heal 0 0 0

HuggingFaceH4/orca_dpo_pairs_no_system_prompt

Name: HuggingFaceH4/orca_dpo_pairs_no_system_prompt
Creator: HuggingFaceH4
Published: 2024-01-15T14:40:42

published by @HuggingFaceH4

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

821

Last 30 days

Likes

Size

29.1 MB

Created on HF

2024-01-15

Age

2 years ago

README current version from Hugging Face

dataset_info:
features:

name: chosen
list:
- name: content
  dtype: string
- name: role
  dtype: string
name: rejected
list:
- name: content
  dtype: string
- name: role
  dtype: string
name: prompt
dtype: string
splits:
name: train_prefs
num_bytes: 52139704
num_examples: 12359
name: test_prefs
num_bytes: 2009711
num_examples: 500
download_size: 30509701
dataset_size: 54149415
configs:
config_name: default
data_files:
- split: train_prefs
  path: data/train_prefs-*
- split: test_prefs
  path: data/test_prefs-*

README history 2 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.

2024-01-15Upload datasetee8b8a6624 B
Loading...
2024-01-15initial commit584ddcd0 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.

2024-01-16[bot] Conversion to Parquetopen1 💬#1
Loading...

Continue on Hugging Face →

Related datasets same stage · heal

Read further

Community best practices (healing)

4 rules on DPO/ORPO, GSM8K lag, CHES filtering, and what heal does not do.

M4 - Abliterate then heal

Two-stage pipeline. DPO healing recovers benchmarks.

The politics of dataset curation

Whose preferences are baked into the healing mix, and why it matters.

Non-English abliteration communities

The Russian slop-removal framing and non-English healing corpora.

Repository

DIR data 2 files FILE .gitattributes FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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/orca_dpo_pairs_no_system_prompt")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="HuggingFaceH4/orca_dpo_pairs_no_system_prompt", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/HuggingFaceH4/orca_dpo_pairs_no_system_prompt

Browse repository on Hugging Face ->