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---
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
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