extract 0 0 0

germank/hh-rlhf_with_features_flan_t5_large_rx

published by @germank

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
846
Last 30 days
21
Likes
-
Size
15.6 MB
Created on HF
2023-07-11
Age
3 years ago

Description

Dataset Card for "hh-rlhf_with_features_flan_t5_large_rx"

More Information needed

Tags

size_categories:10K<n<100Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: chosen
    dtype: string
  • name: rejected
    dtype: string
  • name: helpfulness_chosen
    dtype: int64
  • name: helpfulness_rejected
    dtype: int64
  • name: specificity_chosen
    dtype: int64
  • name: specificity_rejected
    dtype: int64
  • name: intent_chosen
    dtype: int64
  • name: intent_rejected
    dtype: int64
  • name: factuality_chosen
    dtype: int64
  • name: factuality_rejected
    dtype: int64
  • name: easy-to-understand_chosen
    dtype: int64
  • name: easy-to-understand_rejected
    dtype: int64
  • name: relevance_chosen
    dtype: int64
  • name: relevance_rejected
    dtype: int64
  • name: readability_chosen
    dtype: int64
  • name: readability_rejected
    dtype: int64
  • name: enough-detail_chosen
    dtype: int64
  • name: enough-detail_rejected
    dtype: int64
  • name: biased:_chosen
    dtype: int64
  • name: biased:_rejected
    dtype: int64
  • name: fail-to-consider-individual-preferences_chosen
    dtype: int64
  • name: fail-to-consider-individual-preferences_rejected
    dtype: int64
  • name: repetetive_chosen
    dtype: int64
  • name: repetetive_rejected
    dtype: int64
  • name: fail-to-consider-context_chosen
    dtype: int64
  • name: fail-to-consider-context_rejected
    dtype: int64
  • name: too-long_chosen
    dtype: int64
  • name: too-long_rejected
    dtype: int64
  • name: human
    dtype: string
  • name: assistant_chosen
    dtype: string
  • name: assistant_rejected
    dtype: string
  • name: log_score_chosen
    dtype: float64
  • name: log_score_rejected
    dtype: float64
  • name: model_A_chosen
    dtype: float64
  • name: model_A_rejected
    dtype: float64
  • name: model_B_chosen
    dtype: float64
  • name: model_B_rejected
    dtype: float64
  • name: labels
    dtype: string
    splits:
  • name: train
    num_bytes: 14740792
    num_examples: 9574
  • name: test
    num_bytes: 14684717
    num_examples: 9574
    download_size: 16376251
    dataset_size: 29425509

Dataset Card for "hh-rlhf_with_features_flan_t5_large_rx"

More Information needed

README history 9 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. 2023-07-11Upload README.md with huggingface_hub22f16472.2 KB
    Loading...
  2. 2023-07-11Delete data/test-00000-of-00001-84b624ca71932e93.parquet with huggingface_hub3fca9402.1 KB
    Loading...
  3. 2023-07-11Upload data/test-00000-of-00001-346f0270edb4d388.parquet with huggingface_hub5aa7a2d2.1 KB
    Loading...
  4. 2023-07-11Delete data/train-00000-of-00001-57c52899649cab2c.parquet with huggingface_hub3d4e52a2.1 KB
    Loading...
  5. 2023-07-11Upload data/train-00000-of-00001-a3203ef645475869.parquet with huggingface_hubc550dd92.1 KB
    Loading...
  6. 2023-07-11Upload README.md with huggingface_hub80d039b2.1 KB
    Loading...
  7. 2023-07-11Upload data/test-00000-of-00001-84b624ca71932e93.parquet with huggingface_hub6e58a610 B
    Loading...
  8. 2023-07-11Upload data/train-00000-of-00001-57c52899649cab2c.parquet with huggingface_hub6acb26c0 B
    Loading...
  9. 2023-07-11initial commit0ff21590 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 · 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. 2023-10-02PRreadme: add language tagopen1 💬#1
    Loading...

Related datasets same stage · extract

Read further

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("germank/hh-rlhf_with_features_flan_t5_large_rx")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="germank/hh-rlhf_with_features_flan_t5_large_rx", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/germank/hh-rlhf_with_features_flan_t5_large_rx
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