Link the Chinese DocEE-zh counterpart and clarify split provenance

README.md

@@ -31,7 +31,9 @@ configs:
 
 The English ontology contains **59 event types** and **356 distinct argument types**. The event types comprise **31 hard-news types** and **28 soft-news types**, with a dedicated argument schema for each event type.
 
-This dataset reformats the official English [DocEE dataset](https://github.com/tongmeihan1995/DocEE), using its **normal_setting** train/dev/test files. It contains one main event per document and preserves the original split membership and retained row order. The upstream `dev` split is named `validation` here. Chinese data and the cross-domain setting are not included.
+This dataset reformats the official English [DocEE dataset](https://github.com/tongmeihan1995/DocEE), using its **normal_setting** train/dev/test files. It contains one main event per document and preserves the original split membership and retained row order. The upstream `dev` split is named `validation` here. The cross-domain setting is not included.
+
+**Chinese counterpart:** [meihant/DocEE-zh](https://huggingface.co/datasets/meihant/DocEE-zh) provides Chinese news event extraction data, based on [Liu et al., Findings of EMNLP 2024](https://aclanthology.org/2024.findings-emnlp.35/). The Chinese paper describes 59 event types and 344 argument types; the downloadable Chinese JSON has 58 observed event labels. That release includes all retained records and a newly generated, reproducible stratified split. Both releases use the same four-field format, but their role vocabularies and split provenance differ; they are not presented as parallel translations.
 
 This Hugging Face release provides **27,478 documents**, with all roles from the corresponding event schema included in every record.