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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 314291200 |
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num_examples: 108 |
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download_size: 117688580 |
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dataset_size: 314291200 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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pretty_name: LongBench2-128k-plus |
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tags: |
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- long-context |
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- longbench |
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- language-modeling |
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- text-generation |
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language: |
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- en |
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license: apache-2.0 |
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task_categories: |
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- text-generation |
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--- |
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# LongBench2-128k-plus |
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LongBench2-128k-plus is a long-context corpus derived from the |
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[zai-org/LongBench-v2](https://huggingface.co/datasets/zai-org/LongBench-v2) |
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benchmark. It keeps only the "long" examples and exposes just the raw |
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long documents, making it convenient for: |
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- long-context pretraining or continued training, |
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- long-context adaptation (e.g., RoPE scaling, attention tuning), |
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- retrieval and RAG-style experimentation where only documents are needed. |
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All question/answer and multiple-choice metadata from LongBench v2 are |
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dropped; each row is a single long text. |
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## Source dataset |
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This dataset is a processed subset of: |
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- **Original dataset:** `zai-org/LongBench-v2` |
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- **Project page:** https://longbench2.github.io |
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- **Paper:** LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks (arXiv:2412.15204) |
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LongBench v2 is a long-context evaluation benchmark with contexts ranging from |
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thousands to millions of words, spanning multiple realistic domains and task |
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types (QA, multi-document reasoning, code, dialogue, and more). |
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