437191
  download_size: 349631371
  dataset_size: 912129103
configs:
- config_name: default
  data_files:
  - split: th2en
    path: data/th2en-*
  - split: en2th
    path: data/en2th-*
  - split: mtinstruct_th2en
    path: data/mtinstruct_th2en-*
  - split: mtinstruct_en2th
    path: data/mtinstruct_en2th-*
license: cc-by-3.0
language:
- th
- en
---
# Thai Aligninstruct Dataset

This project was try to make English-Thai Aligninstruct.

I use simalign for making the High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings and use [deepcut](https://github.com/rkcosmos/deepcut) (by [lekcut](https://github.com/PyThaiNLP/LEKCut)) to tokenize Thai word.

The data use [scb-mt-en-th-2020](https://huggingface.co/datasets/scb_mt_enth_2020).


## References

- Aligninstruct: [https://arxiv.org/abs/2401.05811v1](https://arxiv.org/abs/2401.05811v1)
- SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings: [https://aclanthology.org/2020.findings-emnlp.147/](https://aclanthology.org/2020.findings-emnlp.147/)
- scb-mt-en-th-2020: A Large English-Thai Parallel Corpus: [https://arxiv.org/abs/2007.03541](https://arxiv.org/abs/2007.03541)