Update README

README.md

@@ -64,4 +64,92 @@ dataset_info:
     num_examples: 152
   download_size: 54361434
   dataset_size: 127513276
+language:
+- en
+pretty_name: BOOKCOREF
+size_categories:
+- 10M<n<100M
+tags:
+- coreference-resolution
+license: cc-by-sa-4.0
 ---
+
+
+<div align="center">
+  <img src="assets/bookcoref.png" width="700">
+</div>
+<!-- Aggiungi nome degli autori, ACL 2025, link  -->
+This repository contains the <span style="font-variant: small-caps;">BookCoref</span> dataset, introduced in the paper "<span style="font-variant: small-caps;">BookCoref</span>: Coreference Resolution at Book Scale" by [Martinelli et al., 2025]().
+
+
+We release both the manually-annotated `test` split (<span style="font-variant: small-caps;">BookCoref</span><sub>gold</sub>) and the pipeline-generated `train` and `validation` splits (<span style="font-variant: small-caps;">BookCoref</span><sub>silver</sub>).
+In order to enable the replication of our results, we also release the splitted version of each split, available by adding the suffix `_splitted` to each split name.
+As specified in the paper, this version is obtained through chunking the text into contiguous windows of 1500 tokens, retaining the coreference clusters of each window.
+
+## 📚 Quickstart
+
+Simply load the dataset through Huggingface's `datasets` library:
+
+```python
+from datasets import load_dataset
+
+bookcoref = load_dataset("sapienzanlp/bookcoref")
+```
+
+## ℹ️ Data format
+
+<span style="font-variant: small-caps;">BookCoref</span> is a collection of annotated books. 
+Each item contains the annotations of one book following the structure of OntoNotes:
+
+```python
+{
+  doc_id: "pride_and_prejudice_142", # (str) i.e., id of document 
+  sentences: [["Pride", "and", "Prejudice", "."], ["Begin", ...], ...], # list[list[str]] i.e., list of word-tokenized sentences
+  clusters: [[[0,0], [3,5]], [[4,9]...], ...], # list[list[list[int]]] i.e., list of clusters' mention offsets
+  characters: [
+    {
+      name: "Mr.Bennet", 
+      cluster: [[0,0], ...],
+    },
+    {
+      name: "Mr. Darcy",
+      cluster: [[5,7], ...],
+    }
+  ] # list[character], list of characters objects with name and his mentions offsets, i,e., dict(name: str, cluster: list[list[int]])
+}
+```
+<!-- Add description of fields in example, maybe OntoNotes format is not enough -->
+We also include information on character names, which is not exploited in traditional coreference settings, but can be useful in future works.
+
+## 📊 Dataset statistics
+
+<span style="font-variant: small-caps;">BookCoref</span> has distinctly book-scale characteristics, as summarized in the following table:
+
+<!-- chage to markdown table  -->
+<div align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/64f85270ceabf1e6fc524bb8/DgYU_2yKlZuwDTV-duGWh.png" width=1000/>
+</div>
+
+## 🖋️ Cite this work
+
+This work has been published at ACL 2025 (main conference). If you use any artifact of this dataset, please consider citing our paper as follows:
+
+```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",
+    booktitle = "Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = jul,
+    year = "2025",
+    address = "Vienna, Austria",
+    publisher = "Association for Computational Linguistics",
+}
+```
+
+
+## ©️ License information
+
+All the annotations provided by this repository are licensed under the [Creative Commons Attribution Share Alike 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license. The tokenized text of books is a modification of books from Project Gutenberg, following [their license](https://www.gutenberg.org/policy/license.html).