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nayohan/translate_corpus_uniform_313k

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Hugging Face2024-06-09 更新2024-06-15 收录
下载链接:
https://hf-mirror.com/datasets/nayohan/translate_corpus_uniform_313k
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资源简介:
--- dataset_info: features: - name: english dtype: string - name: korean dtype: string - name: from dtype: string - name: category dtype: string - name: en_token_len dtype: int64 - name: ko_token_len dtype: int64 splits: - name: train num_bytes: 1148575796.079382 num_examples: 312336 - name: valid num_bytes: 1838686.216253301 num_examples: 500 - name: test num_bytes: 1838686.216253301 num_examples: 500 download_size: 224624524 dataset_size: 1152253168.5118885 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* --- # 10개의 명령어(영어-한국어) 병렬 데이터셋 통합 후 공백, 중복데이터, 토큰 4096이상 문장 제거 | (313k) - [jhflow/orca_ko_en_pair](https://huggingface.co/datasets/jhflow/orca_ko_en_pair) | qeustion, output | 19k *2 = 38k - [jhflow/platypus_ko_en_pair](https://huggingface.co/datasets/jhflow/platypus_ko_en_pair) | insturction_ko, output_ko | 24k * 2 = 48k - [jhflow/dolly_ko_en_pair](https://huggingface.co/datasets/jhflow/dolly_ko_en_pair) | instruction, context, response | 15k * 3 = 45k - [heegyu/OIG-small-chip2-ko](https://huggingface.co/datasets/heegyu/OIG-small-chip2-ko) | user_translated, chip_translated | 210k * 2 % 10 = 42k - [lemon-mint/en_ko_translation_purified_v0.1](https://huggingface.co/datasets/lemon-mint/en_ko_translation_purified_v0.1) | korean | 1.4k - [squarelike/sharegpt_deepl_ko_translation](https://huggingface.co/datasets/squarelike/sharegpt_deepl_ko_translation) | korean | 486k % 10 = 48k - [nayohan/aihub-en-ko-translation-1.2m](https://huggingface.co/datasets/nayohan/aihub-en-ko-translation-1.2m) | 1200k % 25 = 48k - [amphora/parallel-wiki-koen](https://huggingface.co/datasets/amphora/parallel-wiki-koen) | text_ko | 30k - [kuotient/gsm8k-ko](https://huggingface.co/datasets/kuotient/gsm8k-ko) | question, answer | 8k * 2 = 16k - [kuotient/orca-math-word-problems-193k-korean](https://huggingface.co/datasets/kuotient/orca-math-word-problems-193k-korean) | question, answer | 193k *2 % 10 = 38k **Special Thanks to [jhflow](https://huggingface.co/jhflow), [heegyu](https://huggingface.co/heegyu), [lemon-mint](https://huggingface.co/lemon-mint), [squarelike](https://huggingface.co/squarelike), [kuotient](https://huggingface.co/kuotient), [amphora](https://huggingface.co/amphora).**
提供机构:
nayohan
原始信息汇总

数据集概述

数据集信息

  • 特征:
    • english: 字符串类型
    • korean: 字符串类型
    • from: 字符串类型
    • category: 字符串类型
    • en_token_len: 64位整数类型
    • ko_token_len: 64位整数类型
  • 分割:
    • train: 字节数为1148575796.079382,样本数为312336
    • valid: 字节数为1838686.216253301,样本数为500
    • test: 字节数为1838686.216253301,样本数为500
  • 下载大小: 224624524字节
  • 数据集大小: 1152253168.5118885字节

配置

  • 配置名称: default
  • 数据文件:
    • train: 路径为data/train-*
    • valid: 路径为data/valid-*
    • test: 路径为data/test-*
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