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nthakur/miracl-raft-instruct-v0.3

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Hugging Face2024-05-15 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/nthakur/miracl-raft-instruct-v0.3
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资源简介:
--- dataset_info: - config_name: ar features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 14982233 num_examples: 3468 download_size: 6045510 dataset_size: 14982233 - config_name: bn features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 11733406 num_examples: 1624 download_size: 3813737 dataset_size: 11733406 - config_name: en features: - name: outputs list: - name: model dtype: string - name: output dtype: string - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 10683026 num_examples: 2857 download_size: 5023962 dataset_size: 10683026 - config_name: es features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: 'null' splits: - name: train num_bytes: 11354520 num_examples: 2159 download_size: 5487056 dataset_size: 11354520 - config_name: fa features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: 'null' splits: - name: train num_bytes: 9649594 num_examples: 2104 download_size: 3663263 dataset_size: 9649594 - config_name: fi features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 7499617 num_examples: 2878 download_size: 3460902 dataset_size: 7499617 - config_name: fr features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: 'null' splits: - name: train num_bytes: 3949017 num_examples: 1137 download_size: 1814688 dataset_size: 3949017 - config_name: hi features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: 'null' splits: - name: train num_bytes: 7562791 num_examples: 1165 download_size: 2435919 dataset_size: 7562791 - config_name: id features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 16239206 num_examples: 4054 download_size: 0 dataset_size: 16239206 - config_name: ja features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 11660195 num_examples: 3466 download_size: 5364233 dataset_size: 11660195 - config_name: ko features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 2695533 num_examples: 859 download_size: 1216566 dataset_size: 2695533 - config_name: ru features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 21509628 num_examples: 4567 download_size: 9123295 dataset_size: 21509628 - config_name: sw features: - name: outputs list: - name: model dtype: string - name: output dtype: string - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 3513668 num_examples: 1866 download_size: 1352345 dataset_size: 3513668 - config_name: te features: - name: outputs list: - name: model dtype: string - name: output dtype: string - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 11932878 num_examples: 3283 download_size: 3701406 dataset_size: 11932878 - config_name: th features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: string splits: - name: train num_bytes: 16713912 num_examples: 2965 download_size: 0 dataset_size: 16713912 - config_name: zh features: - name: prompt dtype: string - name: query_id dtype: string - name: positive_ids sequence: string - name: negative_ids sequence: 'null' - name: outputs list: - name: model dtype: string - name: output dtype: string - name: tydiqa_answer sequence: 'null' splits: - name: train num_bytes: 4033934 num_examples: 1311 download_size: 2011543 dataset_size: 4033934 configs: - config_name: ar data_files: - split: train path: ar/train-* - config_name: bn data_files: - split: train path: bn/train-* - config_name: en data_files: - split: train path: en/train-* - config_name: es data_files: - split: train path: es/train-* - config_name: fa data_files: - split: train path: fa/train-* - config_name: fi data_files: - split: train path: fi/train-* - config_name: fr data_files: - split: train path: fr/train-* - config_name: hi data_files: - split: train path: hi/train-* - config_name: id data_files: - split: train path: id/train-* - config_name: ja data_files: - split: train path: ja/train-* - config_name: ko data_files: - split: train path: ko/train-* - config_name: ru data_files: - split: train path: ru/train-* - config_name: sw data_files: - split: train path: sw/train-* - config_name: te data_files: - split: train path: te/train-* - config_name: th data_files: - split: train path: th/train-* - config_name: zh data_files: - split: train path: zh/train-* --- # Dataset Card for "miracl-raft-instruct-v0.3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

The dataset includes configurations for multiple languages such as Arabic, Bengali, English, Spanish, Persian, Finnish, French, Hindi, Indonesian, Japanese, Korean, Russian, Swahili, Telugu, Thai, and Chinese. Each configuration details features like prompt, query_id, positive_ids, negative_ids, outputs (containing model and output), and tydiqa_answer. The dataset contains training splits with specifics on the number of examples and sizes in bytes. It is designed for tasks involving natural language processing and possibly question answering, given the presence of the tydiqa_answer feature.
提供机构:
nthakur
原始信息汇总

数据集概述

数据集配置

  • config_name: 数据集配置名称,包括 ar, bn, en, es, fa, fi, fr, hi, id, ja, ko, ru, sw, te, th, zh 等。

数据集特征

  • prompt: 字符串类型。
  • query_id: 字符串类型。
  • positive_ids: 字符串序列类型。
  • negative_ids: 字符串序列类型,部分配置为 null。
  • outputs: 列表类型,包含:
    • model: 字符串类型。
    • output: 字符串类型。
  • tydiqa_answer: 字符串序列类型,部分配置为 null。

数据集分割

  • train: 训练集,每个配置的训练集大小和示例数量不同。

数据集大小

  • 每个配置的训练集大小(num_bytes)和下载大小(download_size)不同,具体数值在每个配置下分别列出。

示例

  • ar: 训练集大小为14982233字节,包含3468个示例,下载大小为6045510字节。
  • bn: 训练集大小为11733406字节,包含1624个示例,下载大小为3813737字节。
  • en: 训练集大小为10683026字节,包含2857个示例,下载大小为5023962字节。
  • es: 训练集大小为11354520字节,包含2159个示例,下载大小为5487056字节。
  • fa: 训练集大小为9649594字节,包含2104个示例,下载大小为3663263字节。
  • fi: 训练集大小为7499617字节,包含2878个示例,下载大小为3460902字节。
  • fr: 训练集大小为3949017字节,包含1137个示例,下载大小为1814688字节。
  • hi: 训练集大小为7562791字节,包含1165个示例,下载大小为2435919字节。
  • id: 训练集大小为16239206字节,包含4054个示例,下载大小为0字节。
  • ja: 训练集大小为11660195字节,包含3466个示例,下载大小为5364233字节。
  • ko: 训练集大小为2695533字节,包含859个示例,下载大小为1216566字节。
  • ru: 训练集大小为21509628字节,包含4567个示例,下载大小为9123295字节。
  • sw: 训练集大小为3513668字节,包含1866个示例,下载大小为1352345字节。
  • te: 训练集大小为11932878字节,包含3283个示例,下载大小为3701406字节。
  • th: 训练集大小为16713912字节,包含2965个示例,下载大小为0字节。
  • zh: 训练集大小为4033934字节,包含1311个示例,下载大小为2011543字节。
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