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Improve-IT-Solutions/SITO

published by @Improve-IT-Solutions

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
17
Last 30 days
17
Likes
-
Size
6.0 MB
Created on HF
2026-10-12
Age
9 days ago

Description

SITO

Synthetic Independent Text-safety benchmark with Overflagging tests. Sito is Ukrainian for "sieve".

SITO is an evaluation set for text-safety detectors in six harm categories. It measures two things: how often a system misses harm, and how often it flags harmless messages that look like harmful ones. It covers English, Ukrainian and mixed Ukrainian. It was built for an independent evaluation of a commercial text-safety API; the method and the results are in the accompanying… See the full description on the dataset page: https://huggingface.co/datasets/Improve-IT-Solutions/SITO.

Tags

task_categories:text-classificationlanguage:enlanguage:uklanguage:rulicense:cc-by-4.0size_categories:1K<n<10Kformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantdoi:10.57967/hf/10883region:ussafetycontent-moderationfraudscammoney-mulesocial-engineeringromance-scamgamblingbullyingbenchmarksyntheticukrainiansurzhykcode-switching

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Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Metadata

License
cc-by-4.0

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("Improve-IT-Solutions/SITO")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Improve-IT-Solutions/SITO", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/Improve-IT-Solutions/SITO
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