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gabrielmbmb/ifeval-like-data-decon

Name: gabrielmbmb/ifeval-like-data-decon
Creator: gabrielmbmb
Published: 2024-10-17T09:33:55

published by @gabrielmbmb

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

1.2K

Last 30 days

489

Likes

Size

18.6 MB

Created on HF

2024-10-17

Age

2 years ago

README current version from Hugging Face

dataset_info:
features:

name: key
dtype: int64
name: prompt
dtype: string
name: response
dtype: string
name: instruction_id_list
sequence: string
name: kwargs
dtype: string
name: prompt_level_strict_acc
dtype: bool
name: inst_level_strict_acc
sequence: bool
name: prompt_level_loose_acc
dtype: bool
name: inst_level_loose_acc
sequence: bool
splits:
name: train
num_bytes: 48723675.28816628
num_examples: 36236
download_size: 19481098
dataset_size: 48723675.28816628
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.

2024-10-17Upload dataset03bc8d1652 B
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2024-10-17initial commit2dbfa0b0 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.

2024-10-20PRLibrarian Bot: Add language metadata for datasetopen1 💬#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-decon")

Raw snapshot (Python)

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

git clone (requires git-lfs)

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

Browse repository on Hugging Face ->