Add dataset license and provenance notices

Co-authored-by: Cursor <cursoragent@cursor.com>

LICENSE_DATA

@@ -0,0 +1,38 @@
+SPDX-License-Identifier: CC-BY-4.0
+
+FACTPROP Dataset License
+
+Copyright (c) 2026 Yuji Zhang, Weibing Wang, Cheng Qian, Duo Zhou,
+Dilek Hakkani-Tür, Kathleen McKeown, Chengxiang Zhai, and Heng Ji.
+
+Except for third-party material identified below, the FACTPROP authors
+license their copyright and similar rights in this dataset under the
+Creative Commons Attribution 4.0 International Public License:
+
+https://creativecommons.org/licenses/by/4.0/
+
+This grant covers the authors' original graph compilation, generated
+natural-language metadata, derived tables, dataset documentation, and
+applicable sui generis database rights.
+
+When sharing this dataset or an adaptation, provide attribution to the
+FACTPROP authors, cite "Popular Knowledge Propagates More Errors in LLM
+Knowledge Updating", link to https://huggingface.co/datasets/factprop/FACTPROP,
+link to the CC BY 4.0 license, and indicate whether changes were made.
+
+This license does not grant rights in:
+
+- Wikidata content, which is provided under CC0 1.0;
+- third-party names, trademarks, privacy, publicity, or personality rights;
+- any third-party material that may be present in individual records; or
+- factual information that is not protected by copyright.
+
+Such material remains subject to its original terms. See
+THIRD_PARTY_NOTICES.md for provenance and source-specific notices.
+
+The dataset is provided as-is, without warranties of accuracy,
+non-infringement, merchantability, or fitness for a particular purpose,
+to the extent permitted by law. The full CC BY 4.0 legal code controls
+if this notice conflicts with it:
+
+https://creativecommons.org/licenses/by/4.0/legalcode

README.md

@@ -2,6 +2,7 @@
 pretty_name: FACTPROP — Connected Factual Knowledge Graph
 language:
   - en
+license: cc-by-4.0
 size_categories:
   - 100K<n<1M
 tags:
@@ -32,7 +33,7 @@ configs:
 
 ## What is FACTPROP?
 
-FACTPROP is a connected factual knowledge graph for studying how knowledge is structured and how factual updates propagate through large language models. It was constructed from Wikipedia-derived factual candidates with Wikidata validation.
+FACTPROP is a connected factual knowledge graph for studying how knowledge is structured and how factual updates propagate through large language models. The released builder generates factual candidates with an LLM and validates supported relations against Wikidata. Project materials describe the candidates as Wikipedia-derived, but the released pipeline does not ingest Wikipedia article text.
 
 The release provides two ways to use the same graph:
 
