Add files using upload-large-folder tool

README.md

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 ---
-license: cc-by-nc-sa-3.0
+license: cc-by-nc-sa-4.0
+language: [en]
+size_categories: [100K<n<1M]
+task_categories: [question-answering, text-retrieval]
+tags: [scientometrics, affiliations, ror, acl-anthology, cso, bibliometrics]
+configs:
+  - config_name: papers
+    data_files: papers/*.parquet
+  - config_name: affiliations
+    data_files: affiliations/*.parquet
+  - config_name: topics
+    data_files: topics/*.parquet
+  - config_name: fulltext
+    data_files: fulltext/*.parquet
+  - config_name: affiliation_gold
+    data_files: affiliation_gold/*.parquet
+  - config_name: benchmark_questions
+    data_files: benchmark_questions/*.parquet
+  - config_name: cso_validation
+    data_files: cso_validation/*.parquet
+  - config_name: linking_adjudication
+    data_files: linking_adjudication/*.parquet
+  - config_name: lora_train
+    data_files:
+      - split: train
+        path: lora_train/train-*.parquet
+      - split: validation
+        path: lora_train/validation-*.parquet
 ---
+
+# ANTHEM-202605 — an Enriched ACL Anthology for Scholarly Comparison
+
+117,346 ACL Anthology papers linked to ROR-normalised author affiliations
+and Computer Science Ontology (CSO) topic labels, with an evidence span
+retained for every extraction decision.
+
+Code: <https://github.com/MoritzStaudinger/anthem>
+
+## Configs
+
+| Config | Rows | What |
+|---|---:|---|
+| `papers` | 117,346 | one row per paper; nested fields kept as JSON strings |
+| `affiliations` | 515,803 | flat: paper x author x affiliation, with ROR id and evidence |
+| `topics` | 1,447,025 | flat: paper x CSO label, `source` = syntactic \| semantic |
+| `fulltext` | 117,339 | parsed text per paper: GROBID TEI, PyMuPDF/LLM Markdown, OCR |
+| `affiliation_gold` | 781 | hand-annotated affiliation gold set (781 papers) |
+| `benchmark_questions` | 99 | comparative-QA benchmark: question, persona, and the ROR/topic/year gold specification |
+| `cso_validation` | 104 | hand-judged CSO topic labels |
+| `linking_adjudication` | 805 | hand-verified ROR linking decisions, four strategies side by side |
+| `lora_train` | 10,000 | LoRA fine-tuning data for the affiliation adapter (`train` / `validation` splits) |
+
+Nested structures are stored as JSON strings because record shape varies across
+1952--2025; the flat `affiliations` and `topics` configs are the ones to query.
+
+```python
+from datasets import load_dataset
+
+aff = load_dataset("Molarix/anthem", "affiliations", split="train")
+```
+
+`fulltext` is the large config — load it only when you need the text itself.
+
+## Licensing
+
+ANTHEM's own layer — the extracted affiliations, ROR links, CSO labels and
+evidence spans in `papers`, `affiliations` and `topics` — is released under
+**CC-BY-NC-SA-4.0**.
+
+The `license` column is provenance, not the release licence: it records the
+terms the underlying paper carries in the Anthology. Per the
+[ACL Anthology copyright policy](https://aclanthology.org/faq/copyright/),
+materials prior to 2016 are CC BY-NC-SA 3.0 and materials from 2016 onward are
+CC BY 4.0. Papers whose year could not be determined are assigned the more
+restrictive pre-2016 term.
+
+9,467 papers were published at third-party (ELRA-published) venues such as LREC. The ACL copyright policy states that it does not cover third-party materials, so these rows carry `third_party_venue = true`; filter on it if your use needs only ACL-licensed material.
+
+Source PDFs are not redistributed; the Anthology serves those. `fulltext`
+contains parsed renderings (TEI, Markdown, OCR text) produced by this pipeline.
+
+| Underlying licence | Papers |
+|---|---:|
+| CC-BY-4.0 | 69,269 |
+| CC-BY-NC-SA-3.0 | 38,609 |
+| third-party venue (ELRA-published); see respective organisation | 9,468 |
+
+## Construction
+
+Affiliations were extracted from parsed PDFs by an LLM pipeline over combined
+parser outputs (GROBID TEI + PyMuPDF/LLM Markdown + OCR), then linked to ROR
+with country context. The model recorded per paper:
+
+| `provenance_model` | Papers |
+|---|---:|
+| gemini-2.5-flash | 79,626 |
+| gemini-2.5-flash-lite | 22,261 |
+| gemini-1.5-flash | 15,449 |
+| None | 10 |
+
+## Personal and sensitive information
+
+The dataset joins author names to institutions and publication years. All of it
+is already public in the ACL Anthology, and affiliations are as printed at
+publication time rather than current.
+
+The `fulltext` config is a faithful parse of the published PDFs, so where a paper printed author e-mail addresses in its header, the TEI and OCR text contain them too. They are not separated into a column, and no contact details beyond what the papers themselves print are added.
+
+## Known limitations
+
+Affiliation extraction and linking reach F1 0.760 (hierarchy-aware, parent and
+child ROR ids treated as equivalent) against a 781-paper decade-stratified gold
+set; ROR linking alone reaches 0.857 on hand-checked affiliation strings; CSO
+topic-label precision is 0.713. Roughly 90% of remaining false negatives are
+linking rather than extraction failures, concentrated in city-level institution
+clusters and geographically branched corporate entities.
+
+This is a fixed snapshot (ANTHEM-202605); it is not updated in place.
+
+## Citation
+
+Please cite the ANTHEM paper; the current reference is kept in the
+[code repository](https://github.com/MoritzStaudinger/anthem).

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id_mismatches.txt

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+2022.bionlp-1.3	2020.bionlp-1.3
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+I05-2027	I05-2007
+N06-2025	N06-2050
+N07-2025	N07-2055
+P06-2027	P06-2077
+P08-2025	P08-2055
+W00-2021	W00-2000
+W00-2023	W00-2000
+W00-2024	W00-2000
+W00-2028	W00-2000

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