extract 0 0 0

HuggingFaceH4/helpful-anthropic-raw

published by @HuggingFaceH4

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
2.2K
Last 30 days
71
Likes
7
Size
19.9 MB
Created on HF
2023-02-15
Age
3 years ago

Description

Dataset Card for "helpful-raw-anthropic"

This is a dataset derived from Anthropic's HH-RLHF data of instructions and model-generated demonstrations. We combined training splits from the following two subsets:

helpful-base

helpful-online

To convert the multi-turn dialogues into (instruction, demonstration) pairs, just the first response from the Assistant was included. This heuristic captures the most obvious answers, but overlooks more complex questions where multiple turns… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/helpful-anthropic-raw.

Tags

license:mitsize_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:ushuman-feedback

README current version from Hugging Face


dataset_info:
features:

  • name: instruction
    dtype: string
  • name: demonstration
    dtype: string
    splits:
  • name: train
    num_bytes: 34540085.04363476
    num_examples: 65499
    download_size: 0
    dataset_size: 34540085.04363476
    license: mit
    pretty_name: Helpful Raw Anthropic
    tags:
  • human-feedback

Dataset Card for "helpful-raw-anthropic"

This is a dataset derived from Anthropic's HH-RLHF data of instructions and model-generated demonstrations. We combined training splits from the following two subsets:

  • helpful-base
  • helpful-online

To convert the multi-turn dialogues into (instruction, demonstration) pairs, just the first response from the Assistant was included. This heuristic captures the most obvious answers, but overlooks more complex questions where multiple turns were required to get a helpful response. Some additional filtering is likely required (e.g. defining a minimun length or computing ROUGE-L scores with the instruction/demonstration).

README history 16 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. 2023-02-20Upload README.md with huggingface_hub1b30a0d1 KB
    Loading...
  2. 2023-02-19Upload README.md with huggingface_hub93c130a1 KB
    Loading...
  3. 2023-02-19Delete data/train-00000-of-00001-d29b3f737cc5ab89.parquet with huggingface_hub1cd43b31 KB
    Loading...
  4. 2023-02-19Upload data/train-00000-of-00001-03bd2a0dfcf4b1a5.parquet with huggingface_hub0a0bb0f1 KB
    Loading...
  5. 2023-02-15Update README.md13e73231 KB
    Loading...
  6. 2023-02-15Update README.md9a7d75a1018 B
    Loading...
  7. 2023-02-15Update README.mda44cd2a970 B
    Loading...
  8. 2023-02-15Upload README.md with huggingface_hubf275926416 B
    Loading...
  9. 2023-02-15Delete data/train-00000-of-00001-f608b9c3e0f22d05.parquet with huggingface_hub6ca84b4489 B
    Loading...
  10. 2023-02-15Upload data/train-00000-of-00001-d29b3f737cc5ab89.parquet with huggingface_hub400e807489 B
    Loading...
  11. 2023-02-15Upload README.md with huggingface_hub47add57489 B
    Loading...
  12. 2023-02-15Delete data/train-00000-of-00001-6fe1bd91f14ca5f4.parquet with huggingface_hube153d2b367 B
    Loading...
  13. 2023-02-15Upload data/train-00000-of-00001-f608b9c3e0f22d05.parquet with huggingface_hubf641ada367 B
    Loading...
  14. 2023-02-15Upload README.md with huggingface_hubd236b0a367 B
    Loading...
  15. 2023-02-15Upload data/train-00000-of-00001-6fe1bd91f14ca5f4.parquet with huggingface_hub5303baf0 B
    Loading...
  16. 2023-02-15initial commit3c5b1a70 B
    Loading...

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 · 2 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. 2024-08-25Use for research purposes?open2 💬#1
    Loading...

Related datasets same stage · extract

Read further

Metadata

License
mit

Repository

Download the dataset

0

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("HuggingFaceH4/helpful-anthropic-raw")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="HuggingFaceH4/helpful-anthropic-raw", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/HuggingFaceH4/helpful-anthropic-raw
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration