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multilingual/orca_dpo_pairs

published by @multilingual

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
5.3K
Last 30 days
206
Likes
20
Size
112.0 MB
Created on HF
2024-04-02
Age
2 years ago

Description

mLLM IMPLEMENTATION OF Intel/orca_dpo_pairs.

LANGUAGES:

ARABIC

CHINESE

FRENCH

GERMAN

RUSSIAN

SPANISH

TURKISH

(WIP)

Tags

task_categories:text-generationlanguage:arlanguage:zhlanguage:delanguage:frlanguage:eslanguage:trlanguage:rulicense:apache-2.0size_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:usmllmmultilingualrlhfdpo

README current version from Hugging Face

dataset_info:
features:

  • name: mllm_index
    dtype: string
  • name: system
    dtype: string
  • name: question
    dtype: string
  • name: chosen
    dtype: string
  • name: rejected
    dtype: string
    splits:
  • name: de_train
    num_bytes: 38060434
    num_examples: 11687
  • name: ar_train
    num_bytes: 14211631
    num_examples: 3402
  • name: zh_train
    num_bytes: 29021389
    num_examples: 11687
  • name: es_train
    num_bytes: 36064831
    num_examples: 11687
  • name: fr_train
    num_bytes: 36580202
    num_examples: 11104
  • name: ru_train
    num_bytes: 59694973
    num_examples: 11687
  • name: tr_train
    num_bytes: 14211631
    num_examples: 3402
    download_size: 117157771
    dataset_size: 227845091
    configs:
  • config_name: default
    data_files:
    • split: ar_train
      path: data/ar_train-*
    • split: zh_train
      path: data/cn_train-*
    • split: de_train
      path: data/de_train-*
    • split: es_train
      path: data/es_train-*
    • split: fr_train
      path: data/fr_train-*
    • split: ru_train
      path: data/ru_train-*
    • split: tr_train
      path: data/tr_train-*
      task_categories:
  • text-generation
    language:
  • ar
  • zh
  • de
  • fr
  • es
  • tr
  • ru
    tags:
  • mllm
  • multilingual
  • rlhf
  • dpo
    license: apache-2.0

mLLM IMPLEMENTATION OF Intel/orca_dpo_pairs.

LANGUAGES:
ARABIC
CHINESE
FRENCH
GERMAN
RUSSIAN
SPANISH
TURKISH

(WIP)

README history 9 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. 2024-04-03Update README.mdd55a8e41.5 KB
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  2. 2024-04-03Upload orca_dpo_pairs_cover.png73b1b311.3 KB
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  3. 2024-04-03Update README.md356927b1.3 KB
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  4. 2024-04-02Update README.md9b5b4aa1.3 KB
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  5. 2024-04-02Update README.md84d32901.3 KB
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  6. 2024-04-02Update README.md3e05cf41.2 KB
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  7. 2024-04-02Upload datasetaf5ef9e1.1 KB
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  8. 2024-04-02Upload dataset3110f151001 B
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  9. 2024-04-02initial commitd5b86a80 B
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Used by abliterated models 5 in catalog

Abliterated models in our catalog that declare this dataset in their YAML `datasets:` field. Sorted by downloads. This back-reference is unique to abliteration.org: Hugging Face does not surface it.

mradermacher/Qwen2.5-1.5B-Uncensored_Neurotic_Spanish-GGUF
391 dl 4 likes
Novaciano/Qwen2.5-1.5B-Uncensored_Neurotic_Spanish-Q6_K-GGUF
54 dl
Novaciano/Qwen2.5-1.5B-Uncensored_Neurotic_Spanish-Q5_K_M-GGUF
52 dl
Novaciano/Qwen2.5-1.5B-Uncensored_Neurotic_Spanish-IQ4_XS-GGUF
52 dl
Novaciano/Qwen2.5-1.5B-Uncensored_Neurotic_Spanish
35 dl 2 likes

Community discussions 2 threads · 2 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.

  1. 2024-09-13There is no Turkish datasetopen1 💬#2
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  2. 2024-04-03[bot] Conversion to Parquetopen1 💬#1
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Continue on Hugging Face →

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Read further

Community best practices (healing)
4 rules on DPO/ORPO, GSM8K lag, CHES filtering, and what heal does not do.
M4 - Abliterate then heal
Two-stage pipeline. DPO healing recovers benchmarks.
The politics of dataset curation
Whose preferences are baked into the healing mix, and why it matters.
Non-English abliteration communities
The Russian slop-removal framing and non-English healing corpora.

Metadata

License
apache-2.0

Repository

DIR data 7 files FILE .gitattributes FILE orca_dpo_pairs_cover.png FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

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