metadata

dataset_info:
  features:
    - name: instruction
      dtype: string
    - name: input
      dtype: string
    - name: output
      dtype: string
    - name: id
      dtype: float64
  splits:
    - name: train
      num_bytes: 2487281447
      num_examples: 3229975
  download_size: 1513934252
  dataset_size: 2487281447
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: apache-2.0
task_categories:
  - text-generation
  - question-answering
language:
  - en
  - zh
tags:
  - cot
  - conversational
pretty_name: cot reformatted
size_categories:
  - 1M<n<10M

Dataset Card for "CoT_reformatted"

This dataset is reformatted from: QingyiSi/Alpaca-CoT

All credit goes there. Thanks to QingyiSi for the work in consolidating many diverse sources for comparison and cross-file analysis.

There were some issues loading files from that dataset for a testing project.

I extracted the following data files for this subset:

alpaca_data_cleaned
CoT_data
firefly
instruct
alpaca_gpt4_data
dolly
GPTeacher
thoughtsource
finance_en
instinwild_en