@@ -350,6 +351,8 @@ This downloads the complete release, including:
 ```text
 FACTPROP-data/
 ├── factprop_graph_v1.pkl
+├── LICENSE_DATA
+├── THIRD_PARTY_NOTICES.md
 ├── data/
 │   ├── knowledge_edges.parquet
 │   ├── entities_curated.parquet
@@ -452,7 +455,7 @@ For predictive experiments:
 
 ## Coverage, quality, and limitations
 
-- The graph is derived from Wikipedia-oriented factual candidates and Wikidata validation; it is not an exhaustive model of world knowledge.
+- The graph uses LLM-generated, Wikipedia-oriented factual candidates and Wikidata validation; it is not an exhaustive model of world knowledge.
 - Construction choices—including seed entities, relation inventory, expansion policy, and validation coverage—shape the observed distribution.
 - A stored edge should not be treated as permanently or universally correct. Facts can be time-sensitive, approximate, disputed, or affected by source limitations.
 - `confidence` is a construction-time field, not a calibrated probability or human annotation score.
@@ -497,6 +500,8 @@ sha256sum -c SHA256SUMS
 | File | Purpose |
 | --- | --- |
 | `factprop_graph_v1.pkl` | Canonical connected NetworkX graph |
+| `LICENSE_DATA` | Dataset license notice and attribution requirements |
+| `THIRD_PARTY_NOTICES.md` | Upstream provenance and source-specific terms |
 | `data/knowledge_edges.parquet` | All forward knowledge connections for safe, efficient analysis |
 | `data/entities_curated.parquet` | Viewer-ready mapped entity summary |
 | `data/entities_curated.jsonl` | Equivalent JSONL curated summary |
@@ -510,7 +515,7 @@ sha256sum -c SHA256SUMS
 
 ## Provenance and versioning
 
-The graph was constructed from Wikipedia-derived factual candidates with Wikidata validation, as described by the FACTPROP project. The entity popularity index was exported from the unchanged paper graph. The source graph checksum is retained in `metadata/graph.json`.
+The released construction code uses `gpt-4o-mini` to generate candidate triplets and natural-language fields, then validates supported relations through Wikidata API and SPARQL queries. Project materials describe these candidates as Wikipedia-derived; the released builder does not directly ingest Wikipedia article text. The entity popularity index was exported from the unchanged paper graph, and its source checksum is retained in `metadata/graph.json`.
 
 `knowledge_edges` contains every forward edge from the checkpoint. It changes only the user-facing display of negative BCE literals and preserves each canonical object label separately. Topology and connectivity metrics are derived directly from the canonical graph. No graph nodes, mappings, edge topology, or checkpoint metadata were changed for this release.
 
@@ -518,10 +523,41 @@ Use a Hub revision to freeze data. Proposed mapping corrections or enhanced vers
 
 ## License
 
-A dataset-specific license has not yet been specified by the authors. This release does not assign a new license to its upstream sources. Review upstream source terms and obtain appropriate permission before redistribution or commercial use.
+FACTPROP is licensed under the
+[Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/),
+subject to third-party rights and source-specific terms.
 
-## Citation
+The license covers the FACTPROP authors' original graph compilation,
+generated natural-language metadata, derived tables, documentation, and
+applicable database rights. It does not relicense Wikidata content,
+third-party materials, names, trademarks, personality rights, or facts that
+are not protected by copyright.
+
+When redistributing or adapting the dataset:
+
+1. Credit the FACTPROP authors.
+2. Cite the work below and link to this dataset repository.
+3. Link to CC BY 4.0.
+4. Indicate whether changes were made.
 
-The public preprint and final bibliographic entry will be added when available. Please refer to the project under the paper title:
+See [LICENSE_DATA](LICENSE_DATA) for the license notice and
+[THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md) for Wikidata, Wikipedia,
+and model-output provenance.
 
-> Popular Knowledge Propagates More Errors in LLM Knowledge Updating
+## Citation
+
+Until a public paper identifier is available, cite the dataset as:
+
+```bibtex
+@dataset{zhang2026factprop,
+  title     = {FACTPROP: A Connected Factual Knowledge Graph},
+  author    = {Yuji Zhang and Weibing Wang and Cheng Qian and Duo Zhou and
+               Dilek Hakkani-Tür and Kathleen McKeown and Chengxiang Zhai and
+               Heng Ji},
+  year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/datasets/factprop/FACTPROP},
+  note      = {Dataset for ``Popular Knowledge Propagates More Errors in LLM
+               Knowledge Updating''}
+}
+```

SHA256SUMS

@@ -1,5 +1,7 @@
 8eebe4a8b875d1061c7b55947883b455fa1565fb6a6e39b8056c7160381d7cfc  GRAPH.md
-7b6739bdf987b260ee4355bd74c216d6c94d510fdd462a54a6735c8f7b9c96f0  README.md
+06d1d7c1b3d72eb9ba4efc0d3a14cb0a52049b36883d6b5b666a24babf132777  LICENSE_DATA
+5863c0d8320fe0fd3e5e2dfabc4a2de13927e342c9ff5eafde112d85f31afb34  README.md
+33fb70fa85c957c1d702cd57b81a4ed0d3cde6d558394409f96046fbee9f9093  THIRD_PARTY_NOTICES.md
 fa7d9aec01b9c98c09cebc941265e4351693b362ffb3048d2c86585e84d7800d  browser-index.json
 3a9211368ac52af6cd0647cb026c05cb62743804011b68624682e11df964c038  data/entities_curated.parquet
 010beb905ef89b491159a8d8b2b013ea55219d26c8545bed07f64010bfa9ffce  data/entities_curated.jsonl

THIRD_PARTY_NOTICES.md

@@ -0,0 +1,52 @@
+# Third-party notices
+
+This file documents source-specific terms and the scope of the FACTPROP
+dataset license. It is informational and does not replace the applicable
+licenses or legal terms.
+
+## Wikidata
+
+FACTPROP uses Wikidata API and SPARQL results for entity resolution and
+factual-relation validation. Wikidata structured data is dedicated to the
+public domain under the
+[CC0 1.0 Universal Public Domain Dedication](https://creativecommons.org/publicdomain/zero/1.0/).
+Wikidata QIDs and facts remain subject to those terms. Their inclusion does
+not imply endorsement by Wikidata or the Wikimedia Foundation.
+
+## Wikipedia references
+
+Some generated evidence rationales refer to Wikipedia as a general source,
+and project documentation describes the graph candidates as
+Wikipedia-derived. The released graph-building code does not contain a
+Wikipedia page-content ingestion path; `surface`, `question`, and
+`evidence_rationale` are requested as generated fields in the construction
+prompt. The release does not intentionally redistribute Wikipedia article
+text.
+
+Wikipedia text, if independently accessed or incorporated by a downstream
+user, is generally available under
+[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) and may also
+be subject to additional terms described by Wikimedia. The FACTPROP
+CC BY 4.0 grant does not relicense Wikipedia content.
+
+## Model-generated fields
+
+The released construction code identifies `gpt-4o-mini` as the default model
+used to generate candidate triplets and natural-language fields. OpenAI's
+applicable terms state that, as between the customer and OpenAI and to the
+extent permitted by law, the customer owns Output and OpenAI assigns any
+right, title, and interest it may have in that Output to the customer:
+
+- [OpenAI Services Agreement](https://openai.com/policies/services-agreement/)
+- [OpenAI Terms of Use](https://openai.com/policies/row-terms-of-use/)
+
+Model output may not be unique and can contain errors or material similar to
+third-party content. The FACTPROP license applies only to rights the authors
+are authorized to license and does not guarantee that every generated string
+is independently protectable or free of third-party claims.
+
+## No endorsement
+
+References to organizations, people, datasets, models, or services are for
+provenance and research documentation only. They do not imply sponsorship,
+endorsement, or affiliation.