Publish DataCite 2026-07 unique affiliation strings

README.md

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+---
+license: cc0-1.0
+language:
+  - multilingual
+pretty_name: DataCite 2026-07 Unique Affiliation Strings
+size_categories:
+  - 1M<n<10M
+tags:
+  - datacite
+  - affiliations
+  - scholarly-metadata
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/*.parquet
+---
+
+# DataCite 2026-07 Unique Affiliation Strings
+
+This dataset contains the exact unique, non-empty affiliation strings found on creators and contributors in the DataCite Monthly Data File for the 2026-07 release.
+
+## Contents
+
+- Rows: 1,680,322
+- Split: `train`
+- Column: `affiliation` (`string`)
+- Ordering: Unicode code-point sort for deterministic publication
+
+Uniqueness is exact and case-sensitive; strings are not normalized or language-filtered.
+
+## Provenance
+
+- Source: DataCite Monthly Data File, release 2026-07
+- Source bucket: `hf://buckets/cometadata/shared-storage/datacite-monthly-data-file-2026-07`
+- Input: 14,224 compressed JSONL files (40,973,486,014 bytes)
+- Extractor: [cometadata/match-datacite-affiliations-to-ror-ids](https://github.com/cometadata/match-datacite-affiliations-to-ror-ids)
+- Extractor commit: [`6ac67a976e20c7dd2e71ae8fdac4406157e418ce`](https://github.com/cometadata/match-datacite-affiliations-to-ror-ids/commit/6ac67a976e20c7dd2e71ae8fdac4406157e418ce)
+- Extraction command: `datacite-ror extract`
+- Generated: 2026-08-11T12:23:31.194427+00:00
+
+The raw sorted JSON array, Parquet file, and provenance metadata are also retained at `hf://buckets/cometadata/shared-storage/datacite-unique-affiliations-2026-07`.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("cometadata/2026-07-datacite-unique-affiliations")
+print(dataset["train"][0]["affiliation"])
+```
+
+## License
+
+Released under CC0 1.0, consistent with the DataCite public data source.

data/train-00000-of-00001.parquet

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+size 26378968