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ryota39/dpo-ja-45k

published by @ryota39

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
895
Last 30 days
21
Likes
-
Size
87.7 MB
Created on HF
2024-04-28
Age
2 years ago

Description

details

dataset_name

num_samples

how_to_make_data

license

llm-jp/hh-rlhf-12k-ja

12k

Anthropic社が開発初期段階のClaude-52Bを用いてユーザー入力と応答文を生成, chosen/rejectedは手作業で判定, 左記データセットをdeeplで翻訳

MIT

cyberagent/chatbot-arena-ja-calm2-7b-chat-experimental

29k

ユーザー入力:chatbot-arenaのユーザー入力, CC-BY 4.0のユーザ入力, 和訳:wmt21-dense-24-wide-en-x, MIT , 応答文生成: calm2-7b-chat, Apache-2.0, chosen/rejected判定: reward-model-deberta-v3-large-v2, MIT

cc-by-4.0

ryota39/boolq-3k-ja

3k

ユーザー入力:… See the full description on the dataset page: https://huggingface.co/datasets/ryota39/dpo-ja-45k.

Tags

license:cc-by-sa-3.0size_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


license: cc-by-sa-3.0

details

dataset_name num_samples how_to_make_data license
llm-jp/hh-rlhf-12k-ja 12k Anthropic社が開発初期段階のClaude-52Bを用いてユーザー入力と応答文を生成, chosen/rejectedは手作業で判定, 左記データセットをdeeplで翻訳 MIT
cyberagent/chatbot-arena-ja-calm2-7b-chat-experimental 29k ユーザー入力:chatbot-arenaのユーザー入力, CC-BY 4.0のユーザ入力, 和訳:wmt21-dense-24-wide-en-x, MIT , 応答文生成: calm2-7b-chat, Apache-2.0, chosen/rejected判定: reward-model-deberta-v3-large-v2, MIT cc-by-4.0
ryota39/boolq-3k-ja 3k ユーザー入力: Google検索エンジンへの実際の入力のログ, 応答文: wikipediaの記事から回答箇所を抜粋してアノテーターが手作業で付与, chosen/rejected判定: Yes/Noのみの回答をrejected,wikipediaの回答を引用した回答をchosenに指定, 翻訳: gemma-7b-it-bnb-4bit cc-by-sa3.0
ryota39/truthy-dpo-ja 1k 未記載, 翻訳: gemma-7b-it-bnb-4bit cc-by-4.0
total 45k cc-by-sa3.0

format

{
  'prompt': [
              {
                'from': 'human',
                'value': '生理食塩水と食塩水は同じものですか'
              }
            ],
  'chosen': 'いいえ。塩水は、水に塩化ナトリウムを溶かしたもので、医学的に様々な用途があります。患部へ塗布すると傷口の洗浄やコンタクトレンズの除去、ドライアイの治療に役立ちます。静脈注射すると下痢や糖尿病性 ketoacidosis の脱水症の治療に役立ちます。また、注射で投与する他の薬剤を薄めるのに使われます。',
  'rejected': 'いいえ。',
  'dataset_name': 'ryota39/boolq-3k-ja'
}

README history 5 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. 2024-06-15Update README.md452618c2.1 KB
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  2. 2024-04-28Upload dpo-45k-ja.json4d343b530 B
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  3. 2024-04-28Delete dpo-45k-ja.jsonee4c26030 B
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  4. 2024-04-28Upload dpo-45k-ja.json3922a1a30 B
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  5. 2024-04-28initial commit3923fb030 B
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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. 2024-06-16[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
cc-by-sa-3.0

Repository

Download the dataset

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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("ryota39/dpo-ja-45k")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="ryota39/dpo-ja-45k", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/ryota39/dpo-ja-45k
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