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mizinovmv/ru_ifeval-like-data

published by @mizinovmv

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
780
Last 30 days
38
Likes
-
Size
3.3 MB
Created on HF
2024-11-02
Age
1 years ago

Description

Russian IFEval Like Data

This dataset contains instruction-response pairs synthetically generated using Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8 and chatgpt-4o-latest following the style of google/IFEval dataset and verified for correctness with #TODO lm-evaluation-harness.

Thank you for the inspiration ifeval_like_dataset.

Tags

task_categories:text-generationlanguage:rulicense:cc-by-4.0size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarslibrary:distilabelregion:ussyntheticdistilabelrlaif

README current version from Hugging Face

language:

  • ru
    license: cc-by-4.0
    size_categories:
  • 1K<n<10K
    task_categories:
  • text-generation
    pretty_name: IFEval Like Data
    license_link: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8/blob/main/LICENSE
    dataset_info:
    features:
    • name: instruction
      dtype: string
    • name: prompt_len
      dtype: int64
    • name: response
      dtype: string
    • name: instruction_id_list
      sequence: string
    • name: instruction_kwargs
      dtype: string
      splits:
    • name: train
      num_bytes: 9701319
      num_examples: 3890
      download_size: 3428253
      dataset_size: 9701319
      configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      tags:
  • synthetic
  • distilabel
  • rlaif

Russian IFEval Like Data

This dataset contains instruction-response pairs synthetically generated using Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8 and chatgpt-4o-latest following the style of google/IFEval dataset and verified for correctness with #TODO lm-evaluation-harness.

Thank you for the inspiration ifeval_like_dataset.

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. 2024-11-04Update README.mdfe7d3851.3 KB
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  2. 2024-11-04Update README.mdea73d2c1.3 KB
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  3. 2024-11-04Update README.md6ebfb461.3 KB
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  4. 2024-11-04Upload datasetb070cf3454 B
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  5. 2024-11-02initial commitdcf05af0 B
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Used by abliterated models none yet

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Community discussions 1 thread · 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. 2024-11-05[bot] Conversion to Parquetclosed1 💬#1
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Read further

Community best practices (evaluation)
4 rules on judges, benchmarks, and reporting.
Reference-set drift over time
Why the same benchmark means different things across model generations.
How we label the method for each model
The 12 classification rules that assign M1-M8 to every model.
Non-English abliteration communities
The Korean scepticism about one-click tools and non-English benchmark blindspots.

Metadata

License
cc-by-4.0

Repository

DIR data FILE .gitattributes FILE README.md

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

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