Add dataset card

README.md

@@ -1,46 +1,108 @@
 ---
-dataset_info:
-  features:
-  - name: file_name
-    dtype: string
-  - name: language
-    dtype: string
-  - name: text
-    dtype: string
-  - name: stanza_tokens
-    dtype: int64
-  - name: mentions
-    list:
-    - name: COREF
-      dtype: string
-    - name: onset
-      dtype: int64
-    - name: offset
-      dtype: int64
-    - name: type
-      dtype: string
-  - name: sentence_spans
-    sequence:
-      sequence: int64
-  splits:
-  - name: train
-    num_bytes: 93140145
-    num_examples: 45
-  - name: validation
-    num_bytes: 4638267
-    num_examples: 5
-  - name: test
-    num_bytes: 2150714
-    num_examples: 3
-  download_size: 42645667
-  dataset_size: 99929126
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+license: cc-by-nc-sa-4.0
+language:
+- en
+tags:
+- Coreference Resolution
+- NER
+pretty_name: bookcoref
 ---
+
+# bookcoref
+
+## Dataset Summary
+
+This repository provides a standardized and reformatted version of the
+original **bookcoref** coreference resolution dataset.
+
+The purpose of this formatting is to provide a unified document structure
+across multiple coreference datasets in order to simplify:
+
+- cross-dataset comparison,
+- multilingual experimentation,
+- benchmarking of coreference resolution systems,
+- interoperability between NLP pipelines,
+- and reproducible evaluation settings.
+
+This repository does **not** introduce new annotations or modify the original
+coreference annotations. It only restructures the original dataset into a
+shared schema used across our benchmarking framework.
+
+---
+
+## Original Dataset
+
+This formatted version is derived from the dataset introduced in:
+
+[Giuliano Martinelli, Tommaso Bonomo, Pere-Lluís Huguet Cabot, and Roberto Navigli. 2025. *BOOKCOREF: Coreference Resolution at Book Scale.*](https://aclanthology.org/2025.acl-long.1197/)
+
+### Original Repository
+
+https://github.com/sapienzanlp/bookcoref
+
+### Citation
+
+If you use this dataset, please cite the original work:
+
+```bibtex
+@inproceedings{martinelli-etal-2025-bookcoref,
+    title = "{BOOKCOREF}: Coreference Resolution at Book Scale",
+    author = "Martinelli, Giuliano  and
+      Bonomo, Tommaso  and
+      Huguet Cabot, Pere-Llu{'i}s  and
+      Navigli, Roberto",
+    editor = "Che, Wanxiang  and
+      Nabende, Joyce  and
+      Shutova, Ekaterina  and
+      Pilehvar, Mohammad Taher",
+    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = jul,
+    year = "2025",
+    address = "Vienna, Austria",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.acl-long.1197/",
+    doi = "10.18653/v1/2025.acl-long.1197",
+    pages = "24526--24544",
+    ISBN = "979-8-89176-251-0",
+    }
+
+```
+---
+
+## Statistics
+
+| Statistic | Value |
+|---|---:|
+| Language | en |
+| Documents | 53 |
+| Sentences | 311,143 |
+| Tokens | 11,014,749 |
+| Characters | 51,989,137 |
+| Mentions | 991,633 |
+| Entities | 1,439 |
+
+---
+
+## Dataset Structure
+
+Each document contains:
+
+- `file_name`
+- `language`
+- `text`
+- `stanza_tokens`
+- `mentions`
+- `sentence_spans`
+
+### Mentions
+
+Each mention contains the following fields and additional fields per-dataset:
+
+- `onset`
+- `offset`
+- `COREF`
+
+---
+
+## Example
+