extract 0 0 0

aarondtucker/helpful-all

published by @aarondtucker

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
809
Last 30 days
24
Likes
-
Size
93.6 MB
Created on HF
2024-05-24
Age
2 years ago

Description

Subsampled from Anthropic/hh-rlhf, selected to have <=300 prompt and <=100 response tokens according to Llama2-7b tokenizer.

dataset_info:

features:

- name: chosen

dtype: string

- name: rejected

dtype: string

- name: prompt

dtype: string

- name: chosen_full

dtype: string

- name: rejected_full

dtype: string

- name: chosen_response

dtype: string

- name: rejected_response

dtype: string

- name: task

dtype: string

splits:

- name:… See the full description on the dataset page: https://huggingface.co/datasets/aarondtucker/helpful-all.

Tags

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

README current version from Hugging Face

Subsampled from Anthropic/hh-rlhf, selected to have <=300 prompt and <=100 response tokens according to Llama2-7b tokenizer.


dataset_info:
features:

  • name: chosen
    dtype: string
  • name: rejected
    dtype: string
  • name: prompt
    dtype: string
  • name: chosen_full
    dtype: string
  • name: rejected_full
    dtype: string
  • name: chosen_response
    dtype: string
  • name: rejected_response
    dtype: string
  • name: task
    dtype: string
    splits:
  • name: train
    num_bytes: 305525775.8372441
    num_examples: 53558
  • name: test
    num_bytes: 16121290.634615384
    num_examples: 2812
    download_size: 98119484
    dataset_size: 321647066.47185946
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
    • split: test
      path: data/test-*

README history 3 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. 2024-06-02Update README.md8fa77cf814 B
    Loading...
  2. 2024-05-24Upload dataset370a259686 B
    Loading...
  3. 2024-05-24initial commitd3e3a1a0 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. 2024-06-03[bot] Conversion to Parquetopen1 💬#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("aarondtucker/helpful-all")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="aarondtucker/helpful-all", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/aarondtucker/helpful-all
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