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JEV-Hardmix
JEV-Hardmix is a synthetic English text dataset on Hugging Face holding 10K to 100K rows of decision-model scenarios: archive clauses with thresholds and retention windows, plus questions whose criteria map options to P0 through P3 priorities. Files are parquet with soft labels.
- Reading time
- 2 min
- Published by
- Community
- Added
- Oct 2026
Highlights
- Hosted on Hugging Face as the dataset AsystemAReno/JEV-Hardmix, tagged areno, jev, decision-model, synthetic, and soft-labels.
- Text-only dataset distributed in parquet format, English language, sized between 10K and 100K rows.
- Loadable through the Hugging Face Datasets library, pandas, and Polars.
- Rows mix archive clauses with EUR thresholds, retention windows, finance-signature rules, and priority orders.
- Questions carry decision criteria that map options A through D onto P0, P1, P2, and P3 priorities.
Questions about this entry
Short answers drawn from the linked project or page.
It is a synthetic text dataset published on Hugging Face under the account AsystemAReno, tagged jev and decision-model. Its rows combine archive-style policy clauses with current case records and questions whose criteria assign options to P0 through P3 priorities.
The dataset card lists the Hugging Face Datasets library, pandas, and Polars as supported libraries, and the repository stores files in parquet format, so it can be read with any of those three toolchains.
The dataset is text modality, English language, and parquet format. The card lists no other modalities or languages.
The dataset card reports a size range of 10K to 100K rows. No exact row count is given on the card.
The dataset is tagged with synthetic and soft-labels. Questions in the data include a decision object with criteria mapping options A, B, C, and D to P2, P3, P0, and P1 priorities respectively.
Rows contain archive clauses with EUR thresholds, retention periods in days, finance-signature requirements, suspension windows after callback, and priority orders, alongside current case records such as feature flag defaults and override status.
It is published by the Hugging Face account AsystemAReno, which the page shows with 3 followers and the dataset with 1 like. The content is synthetic, so it should not be treated as real policy or production data.
Reactions & coverage
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