Update README.md

README.md

@@ -16,4 +16,42 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+pretty_name: LongBench2-128k-plus
+tags:
+  - long-context
+  - longbench
+  - language-modeling
+  - text-generation
+language:
+  - en
+license: apache-2.0
+task_categories:
+  - text-generation
+  - language-modeling
 ---
+
+# LongBench2-128k-plus
+
+LongBench2-128k-plus is a long-context corpus derived from the
+[zai-org/LongBench-v2](https://huggingface.co/datasets/zai-org/LongBench-v2)
+benchmark. It keeps only the "long" examples and exposes just the raw
+long documents, making it convenient for:
+
+- long-context pretraining or continued training,
+- long-context adaptation (e.g., RoPE scaling, attention tuning),
+- retrieval and RAG-style experimentation where only documents are needed.
+
+All question/answer and multiple-choice metadata from LongBench v2 are
+dropped; each row is a single long text.
+
+## Source dataset
+
+This dataset is a processed subset of:
+
+- **Original dataset:** `zai-org/LongBench-v2`
+- **Project page:** https://longbench2.github.io
+- **Paper:** LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks (arXiv:2412.15204)
+
+LongBench v2 is a long-context evaluation benchmark with contexts ranging from
+thousands to millions of words, spanning multiple realistic domains and task
+types (QA, multi-document reasoning, code, dialogue, and more).