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geniacllm/hh-rlhf-12k-ja-askllm-v1

published by @geniacllm

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2024-05-25
Age
2 years ago

Description

hh-rlhf-12k-ja-askllm-v1

データセット llm-jp/hh-rlhf-12k-ja に対して、 Ask-LLM 手法でスコア付けしたデータセットです。

元データセットのカラムに加え askllm_score というカラムが追加されており、ここに Ask-LLM のスコアが格納されています。

Ask-LLM でスコア付けに使用した LLM は Rakuten/RakutenAI-7B-instruct で、プロンプトは以下の通りです。

###

{data}

###

Does the previous paragraph demarcated within ### and ### contain informative signal for pre-training a large-language model? An informative datapoint should be well-formatted, contain some usable knowledge of the world, and strictly… See the full description on the dataset page: https://huggingface.co/datasets/geniacllm/hh-rlhf-12k-ja-askllm-v1.

Tags

license:mitsize_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantarxiv:2402.09668region:us

README current version from Hugging Face


license: mit

hh-rlhf-12k-ja-askllm-v1

データセット llm-jp/hh-rlhf-12k-ja に対して、 Ask-LLM 手法でスコア付けしたデータセットです。

元データセットのカラムに加え askllm_score というカラムが追加されており、ここに Ask-LLM のスコアが格納されています。

Ask-LLM でスコア付けに使用した LLM は Rakuten/RakutenAI-7B-instruct で、プロンプトは以下の通りです。

###
{data}
###

Does the previous paragraph demarcated within ### and ### contain informative signal for pre-training a large-language model? An informative datapoint should be well-formatted, contain some usable knowledge of the world, and strictly NOT have any harmful, racist, sexist, etc. content.

OPTIONS: yes / no
ANSWER:

ライセンスはオリジナルのデータセットのライセンスに従います。

README history 4 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. 2024-08-12Create README.md27b71ce1.2 KB
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  2. 2024-05-26feat: add jsonl files.e9e9f970 B
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  3. 2024-05-25feat: add jsonl files.db4e04c0 B
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  4. 2024-05-25initial commitea832a00 B
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Metadata

License
mit

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("geniacllm/hh-rlhf-12k-ja-askllm-v1")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="geniacllm/hh-rlhf-12k-ja-askllm-v1", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/geniacllm/hh-rlhf-12k-ja-askllm-v1
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