---
license: apache-2.0
language:
- en
task_categories:
- text-generation
tags:
- nsf
- scientific-claims
- science-communication
- generated-data
pretty_name: NSF-SciFy Full Awards
size_categories:
- 100K<n<1M
configs:
- config_name: default
  data_files:
  - split: full
    path: data/*.parquet
---

# NSF-SciFy Full Awards

NSF-SciFy contains 412,155 NSF award records enriched with generated nontechnical abstracts, verifiable claims, and investigation proposals.

The source technical abstracts come from the NSF awards database snapshot `nsf_awards-0325.json`. The generated fields were produced sequentially with the following task-specific LoRA adapters:

- [`darpa-scify/nsf-scify-matsci-20k-nta`](https://huggingface.co/darpa-scify/nsf-scify-matsci-20k-nta)
- [`darpa-scify/nsf-scify-matsci-20k-claims`](https://huggingface.co/darpa-scify/nsf-scify-matsci-20k-claims)
- [`darpa-scify/nsf-scify-matsci-20k-ip`](https://huggingface.co/darpa-scify/nsf-scify-matsci-20k-ip)

These adapters were trained on the materials-science plus 20K NSF-SciFy data. This repository contains their generated annotations for the full awards snapshot; it is a dataset, not a new model trained on all 412,155 records.

## Load

```python
from datasets import load_dataset

dataset = load_dataset("darpa-scify/nsf-scify")
full = dataset["full"]
print(full[0])
```

## Fields

- `award_id`, `award_year`, `title`, `directorate`, `division`: NSF award metadata.
- `abstract`: original technical abstract.
- `non_technical_abstract`: parsed generated nontechnical abstract.
- `verifiable_claims`: parsed list of generated verifiable claims.
- `investigation_proposals`: parsed list of generated investigation proposals.
- `*_raw`: raw model response retained for auditing and possible repair.
- `generation_error`, `*_parse_error`: error details when generation or parsing failed.
- `generation_success`: `true` only when all three parsed outputs are present and nonempty and no error marker is present.

## Generation quality

Using the strict `generation_success` definition:

| Status | Records | Percentage |
|---|---:|---:|
| Successful | 410,313 | 99.553% |
| Unsuccessful | 1,842 | 0.447% |
| Total | 412,155 | 100% |

The unsuccessful set includes overlapping categories: 1,085 records with missing, empty, or unparsed claims; 790 with missing, empty, or unparsed investigation proposals; 42 with an empty or missing nontechnical abstract; and 12 with an explicit generation error. Raw model responses are retained where available.

## Important limitations

All three enriched fields are model-generated and have not been exhaustively verified by humans. A successfully parsed record can still contain factual, extraction, relevance, repetition, or writing-quality errors. Users should validate generated content for their application and use `generation_success` and the error fields when filtering records.

## Related resources

- [`darpa-scify/nsf-scify-20k`](https://huggingface.co/datasets/darpa-scify/nsf-scify-20k)
- [NSF-SciFy collection](https://huggingface.co/collections/darpa-scify/nsf-scify)
- [NSF-SciFy paper](https://arxiv.org/abs/2503.08600)