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kenhktsui/cosmopedia_quality_score_v2

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Hugging Face2024-05-26 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/kenhktsui/cosmopedia_quality_score_v2
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资源简介:
--- dataset_info: - config_name: auto_math_text features: - name: prompt dtype: string - name: text_token_length dtype: int64 - name: text dtype: string - name: seed_data dtype: string - name: format dtype: string - name: audience dtype: string - name: quality_score_v2 dtype: float64 splits: - name: train num_bytes: 8779811653 num_examples: 1949895 download_size: 4458739426 dataset_size: 8779811653 - config_name: khanacademy features: - name: prompt dtype: string - name: text_token_length dtype: int64 - name: text dtype: string - name: seed_data dtype: string - name: format dtype: string - name: audience dtype: string - name: quality_score_v2 dtype: float64 splits: - name: train num_bytes: 122159143 num_examples: 24123 download_size: 48951116 dataset_size: 122159143 - config_name: openstax features: - name: text_token_length dtype: int64 - name: prompt dtype: string - name: text dtype: string - name: seed_data dtype: string - name: format dtype: string - name: audience dtype: string - name: quality_score_v2 dtype: float64 splits: - name: train num_bytes: 668848106 num_examples: 126332 download_size: 348252139 dataset_size: 668848106 - config_name: stanford features: - name: text_token_length dtype: int64 - name: prompt dtype: string - name: text dtype: string - name: seed_data dtype: string - name: format dtype: string - name: audience dtype: string - name: quality_score_v2 dtype: float64 splits: - name: train num_bytes: 6349451698 num_examples: 1020024 download_size: 3309575750 dataset_size: 6349451698 - config_name: stories features: - name: text dtype: string - name: prompt dtype: string - name: text_token_length dtype: int64 - name: seed_data dtype: string - name: format dtype: string - name: audience dtype: string - name: quality_score_v2 dtype: float64 splits: - name: train num_bytes: 21354683360 num_examples: 4992964 download_size: 11894225941 dataset_size: 21354683360 - config_name: web_samples_v1 features: - name: text_token_length dtype: int64 - name: prompt dtype: string - name: text dtype: string - name: seed_data dtype: string - name: format dtype: string - name: audience dtype: string - name: quality_score_v2 dtype: float64 splits: - name: train num_bytes: 69175137079 num_examples: 12426348 download_size: 39069495077 dataset_size: 69175137079 - config_name: web_samples_v2 features: - name: text_token_length dtype: int64 - name: prompt dtype: string - name: text dtype: string - name: seed_data dtype: string - name: format dtype: string - name: audience dtype: string - name: quality_score_v2 dtype: float64 splits: - name: train num_bytes: 58794569875 num_examples: 10345867 download_size: 32737483363 dataset_size: 58794569875 - config_name: wikihow features: - name: text_token_length dtype: int64 - name: prompt dtype: string - name: text dtype: string - name: seed_data dtype: string - name: format dtype: string - name: audience dtype: string - name: quality_score_v2 dtype: float64 splits: - name: train num_bytes: 894154056 num_examples: 179191 download_size: 503349411 dataset_size: 894154056 configs: - config_name: auto_math_text data_files: - split: train path: auto_math_text/train-* - config_name: khanacademy data_files: - split: train path: khanacademy/train-* - config_name: openstax data_files: - split: train path: openstax/train-* - config_name: stanford data_files: - split: train path: stanford/train-* - config_name: stories data_files: - split: train path: stories/train-* - config_name: web_samples_v1 data_files: - split: train path: web_samples_v1/train-* - config_name: web_samples_v2 data_files: - split: train path: web_samples_v2/train-* - config_name: wikihow data_files: - split: train path: wikihow/train-* --- Adding [quality score v2](https://huggingface.co/kenhktsui/llm-data-textbook-quality-fasttext-classifier-v2) to [HuggingFaceTB/cosmopedia](https://huggingface.co/datasets/HuggingFaceTB/cosmopedia)
提供机构:
kenhktsui
原始信息汇总

数据集概述

1. auto_math_text

  • 特征:
    • prompt: 字符串
    • text_token_length: 整数
    • text: 字符串
    • seed_data: 字符串
    • format: 字符串
    • audience: 字符串
    • quality_score_v2: 浮点数
  • 分割:
    • train: 1949895个样本,大小8779811653字节
  • 下载大小: 4458739426字节
  • 数据集大小: 8779811653字节

2. khanacademy

  • 特征:
    • prompt: 字符串
    • text_token_length: 整数
    • text: 字符串
    • seed_data: 字符串
    • format: 字符串
    • audience: 字符串
    • quality_score_v2: 浮点数
  • 分割:
    • train: 24123个样本,大小122159143字节
  • 下载大小: 48951116字节
  • 数据集大小: 122159143字节

3. openstax

  • 特征:
    • text_token_length: 整数
    • prompt: 字符串
    • text: 字符串
    • seed_data: 字符串
    • format: 字符串
    • audience: 字符串
    • quality_score_v2: 浮点数
  • 分割:
    • train: 126332个样本,大小668848106字节
  • 下载大小: 348252139字节
  • 数据集大小: 668848106字节

4. stanford

  • 特征:
    • text_token_length: 整数
    • prompt: 字符串
    • text: 字符串
    • seed_data: 字符串
    • format: 字符串
    • audience: 字符串
    • quality_score_v2: 浮点数
  • 分割:
    • train: 1020024个样本,大小6349451698字节
  • 下载大小: 3309575750字节
  • 数据集大小: 6349451698字节

5. stories

  • 特征:
    • text: 字符串
    • prompt: 字符串
    • text_token_length: 整数
    • seed_data: 字符串
    • format: 字符串
    • audience: 字符串
    • quality_score_v2: 浮点数
  • 分割:
    • train: 4992964个样本,大小21354683360字节
  • 下载大小: 11894225941字节
  • 数据集大小: 21354683360字节

6. web_samples_v1

  • 特征:
    • text_token_length: 整数
    • prompt: 字符串
    • text: 字符串
    • seed_data: 字符串
    • format: 字符串
    • audience: 字符串
    • quality_score_v2: 浮点数
  • 分割:
    • train: 12426348个样本,大小69175137079字节
  • 下载大小: 39069495077字节
  • 数据集大小: 69175137079字节

7. web_samples_v2

  • 特征:
    • text_token_length: 整数
    • prompt: 字符串
    • text: 字符串
    • seed_data: 字符串
    • format: 字符串
    • audience: 字符串
    • quality_score_v2: 浮点数
  • 分割:
    • train: 10345867个样本,大小58794569875字节
  • 下载大小: 32737483363字节
  • 数据集大小: 58794569875字节

8. wikihow

  • 特征:
    • text_token_length: 整数
    • prompt: 字符串
    • text: 字符串
    • seed_data: 字符串
    • format: 字符串
    • audience: 字符串
    • quality_score_v2: 浮点数
  • 分割:
    • train: 179191个样本,大小894154056字节
  • 下载大小: 503349411字节
  • 数据集大小: 894154056字节
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