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heegyu/hh-rlhf-vicuna-format

published by @heegyu

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
3.5K
Last 30 days
52
Likes
4
Size
122.6 MB
Created on HF
2023-08-28
Age
3 years ago

Description

Original data is Antrophic/hh-rlhf. It was converted to Vicuna format

sample

{'chosen': {'from': 'gpt',

'value': 'A horseshoe is usually made out of metal and is about 3 to 3.5 inches long and around 1 inch thick. The horseshoe should also have a 2 inch by 3 inch flat at the bottom where the rubber meets the metal. We also need two stakes and six horseshoes.'},

'rejected': {'from': 'gpt',

'value': 'Horseshoes are either metal or plastic discs. The horseshoes come in different weights, and… See the full description on the dataset page: https://huggingface.co/datasets/heegyu/hh-rlhf-vicuna-format.

Tags

size_categories:100K<n<1Mformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


configs:

  • config_name: default
    data_files:
    • split: train
      path: data/train-*
    • split: test
      path: data/test-*
      dataset_info:
      features:
    • name: chosen
      struct:
      • name: from
        dtype: string
      • name: value
        dtype: string
    • name: rejected
      struct:
      • name: from
        dtype: string
      • name: value
        dtype: string
    • name: source
      dtype: string
    • name: context
      list:
      • name: from
        dtype: string
      • name: value
        dtype: string
    • name: instruction
      struct:
      • name: from
        dtype: string
      • name: value
        dtype: string
        splits:
    • name: train
      num_bytes: 210193081
      num_examples: 160800
    • name: test
      num_bytes: 11248194
      num_examples: 8552
      download_size: 128509060
      dataset_size: 221441275

Original data is Antrophic/hh-rlhf. It was converted to Vicuna format

sample

{'chosen': {'from': 'gpt',
  'value': 'A horseshoe is usually made out of metal and is about 3 to 3.5 inches long and around 1 inch thick. The horseshoe should also have a 2 inch by 3 inch flat at the bottom where the rubber meets the metal. We also need two stakes and six horseshoes.'},
 'rejected': {'from': 'gpt',
  'value': 'Horseshoes are either metal or plastic discs. The horseshoes come in different weights, and the lighter ones are easier to throw, so they are often the standard for beginning players.'},
 'source': 'helpful-base',
 'context': [{'from': 'human',
   'value': 'Hi, I want to learn to play horseshoes. Can you teach me?'},
  {'from': 'gpt',
   'value': 'I can, but maybe I should begin by telling you that a typical game consists of 2 players and 6 or 8 horseshoes.'}],
 'instruction': {'from': 'human',
  'value': 'Okay. What else is needed to play, and what are the rules?'}}

source columns has 4 values

{'harmless-base',
 'helpful-base',
 'helpful-online',
 'helpful-rejection-sampled'}

In context, chosen, rejected column, 'from' key is either 'human' or 'gpt'.

README history 15 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2023-09-06Update README.mdb77f1f12 KB
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  2. 2023-08-31Upload README.md with huggingface_hub98aee8d981 B
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  3. 2023-08-31Delete data/test-00000-of-00001-07eb74243d80e61e.parquet with huggingface_hub5416720946 B
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  4. 2023-08-31Upload data/test-00000-of-00001-a411eb3a6c6e6483.parquet with huggingface_hub5a45ff7946 B
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  5. 2023-08-31Delete data/train-00000-of-00001-f1ce930491cdef91.parquet with huggingface_huba3420d5946 B
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  6. 2023-08-31Upload data/train-00000-of-00001-64e14feb519ae23e.parquet with huggingface_hub7585e4e946 B
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  8. 2023-08-31Delete data/test-00000-of-00001-f58a947a1d20049c.parquet with huggingface_hub4ec7a0e946 B
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  9. 2023-08-31Upload data/test-00000-of-00001-07eb74243d80e61e.parquet with huggingface_hub5d1903d946 B
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  10. 2023-08-31Delete data/train-00000-of-00001-092dcece4e87dd8a.parquet with huggingface_hubb317c2a946 B
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  11. 2023-08-31Upload data/train-00000-of-00001-f1ce930491cdef91.parquet with huggingface_hubb8e2b0e946 B
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  12. 2023-08-28Upload README.md with huggingface_hubb57496c946 B
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  13. 2023-08-28Upload data/test-00000-of-00001-f58a947a1d20049c.parquet with huggingface_hubf85eb2a0 B
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  14. 2023-08-28Upload data/train-00000-of-00001-092dcece4e87dd8a.parquet with huggingface_hubcb401510 B
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  15. 2023-08-28initial commit6e0d0d60 B
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Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("heegyu/hh-rlhf-vicuna-format")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="heegyu/hh-rlhf-vicuna-format", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/heegyu/hh-rlhf-vicuna-format
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