遇见数据集

Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo2_100_kl_0.1_prm_160m_thr_1.0_seed_2

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Hugging Face2024-03-21 更新2024-06-11 收录
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资源简介:

--- dataset_info: config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: preference dtype: int64 - name: output_1 dtype: string - name: output_2 dtype: string - name: reward_model_prompt_format dtype: string - name: gen_prompt_format dtype: string - name: gen_kwargs struct: - name: do_sample dtype: bool - name: max_new_tokens dtype: int64 - name: pad_token_id dtype: int64 - name: top_k dtype: int64 - name: top_p dtype: float64 - name: reward_1 dtype: float64 - name: reward_2 dtype: float64 - name: n_samples dtype: int64 - name: reject_select dtype: string - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: index dtype: int64 - name: filtered_epoch dtype: int64 - name: gen_reward dtype: float64 - name: gen_response dtype: string splits: - name: epoch_0 num_bytes: 43551536 num_examples: 18929 - name: epoch_1 num_bytes: 44128474 num_examples: 18929 - name: epoch_2 num_bytes: 44191785 num_examples: 18929 - name: epoch_3 num_bytes: 44237515 num_examples: 18929 - name: epoch_4 num_bytes: 44265700 num_examples: 18929 - name: epoch_5 num_bytes: 44284519 num_examples: 18929 - name: epoch_6 num_bytes: 44299908 num_examples: 18929 - name: epoch_7 num_bytes: 44311706 num_examples: 18929 - name: epoch_8 num_bytes: 44321409 num_examples: 18929 - name: epoch_9 num_bytes: 44322380 num_examples: 18929 - name: epoch_10 num_bytes: 44326369 num_examples: 18929 - name: epoch_11 num_bytes: 44324769 num_examples: 18929 - name: epoch_12 num_bytes: 44329932 num_examples: 18929 - name: epoch_13 num_bytes: 44328118 num_examples: 18929 - name: epoch_14 num_bytes: 44329056 num_examples: 18929 - name: epoch_15 num_bytes: 44331421 num_examples: 18929 - name: epoch_16 num_bytes: 44332346 num_examples: 18929 - name: epoch_17 num_bytes: 44334249 num_examples: 18929 - name: epoch_18 num_bytes: 44335029 num_examples: 18929 - name: epoch_19 num_bytes: 44333272 num_examples: 18929 - name: epoch_20 num_bytes: 44333461 num_examples: 18929 - name: epoch_21 num_bytes: 44336853 num_examples: 18929 - name: epoch_22 num_bytes: 44333147 num_examples: 18929 - name: epoch_23 num_bytes: 44334757 num_examples: 18929 - name: epoch_24 num_bytes: 44335929 num_examples: 18929 - name: epoch_25 num_bytes: 44332279 num_examples: 18929 - name: epoch_26 num_bytes: 44334818 num_examples: 18929 - name: epoch_27 num_bytes: 44337605 num_examples: 18929 - name: epoch_28 num_bytes: 44334320 num_examples: 18929 - name: epoch_29 num_bytes: 44337029 num_examples: 18929 download_size: 699532857 dataset_size: 1328569691 configs: - config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 data_files: - split: epoch_0 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_0-* - split: epoch_1 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_1-* - split: epoch_2 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_2-* - split: epoch_3 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_3-* - split: epoch_4 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_4-* - split: epoch_5 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_5-* - split: epoch_6 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_6-* - split: epoch_7 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_7-* - split: epoch_8 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_8-* - split: epoch_9 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_9-* - split: epoch_10 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_10-* - split: epoch_11 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_11-* - split: epoch_12 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_12-* - split: epoch_13 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_13-* - split: epoch_14 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_14-* - split: epoch_15 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_15-* - split: epoch_16 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_16-* - split: epoch_17 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_17-* - split: epoch_18 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_18-* - split: epoch_19 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_19-* - split: epoch_20 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_20-* - split: epoch_21 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_21-* - split: epoch_22 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_22-* - split: epoch_23 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_23-* - split: epoch_24 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_24-* - split: epoch_25 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_25-* - split: epoch_26 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_26-* - split: epoch_27 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_27-* - split: epoch_28 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_28-* - split: epoch_29 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_29-* ---

提供机构:
Mitsuki-Sakamoto
原始信息汇总

数据集概述

数据集配置信息

  • 配置名称: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1

数据集特征

  • instruction: 数据类型为字符串
  • input: 数据类型为字符串
  • output: 数据类型为字符串
  • preference: 数据类型为int64
  • output_1: 数据类型为字符串
  • output_2: 数据类型为字符串
  • reward_model_prompt_format: 数据类型为字符串
  • gen_prompt_format: 数据类型为字符串
  • gen_kwargs: 结构化数据,包含以下字段:
    • do_sample: 数据类型为布尔值
    • max_new_tokens: 数据类型为int64
    • pad_token_id: 数据类型为int64
    • top_k: 数据类型为int64
    • top_p: 数据类型为float64
  • reward_1: 数据类型为float64
  • reward_2: 数据类型为float64
  • n_samples: 数据类型为int64
  • reject_select: 数据类型为字符串
  • prompt: 数据类型为字符串
  • chosen: 数据类型为字符串
  • rejected: 数据类型为字符串
  • index: 数据类型为int64
  • filtered_epoch: 数据类型为int64
  • gen_reward: 数据类型为float64
  • gen_response: 数据类型为字符串

数据集分割

  • 分割名称: 从epoch_0到epoch_29
  • 每个分割的示例数量: 18929
  • 每个分割的字节数: 从43551536到44337605不等

数据集大小

  • 下载大小: 699532857字节
  • 数据集总大小: 1328569691字节

数据文件配置

  • 配置名称: 同数据集配置名称
  • 数据文件路径: 每个分割对应的路径,格式为alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_*-*,其中*代表分割编号。
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