|
Download README.md from SaylorTwift/decision-model-benchmark-usage: direct link, hf CLI and curl.
- Browser
- Download file 2.04 kB
-
https://huggingface.co/datasets/SaylorTwift/decision-model-benchmark-usage/resolve/main/README.md
- Command line
-
hf download hf://datasets/SaylorTwift/decision-model-benchmark-usage/README.md
-
curl -L -o README.md https://huggingface.co/datasets/SaylorTwift/decision-model-benchmark-usage/resolve/main/README.md
2.04 kB
| configs: | |
| - config_name: models | |
| data_files: | |
| - split: models | |
| path: models.jsonl | |
| tags: | |
| - benchmarks | |
| - evaluation | |
| - decision-models | |
| - leaderboard | |
| # Decision Model Benchmark Usage | |
| Which evaluation benchmarks labs use to evaluate their **decision models** (single-pass, | |
| zero-output-token classifiers/raters — routing, triage, moderation, reranking, LLM-judge, | |
| visual inspection — not chat LLMs). Sister dataset to | |
| [`SaylorTwift/llm-benchmark-usage`](https://huggingface.co/datasets/SaylorTwift/llm-benchmark-usage), | |
| which covers LLM/agent evaluation suites; benchmark names are canonicalized against | |
| that dataset so overlapping benchmarks (e.g. `AI2D`, `MMBench`, `BoolQ`) share one spelling | |
| across both. | |
| Hand-built from papers, technical reports, system cards, model cards, and blog posts. | |
| ```python | |
| from datasets import load_dataset | |
| models = load_dataset("SaylorTwift/decision-model-benchmark-usage", "models")["models"] | |
| ``` | |
| ## `models` | |
| One row per model, fully self-contained. | |
| | column | type | description | | |
| |---|---|---| | |
| | `model_id` | string | Hugging Face repo id for open-weight models (e.g. `LiquidAI/d1-3B`), or a plain slug for closed/API models | | |
| | `lab` | string | Organization/lab that released the model | | |
| | `release_date` | timestamp | Release date. HF repo creation date for open-weight models (a proxy, not always the exact announcement date); hand-researched announcement date for closed models | | |
| | `source` | string | Link to the paper/report/card/blog this model's evaluation suite was extracted from | | |
| | `benchmarks` | list | The evaluation suite: `{name, category}` objects. Names are canonicalized (e.g. always `CVBench`, never `CV-Bench`); genuinely distinct variants are kept separate (`SQuAD` vs `SQuAD 2.0`). Categories are per-source free-text groupings, not a controlled vocabulary | | |
| Richer per-source metadata (paper type, title, notes, confidence flags) lives in a local | |
| `sources` table and is not published as of this schema version; it may move to a separate | |
| Hub dataset later. | |