five

heegyu/UltraInteract_pair_longest_multiturn

收藏
Hugging Face2024-04-15 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/heegyu/UltraInteract_pair_longest_multiturn
下载链接
链接失效反馈
官方服务:
资源简介:
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: task dtype: string - name: dataset dtype: string - name: trajectory list: - name: from dtype: string - name: value dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: id dtype: string - name: parent_id dtype: string - name: __index_level_0__ dtype: string - name: __index_level_1__ dtype: int64 splits: - name: train num_bytes: 196675986 num_examples: 26658 download_size: 78610248 dataset_size: 196675986 --- # Dataset Card for "UltraInteract_pair_longest_multiturn" - Original Dataset: [openbmb/UltraInteract_pair](https://huggingface.co/datasets/openbmb/UltraInteract_pair) - Filtered multiturn instances and longest item for each reasoning tree. Data processing code: ```python from datasets import load_dataset, Dataset dataset = load_dataset("openbmb/UltraInteract_pair") df = dataset['train'].to_pandas() df["turns"] = df["trajectory"].apply(lambda x: len(x)) df = df[df.turns > 1] df = df.groupby("parent_id").apply(lambda x: x[x["turns"] == x["turns"].max()]) print(df) print(df.shape) df = df.drop(columns=["turns"]) dataset['train'] = Dataset.from_pandas(df) dataset.push_to_hub("heegyu/UltraInteract_pair_longest_multiturn") ```
提供机构:
heegyu
原始信息汇总

数据集概述

数据集名称

UltraInteract_pair_longest_multiturn

数据集配置

  • config_name: default
  • data_files:
    • split: train
    • path: data/train-*

数据集特征

  • task: string
  • dataset: string
  • trajectory:
    • from: string
    • value: string
  • chosen: string
  • rejected: string
  • id: string
  • parent_id: string
  • index_level_0: string
  • index_level_1: int64

数据集分割

  • name: train
  • num_bytes: 196675986
  • num_examples: 26658

数据集大小

  • download_size: 78610248
  • dataset_size: 196675986
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作