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Card: base/cot/fewshot splits, add metadata + paper link + usage (supersedes PR)

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  1. README.md +38 -7
README.md CHANGED
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: id
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  configs:
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  - config_name: default
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  data_files:
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- - split: test
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- path: data/test-*
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- - split: cb7
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- path: data/cb7-*
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  - split: base
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  path: data/base-*
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  - split: cot
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  path: data/fewshot-*
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  ---
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  # SupraBench
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  **SupraBench** is the first benchmark for evaluating large language models on
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  | [`SupraBench/EU-PMC`](https://huggingface.co/datasets/SupraBench/EU-PMC) | Text corpus | 16M-token supramolecular corpus for DAPT |
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  | [`SupraBench/Binding-Affinity`](https://huggingface.co/datasets/SupraBench/Binding-Affinity) | Comprehensive anchor | per-record binding data + host/guest SMILES, 2D, 3D, environment |
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- Each task dataset has a `test` split (merged records) and a `cb7` split (the
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- CB[7] supplement, for add-on evaluation). Each `base`/`fewshot`/`cot` rendering is
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- tagged by the `prompt_strategy` field.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Dataset statistics
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  ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - question-answering
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+ language:
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+ - en
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+ tags:
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+ - chemistry
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+ - supramolecular
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+ - host-guest
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+ - molecular-recognition
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+ - llm-benchmark
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+ pretty_name: 'SupraBench: Top-Binder Selection (TBS)'
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  dataset_info:
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  features:
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  - name: id
 
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  configs:
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  - config_name: default
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  data_files:
 
 
 
 
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  - split: base
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  path: data/base-*
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  - split: cot
 
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  path: data/fewshot-*
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  ---
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+
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  # SupraBench
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  **SupraBench** is the first benchmark for evaluating large language models on
 
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  | [`SupraBench/EU-PMC`](https://huggingface.co/datasets/SupraBench/EU-PMC) | Text corpus | 16M-token supramolecular corpus for DAPT |
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  | [`SupraBench/Binding-Affinity`](https://huggingface.co/datasets/SupraBench/Binding-Affinity) | Comprehensive anchor | per-record binding data + host/guest SMILES, 2D, 3D, environment |
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+ Each task dataset is partitioned by prompting strategy into three splits:
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+ `base`, `cot`, and `fewshot` (the strategy is also recorded in the
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+ `prompt_strategy` column). The CB[7] generalization records are a subset of every
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+ split and remain identifiable by host name.
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # prompting-strategy split: "base" | "cot" | "fewshot"
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+ ds = load_dataset("SupraBench/bap", split="cot")
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+ print(ds[0]["question"]) # fully rendered prompt
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+ print(ds[0]["answer"]) # reference label
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+ ```
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+
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+ To run the benchmark end-to-end (inference + scoring) see the
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+ [code repository](https://github.com/Tianyi-Billy-Ma/SupraBench):
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+
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+ ```bash
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+ uv run python src/main.py \
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+ --task-config configs/tasks/bap_base.yaml \
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+ --model-config configs/models/openrouter_qwen35_27b.yaml \
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+ --output-dir outputs/
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+ ```
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  ## Dataset statistics
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