extract 0 0 0

xiaodongguaAIGC/awesome-dpo

Name: xiaodongguaAIGC/awesome-dpo
Creator: xiaodongguaAIGC
Published: 2024-06-03T13:28:41

published by @xiaodongguaAIGC

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

1.5K

Last 30 days

151

Likes

Size

274.5 MB

Created on HF

2024-06-03

Age

2 years ago

Description

data source from

data_name1 = 'xiaodongguaAIGC/CValues_DPO' # 110k, 30k

data_name2 = 'Anthropic/hh-rlhf' # 160k

data_name3 = 'PKU-Alignment/PKU-SafeRLHF-30K' # 30k filter both unsafe dataset

data_name4 = 'wenbopan/Chinese-dpo-pairs' # 10k

特别处理：

hh-rlhf里删除了第一个###Question

saferlhf里，去除了都不安全回复

README current version from Hugging Face

language:

zh
en
size_categories:
100K<n<1M
task_categories:
text-generation
dataset_info:
features:
- name: prompt
  dtype: string
- name: chosen
  dtype: string
- name: rejected
  dtype: string
  splits:
- name: train
  num_bytes: 453243598
  num_examples: 302011
  download_size: 287803890
  dataset_size: 453243598
  configs:
config_name: default
data_files:
- split: train
  path: data/train-*
  tags:
RLHF
DPO
Reward
PPO
Preference
finetune
safety
dpo

data source from

data_name1 = 'xiaodongguaAIGC/CValues_DPO'    # 110k, 30k
data_name2 = 'Anthropic/hh-rlhf'              # 160k
data_name3 = 'PKU-Alignment/PKU-SafeRLHF-30K' # 30k filter both unsafe dataset
data_name4 = 'wenbopan/Chinese-dpo-pairs'     # 10k

特别处理：
hh-rlhf里删除了第一个###Question
saferlhf里，去除了都不安全回复

README history 6 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.

2024-07-03Librarian Bot: Add dpo tag (#2)e1bf189886 B
Loading...
2024-06-04Update README.mdb104ff6880 B
Loading...
2024-06-03Update README.mda310eab729 B
Loading...
2024-06-03Update README.md60db399630 B
Loading...
2024-06-03Upload datasetc422607356 B
Loading...
2024-06-03initial commit729dcaa0 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 2 threads · 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.

2024-07-01PRLibrarian Bot: Add dpo tagmerged1 💬#2
Loading...
2024-06-04[bot] Conversion to Parquetopen1 💬#1
Loading...

Continue on Hugging Face →

Related datasets same stage · extract

Read further

Community best practices (extraction)

5 rules the field converged on for building the pair.

Building your own extraction pair

When the reference pair is not enough. Sizing, framing, and evaluation.

Datasets that shaped abliteration

The five corpora that did most of the work.

Non-English abliteration communities

How Chinese, Russian, Japanese, and Korean practitioners build extraction pairs.

Repository

DIR data 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("xiaodongguaAIGC/awesome-dpo")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="xiaodongguaAIGC/awesome-dpo", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/xiaodongguaAIGC/awesome-dpo

Browse repository on Hugging Face ->