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Finnish-NLP/distilabel-intel-orca-dpo-pairs-fi-deepl-translated-sft-dpo-filtered

published by @Finnish-NLP

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
559
Last 30 days
13
Likes
1
Size
6.7 MB
Created on HF
2024-02-10
Age
2 years ago

Tags

size_categories:1K<n<10Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: instruction
    dtype: string
  • name: response_accepted
    dtype: string
  • name: response_rejected
    dtype: string
  • name: instruction_perplexity_kenlm
    dtype: int64
  • name: chosen_response_perplexity_kenlm
    dtype: int64
  • name: rejected_response_perplexity_kenlm
    dtype: int64
  • name: combined_perplexity_dpo
    dtype: int64
  • name: combined_perplexity_sft
    dtype: int64
  • name: instruction_lang
    dtype: string
  • name: instruction_lang_proba
    dtype: float64
  • name: chosen_response_lang
    dtype: string
  • name: chosen_response_lang_proba
    dtype: float64
  • name: rejected_response_lang
    dtype: string
  • name: rejected_response_lang_proba
    dtype: float64
  • name: perplexity_instruction_len_ratio
    dtype: float64
  • name: perplexity_response_len_ratio
    dtype: float64
  • name: dataset_source
    dtype: string
  • name: index_level_0
    dtype: int64
    splits:
  • name: train
    num_bytes: 11944407
    num_examples: 4402
    download_size: 7055078
    dataset_size: 11944407
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

README history 2 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. 2024-02-10Upload dataset60ec08e1.1 KB
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  2. 2024-02-10initial commit45f5aba0 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. 2024-05-06[bot] Conversion to Parquetopen1 💬#1
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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("Finnish-NLP/distilabel-intel-orca-dpo-pairs-fi-deepl-translated-sft-dpo-filtered")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Finnish-NLP/distilabel-intel-orca-dpo-pairs-fi-deepl-translated-sft-dpo-filtered", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Finnish-NLP/distilabel-intel-orca-dpo-pairs-fi-deepl-translated-sft-dpo-filtered
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