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kunishou/jp-effective-instructions

published by @kunishou

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.1K
Last 30 days
30
Likes
3
Size
5.8 MB
Created on HF
2023-12-01
Age
2 years ago

Description

oasst1-89k-ja , databricks-dolly-15k-ja , hh-rlhf-49k-ja の中から JGLUE( JcommonsenseQA , MARC-ja , JSQuAD )の観点で高品質なデータセットに絞り込んだデータセットです。

品質スコアリングの詳細はこちらを参考にして下さい。https://qiita.com/kunishou/items/efd9f68d6aa86d56dc73

データセットの構成とライセンスは以下の通りになります。

dataset

num records

liscence

oasst1-89k-ja

4,204

Apache 2.0

databricks-dolly-15k-ja

282

CC-BY-SA-3.0

hh-rlhf-49k-ja

989

MIT

※ 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。

Tags

language:jalicense:othersize_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


license: other
license_name: mixed-liscence
license_link: LICENSE
language:

  • ja

oasst1-89k-ja , databricks-dolly-15k-ja , hh-rlhf-49k-ja の中から JGLUE( JcommonsenseQA , MARC-ja , JSQuAD )の観点で高品質なデータセットに絞り込んだデータセットです。

品質スコアリングの詳細はこちらを参考にして下さい。
https://qiita.com/kunishou/items/efd9f68d6aa86d56dc73

データセットの構成とライセンスは以下の通りになります。

dataset num records liscence
oasst1-89k-ja 4,204 Apache 2.0
databricks-dolly-15k-ja 282 CC-BY-SA-3.0
hh-rlhf-49k-ja 989 MIT

※ 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 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. 2023-12-01Update README.mdde6f76a1002 B
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  2. 2023-12-01Update README.mdce501ad869 B
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  3. 2023-12-01Upload jp_effective_instructions_20231201.jsone8cb17274 B
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  4. 2023-12-01Delete LICENSE45cbde174 B
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  5. 2023-12-01initial commit5d0ec7d74 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. 2023-12-02[bot] Conversion to Parquetopen1 💬#1
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Metadata

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other

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("kunishou/jp-effective-instructions")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="kunishou/jp-effective-instructions", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/kunishou/jp-effective-instructions
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