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AIdenU/orca_dpo_data_ko

published by @AIdenU

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
921
Last 30 days
45
Likes
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Size
34.9 MB
Created on HF
2024-03-22
Age
2 years ago

Description

원본 데이터 : HuggingFaceH4/orca_dpo_pairs

원본 데이터 셋을 system, question, chosen, rejected 형태에 맞게 정제 후, squarelike/Gugugo-koen-7B-V1.1-AWQ 으로 번역

오번역된 데이터는 삭제 검수

Tags

language:kolicense:apache-2.0size_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

README history 7 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. 2024-04-01Upload 2 files21bc1a2403 B
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  2. 2024-04-01Delete orca_dpo_pairs_ko_test.jsonl6a31c04403 B
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  3. 2024-04-01Delete orca_dpo_pairs_ko_train.jsonlde5b47e403 B
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  4. 2024-03-22Update README.md9d578b8403 B
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  5. 2024-03-22Update README.md5a1a9f4445 B
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  6. 2024-03-22Upload 2 files1dbedf728 B
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  7. 2024-03-22initial commit0e7295228 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. 2024-04-01[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
apache-2.0

Repository

Download the dataset

0

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