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agentlans/prompt-screening-dataset

published by @agentlans

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
483
Last 30 days
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Size
91.0 MB
Created on HF
2026-01-16
Age
9 months ago

Description

Prompt Screening Dataset

This dataset is designed for training a classifier that identifies desirable rows for AI model training.

Each data source in agentlans/chatgpt contributes 10 000 rows.

Every row has been evaluated using these models:

agentlans/bge-small-en-v1.5-prompt-safety

agentlans/bge-small-en-v1.5-prompt-quality

agentlans/bge-small-en-v1.5-prompt-difficulty

agentlans/snowflake-arctic-embed-xs-refusal-classifier

The abridged column concatenates the input and output… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/prompt-screening-dataset.

Tags

task_categories:text-classificationlanguage:ensize_categories:100K<n<1Mformat:jsonmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usfilterquality-control

README current version from Hugging Face


language:

  • en
    task_categories:
  • text-classification
    tags:
  • filter
  • quality-control

Prompt Screening Dataset

This dataset is designed for training a classifier that identifies desirable rows for AI model training.

Each data source in agentlans/chatgpt contributes 10 000 rows.

Every row has been evaluated using these models:

The abridged column concatenates the input and output fields in the following format: <|user|>prompt<|assistant|>reply
Ellipses tokens (<|...|>) are inserted in the middle of messages exceeding 400 characters to shorten them.

The accept column is true if all of the following conditions are met:

  • quality > 1
  • safety > 0.5
  • refusal == 'Non-refusal'

Otherwise, the value is false.

README history 7 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. 2026-04-11Update README.mdcee4ad91.3 KB
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  2. 2026-04-11New safety and quality fields04099971.3 KB
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  3. 2026-01-16Update README.md3b6c8231.3 KB
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  4. 2026-01-16Update README.mdfce3e0c1.3 KB
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  5. 2026-01-16Create README.mda6c1a711.1 KB
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  6. 2026-01-16Upload 2 files37367940 B
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  7. 2026-01-16initial commit86377910 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.

  1. 2026-01-17[bot] Conversion to Parquetopen1 💬#1
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Related datasets same stage · misc

Read further

Repository

Download the dataset

0

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("agentlans/prompt-screening-dataset")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="agentlans/prompt-screening-dataset", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/agentlans/prompt-screening-dataset
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