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tasksource/hh-rlhf

published by @tasksource

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.6K
Last 30 days
141
Likes
2
Size
175.1 MB
Created on HF
2024-01-06
Age
2 years ago

Description

Dataset Card for "hh-rlhf"

More Information needed

Tags

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

README current version from Hugging Face


dataset_info:

  • config_name: harmless-base
    features:
    • name: chosen
      dtype: string
    • name: rejected
      dtype: string
      splits:
    • name: train
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      num_examples: 42537
    • name: test
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      num_examples: 2312
      download_size: 33114797
      dataset_size: 59472902
  • config_name: helpful-base
    features:
    • name: chosen
      dtype: string
    • name: rejected
      dtype: string
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    • name: train
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    • name: test
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      dataset_size: 70701027
  • config_name: helpful-online
    features:
    • name: chosen
      dtype: string
    • name: rejected
      dtype: string
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    • name: train
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    • name: test
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  • config_name: helpful-rejection-sampled
    features:
    • name: chosen
      dtype: string
    • name: rejected
      dtype: string
      splits:
    • name: train
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    • name: test
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      configs:
  • config_name: harmless-base
    data_files:
    • split: train
      path: harmless-base/train-*
    • split: test
      path: harmless-base/test-*
  • config_name: helpful-base
    data_files:
    • split: train
      path: helpful-base/train-*
    • split: test
      path: helpful-base/test-*
  • config_name: helpful-online
    data_files:
    • split: train
      path: helpful-online/train-*
    • split: test
      path: helpful-online/test-*
  • config_name: helpful-rejection-sampled
    data_files:
    • split: train
      path: helpful-rejection-sampled/train-*
    • split: test
      path: helpful-rejection-sampled/test-*

Dataset Card for "hh-rlhf"

More Information needed

README history 13 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. 2024-01-06Upload README.md with huggingface_hubcf7f6941.9 KB
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  2. 2024-01-06Upload harmless-base/test-00000-of-00001-2c03462ed24d08cc.parquet with huggin...618d5c61.5 KB
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  3. 2024-01-06Upload harmless-base/train-00000-of-00001-ffaa6789136c64c5.parquet with huggi...07a16b91.5 KB
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  4. 2024-01-06Upload README.md with huggingface_hubba50d6b1.5 KB
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  5. 2024-01-06Upload helpful-base/test-00000-of-00001-9bdd1cd21a09a5bf.parquet with hugging...f7b0ada1.1 KB
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  6. 2024-01-06Upload helpful-base/train-00000-of-00001-c67725a773942959.parquet with huggin...f24a5a31.1 KB
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  7. 2024-01-06Upload README.md with huggingface_hub881c1721.1 KB
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  8. 2024-01-06Upload helpful-rejection-sampled/test-00000-of-00001-0901dfc4869c42cb.parquet...1a1c8af634 B
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  9. 2024-01-06Upload helpful-rejection-sampled/train-00000-of-00001-5a493d2ddf9d7472.parque...c9da3b4634 B
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  10. 2024-01-06Upload README.md with huggingface_hub29189ef634 B
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  11. 2024-01-06Upload helpful-online/test-00000-of-00001-92194d568953dad8.parquet with huggi...b5f55420 B
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  12. 2024-01-06Upload helpful-online/train-00000-of-00001-e84c96913bc24042.parquet with hugg...5e6858a0 B
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  13. 2024-01-06initial commit58194850 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2024-01-07[bot] Conversion to Parquetopen1 💬#1
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Repository

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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("tasksource/hh-rlhf")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="tasksource/hh-rlhf", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/tasksource/hh-rlhf
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