Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
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README.md
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#
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See the accompanying paper: **Ayaou et al., 2025 — “DAPFAM: A Domain‑Aware Patent Retrieval Dataset Aggregated at the Family Level” (arXiv:2506.22141).**
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## Summary
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DAPFAM provides **1 247 balanced query patent families** and **45 336 target families** with forward/backward‑citation relevance labels (≈ 50 K pairs). Each relevant link is explicitly marked **in‑domain** or **out‑of‑domain** according to IPC 3‑char overlap, enabling rigorous cross‑domain evaluation.
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* Full text **(title · abstract · claims · description)** plus rich metadata for *every* family.
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* Multi‑jurisdictional, English‑only text (families may originate in US, JP, EP, CN, …).
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```python
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from datasets import load_dataset
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```
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## Citation
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```
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@misc{ayaou2025dapfam,
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title={DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level},
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# **DAPFAM**
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For more details on the dataset construction and baseline experimentations, see the accompanying paper: **Ayaou et al., 2025 — “DAPFAM: A Domain‑Aware Patent Retrieval Dataset Aggregated at the Family Level” (arXiv:2506.22141).**
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## Summary
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DAPFAM provides **1 247 domain balanced full-text query patent families** and **45 336 full-text target families** with forward/backward‑citation relevance labels (≈ 50 K pairs). Each relevant link is explicitly marked **in‑domain** or **out‑of‑domain** according to IPC 3‑char overlap, enabling rigorous cross‑domain evaluation.
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* Full text **(title · abstract · claims · description)** plus rich metadata for *every* family.
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* Multi‑jurisdictional, English‑only text (families may originate in US, JP, EP, CN, …).
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```python
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from datasets import load_dataset
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#According to your usage, you might not need to load all 3 subsets
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ds = load_dataset("datalyes/DAPFAM_patent", "corpus")
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from datasets import load_dataset
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ds = load_dataset("datalyes/DAPFAM_patent", "queries")
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from datasets import load_dataset
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ds = load_dataset("datalyes/DAPFAM_patent", "relations")
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```
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## Citation
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If you find our paper or dataset helpful, please consider citing as follows:
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```
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@misc{ayaou2025dapfam,
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title={DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level},
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