Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
structured-decisions
calibration
probabilistic-classification
system-one
workflow-evaluation
Synthetic
License:
Commit History
5 days ago
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Add d1-2B and d1-2B-OptiQ-4bit (zero-shot) (#54)
- Add d1-2B and d1-2B-OptiQ-4bit (zero-shot) (4c7d40c65f219e10fe1dc43e6f35044c4079c27d) Co-authored-by: Sandeep Das <sandeep85@users.noreply.huggingface.co>d501540
6 days ago
13 days ago
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Add Baseten Mammoth 1 and Elephant 1 (scored by us via OpenRouter); regenerate chart
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Chart: reverse KL and latency axes so top right is best
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Chart: Decider 1 drawn like the other hosted APIs
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Add Decision Models rows (#38): quyet-1-large, s1-pro, s1-fast; regenerate chart
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21 days ago
22 days ago
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Leaderboard chart: add Amos 1 medium and large
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Leaderboard chart: add jev-vision-27b (zero-shot #5); generated by mini-jev/typed_decisions/make_leaderboard_chart.py
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Leaderboard: zero-shot models only; add self-reported entries; second table for models fitted on train
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Add Liquid AI d1 (0.742)
Verified signatureScored 2026-09-30 through api.liquid.ai (d1:free) with the same client code as the Jev row: 400 cases, 2,000 decisions, zero errors. Accuracy 0.742, KL 0.475, Brier 0.155, ECE 0.124, p50 525 ms.d51d993 -
Streamline the card: one leaderboard table, a chart, shorter notes
Verified signatureMerges the Leaderboard and Baseline results tables into one, adds a two-panel chart (accuracy vs KL, accuracy vs latency with price), and trims the prose from about 3,000 to 1,400 words. No numbers changed.f2491dd