Add weights licence and HPLT provenance notices

DATA_AND_THIRD_PARTY_NOTICE.md

@@ -0,0 +1,94 @@
+# Data and Third-Party Notice
+
+## Scope
+
+The `urnova-95m` model was trained from scratch. It was not initialized from
+mBERT, XLM-R, DunbaaBERT, HPLT-BERT Urdu, or another third-party model
+checkpoint.
+
+The original urnova model weights and locally generated tokenizer artifacts
+are distributed under the Apache License, Version 2.0, to the extent of the
+rights held by the urnova publisher.
+
+This licence does not relicense the underlying pretraining documents.
+
+## Training-data source
+
+The production corpus was derived from the Urdu Arabic-script portion of
+HPLT 3.0.
+
+HPLT states that:
+
+- it does not own the text from which the dataset was extracted;
+- it licenses the packaging of the dataset under Creative Commons CC0;
+- users remain responsible for compliance with applicable law.
+
+Official dataset identifier:
+
+`HPLT/HPLT3.0`
+
+No raw or reconstructed HPLT documents are included in this model repository.
+
+## Recorded production provenance
+
+The frozen production lineage records:
+
+- source documents: 1,921,027;
+- source-token count: 1,246,973,570;
+- production training tokens processed: approximately 4.0 billion;
+- source corpus name in the deduplication manifest: `hplt3`;
+- source file SHA-256:
+  `b4ede7d4548fc3db385666eddd796ae2ceb0d37788bbe85a13ff8abd81ebb991`;
+- tokenized output SHA-256:
+  `b07ad6d48efe3e5147d875b09acf4a53ce675d078e3d868e8d778e15c8c863aa`;
+- upstream corpus identity SHA-256:
+  `0ba4bf10ad09c3b8105f8ac20dd62953e8537664b8cda0ea4557a6ec275817d3`;
+- tokenizer vocabulary SHA-256:
+  `3acb94ea6bca8b2a0256d9d46c545bb9c033977c71671f8bc52cb1aa6ada92bc`.
+
+Phases A, B, and C used the same tokenized production corpus with different
+packing and context-length policies.
+
+## Provenance limitations
+
+The local production records do not preserve an immutable HPLT upstream
+revision or acquisition timestamp.
+
+The tokenizer-training manifest records 199,117 documents from the local file
+`dedup-200k.jsonl`, with SHA-256:
+
+`75d73d7d874525ab9c076f62ebbeb6bfd7bd0b63acac68bee2db657771855f34`
+
+That tokenizer manifest does not independently record the original dataset
+identifier or immutable upstream revision.
+
+These are known provenance limitations and must not be represented as fully
+resolved source-level provenance.
+
+## Third-party rights
+
+Apache-2.0 applies only to rights held by the licensors in the distributed
+urnova artifacts. It does not grant permission to use:
+
+- copyrighted text that may be reproduced from training data;
+- names, logos, or trademarks appearing in source material;
+- personal information or content subject to privacy or publicity rights;
+- material restricted by website, publisher, contractual, or database terms.
+
+Users are responsible for determining whether their intended use complies
+with applicable law.
+
+## Takedown and concerns
+
+For concerns relating to this model repository, open a discussion at:
+
+https://huggingface.co/mahwizzzz/urnova-95m/discussions
+
+Provide enough information to identify the affected material and explain the
+basis of the request.
+
+Valid requests will be investigated. Where appropriate, affected sources will
+be excluded from future training runs, and the model card will identify which
+previous model versions remain affected.
+
+HPLT publishes its own dataset notice-and-takedown procedure separately.

LICENSE-WEIGHTS

@@ -0,0 +1,191 @@
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+                        http://www.apache.org/licenses/
+
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+   Copyright 2026 Mahwiz Khalil
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
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+
+       http://www.apache.org/licenses/LICENSE-2.0
+
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+   See the License for the specific language governing permissions and
+   limitations under the License.
+

NOTICE

@@ -0,0 +1,20 @@
+urnova-95m
+Copyright 2026 The urnova authors
+
+The original urnova model weights, tokenizer artifacts, code, documentation,
+benchmark reports, and visualizations included in this repository are made
+available under the Apache License, Version 2.0, to the extent of the rights
+held by their respective copyright holders.
+
+The model was trained from scratch using an Urdu corpus derived from HPLT 3.0.
+HPLT licenses the packaging of its dataset under CC0 but states that it does
+not own the underlying extracted web text.
+
+The Apache License does not grant rights in the underlying training text,
+third-party content, trademarks, privacy rights, publicity rights, database
+rights, or text that a model may reproduce.
+
+No raw HPLT training documents are distributed in this model repository.
+
+See DATA_AND_THIRD_PARTY_NOTICE.md for provenance, limitations, and the
+takedown procedure.

README.md

@@ -12,6 +12,9 @@ tags:
 - polar
 - benchmark
 - pilot
+datasets:
+- HPLT/HPLT3.0
+license: apache-2.0
 ---
 
 # urnova-95m
@@ -57,6 +60,19 @@ Research and controlled Urdu NLP experimentation, feature extraction, masked-lan
 - Results may not generalize to Roman Urdu, other domains, dialects or longer documents.
 - Polarization predictions must not be the sole basis for punitive or high-impact decisions.
 
-## Licence notice
+## Licence and training-data notice
 
-The included Apache-2.0 repository licence applies to project code and documentation only. A separate licence for the generated model weights has not yet been specified. Users must review applicable corpus, benchmark and third-party terms before using or redistributing the weights.
+The original urnova model weights, tokenizer artifacts, code, documentation,
+benchmark reports, and visualizations are made available under the Apache
+License, Version 2.0, to the extent of the rights held by their respective
+copyright holders.
+
+The model was trained from scratch using an Urdu corpus derived from HPLT 3.0.
+HPLT licenses the dataset packaging under CC0 but states that it does not own
+the underlying extracted web text. Apache-2.0 therefore does not grant rights
+in the underlying training documents or third-party text that may be
+reproduced.
+
+No raw training corpus is included. See
+[`DATA_AND_THIRD_PARTY_NOTICE.md`](DATA_AND_THIRD_PARTY_NOTICE.md),
+[`NOTICE`](NOTICE), and [`LICENSE-WEIGHTS`](LICENSE-WEIGHTS).