HarmlessSR07/OSI-Bench

Name: HarmlessSR07/OSI-Bench
Creator: HarmlessSR07
Published: 2025-12-18T09:07:01
License: https://www.apache.org/licenses/LICENSE-2.0

published by @HarmlessSR07

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

5.8K

Last 30 days

3.4K

Likes

Size

79.0 GB

Created on HF

2025-12-18

Age

10 months ago

README current version from Hugging Face

license: apache-2.0
task_categories:

visual-question-answering
language:
en
tags:
Video
Text
size_categories:
1K<n<10K
configs:
config_name: default
data_files:
- split: test
  path: data.parquet
  default: true

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.

2025-12-23add card6fd6258261 B
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2025-12-19init dataset660a8e40 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.

2025-12-19[bot] Conversion to Parquetopen1 💬#1
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Metadata

License

apache-2.0

Repository

FILE .gitattributes FILE data.parquet FILE README.md FILE videos_part1.zip FILE videos_part2.zip FILE videos_part3.zip FILE videos_part4.zip

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("HarmlessSR07/OSI-Bench")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="HarmlessSR07/OSI-Bench", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/HarmlessSR07/OSI-Bench

Browse repository on Hugging Face ->