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.claude/settings.local.json

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+{
+  "permissions": {
+    "allow": [
+      "Bash(huggingface-cli whoami:*)",
+      "Bash(python3:*)",
+      "Bash(wc:*)",
+      "Bash(huggingface-cli upload:*)"
+    ]
+  }
+}

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - text-generation
+  - token-classification
+language:
+  - en
+tags:
+  - funding
+  - research-funding
+  - scholarly-metadata
+  - preprints
+  - arxiv
+size_categories:
+  - 1K<n<10K
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: train.jsonl
+      - split: test
+        path: test.jsonl
+---
+
+# Preprint Funding Metadata
+
+A dataset of funding statements extracted from arXiv preprints with structured funder and award annotations.
+
+## Dataset Description
+
+This dataset contains funding statements from scientific preprints along with manually annotated structured metadata identifying funders and their associated awards.
+
+### Data Fields
+
+- `doi`: The DOI of the preprint (e.g., "10.48550/arxiv.2303.07677")
+- `funding_statement`: The raw funding acknowledgment text extracted from the paper
+- `funders`: Array of funder objects containing:
+  - `funder_name`: Name of the funding organization (may be null if only a program is mentioned)
+  - `awards`: Array of award objects containing:
+    - `funding_scheme`: Array of funding program/scheme names
+    - `award_ids`: Array of grant/award identifiers
+    - `award_title`: Array of award titles (if available)
+
+### Dataset Statistics
+
+| Split | Examples |
+|-------|----------|
+| Train | 1,388 |
+| Test | 347 |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("cometadata/preprint-funding")
+
+# Access train split
+train_data = dataset["train"]
+
+# Access test split
+test_data = dataset["test"]
+```
+
+## Example
+
+```json
+{
+  "doi": "10.48550/arxiv.2303.07677",
+  "funding_statement": "This work was supported in part by the Key R&D Program of Zhejiang under Grant 2022C01018, and by the National Natural Science Foundation of China under Grants U21B2001 and 61973273.",
+  "funders": [
+    {
+      "funder_name": null,
+      "awards": [
+        {
+          "funding_scheme": ["Key R&D Program of Zhejiang"],
+          "award_ids": ["2022C01018"],
+          "award_title": []
+        }
+      ]
+    },
+    {
+      "funder_name": "National Natural Science Foundation of China",
+      "awards": [
+        {
+          "funding_scheme": [],
+          "award_ids": ["U21B2001", "61973273"],
+          "award_title": []
+        }
+      ]
+    }
+  ]
+}
+```
+
+## License
+
+This dataset is released under CC-BY-4.0.