---
license: cc-by-sa-4.0
task_categories:
- question-answering
- text-generation
language:
- en
tags:
- medical
- cancer-screening
- uspstf
- seer
- autoscientist-challenge
size_categories:
- 1K<n<10K
---

# Cancer Screening Evidence Reasoner (AutoScientist Challenge)

Fine-tuning dataset for teaching a language model to answer cancer **screening eligibility** and **evidence** questions with **exact, verifiable citations** — not hedged guesses.

## Motivation

Base models know screening guidelines roughly but **invent citations** and get **exact statistics wrong**. Every completion in this dataset is **computed by a rule engine** from verified USPSTF and SEER ground truth — not LLM-generated.

## Format

| Column | Description |
|--------|-------------|
| `prompt` | Natural-language screening or evidence question |
| `completion` | Structured answer: eligibility → reasoning → exact source → disclaimer |

**Files:** `train.jsonl` (recommended) or `train.csv` — 3,714 rows.

## Row mix

- ~76% medical: screening eligibility, red flags, BRCA/Lynch, grade-D refusals, version traps
- ~24% general instruction buffer (Databricks Dolly-15k, CC-BY-SA-3.0) to prevent catastrophic forgetting

## Sources (all public domain or open license)

| Source | License |
|--------|---------|
| USPSTF screening recommendations | US Government (public domain) |
| SEER Cancer Stat Facts | US Government (public domain) |
| NCI PDQ / red-flag symptoms | US Government (public domain) |
| Databricks Dolly-15k (general buffer only) | CC-BY-SA-3.0 |

## Usage with Adaption Adaptive Data

```
column_mapping = {"prompt": "prompt", "completion": "completion"}
```

Import URL: `https://huggingface.co/datasets/<your-username>/cancer-screening-evidence-reasoner`

File to import: `train.jsonl`

## Limitations

- Population-level screening guidance only — **not medical advice**
- US-focused (USPSTF / SEER)
- Does not diagnose; includes refusal rows for diagnosis requests

## Citation

```
@dataset{cancer_screening_evidence_reasoner_2026,
  author = {Vinay Thorat},
  title = {Cancer Screening Evidence Reasoner},
  year = {2026},
  publisher = {Hugging Face},
  note = {AutoScientist Challenge Part 2, Science category}
}
```