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gabrielmbmb/ifeval-like-data-report

Name: gabrielmbmb/ifeval-like-data-report
Creator: gabrielmbmb
Published: 2024-10-17T09:26:21

published by @gabrielmbmb

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

631

Last 30 days

106

Likes

Size

5.2 MB

Created on HF

2024-10-17

Age

2 years ago

README current version from Hugging Face

dataset_info:
features:

name: prompt
dtype: string
name: ngram
sequence: string
name: bench_name
dtype: string
name: bench_text
dtype: string
name: diff
sequence: string
name: diff_ratio
dtype: float64
name: diff_length
dtype: int64
name: longest_diff_part
dtype: string
name: longest_diff_part_length
dtype: int64
splits:
name: train
num_bytes: 39788996
num_examples: 41077
download_size: 5470182
dataset_size: 39788996
configs:
config_name: default
data_files:
- split: train
  path: data/train-*

README history 3 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.

2024-10-17Upload dataset84d04c9607 B
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2024-10-17Upload datasetdc65da4607 B
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2024-10-17initial commit20453aa0 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 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.

2024-10-19PRLibrarian Bot: Add language metadata for datasetopen1 💬#2
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2024-10-18[bot] Conversion to Parquetopen1 💬#1
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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

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("gabrielmbmb/ifeval-like-data-report")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="gabrielmbmb/ifeval-like-data-report", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/gabrielmbmb/ifeval-like-data-report

Browse repository on Hugging Face ->