---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 314291200
    num_examples: 108
  download_size: 117688580
  dataset_size: 314291200
configs:
- config_name: default
  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
---

# 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).