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Add task category, link to Github repo (#2)

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- Add task category, link to Github repo (1c15cc3d9ac2588962d55d579a19677ddceca2de)


Co-authored-by: Niels Rogge <[email protected]>

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  1. README.md +26 -28
README.md CHANGED
@@ -3,41 +3,39 @@ license: mit
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  configs:
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  - config_name: multi_needle_reasoning_needle
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  data_files:
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- - split: test
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- path:
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- - "multi_needle_reasoning_zh.json"
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- - "multi_needle_reasoning_en.json"
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  - config_name: zh_haystack_texts
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  data_files:
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- - split: test
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- path:
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- - "zh_finance.jsonl"
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- - "zh_game.jsonl"
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- - "zh_general.jsonl"
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- - "zh_government.jsonl"
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- - "zh_movie.jsonl"
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- - "zh_tech.jsonl"
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  - config_name: en_haystack_texts
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  data_files:
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- - split: test
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- path:
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- - "PaulGrahamEssays.jsonl"
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  - config_name: atc_needles
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  data_files:
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- - split: test
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- path:
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- - "names.json"
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  - config_name: retrieval_needles
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  data_files:
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- - split: test
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- path:
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- - "needles.jsonl"
 
 
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  ---
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-
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-
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-
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-
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  # Dataset Description
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  ## Dataset Summary
@@ -57,7 +55,6 @@ The NeedleBench dataset is a part of the OpenCompass project, designed to evalua
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  The dataset supports multiple languages, including English and Chinese, as indicated by the presence of files like `multi_needle_reasoning_en.json` and `multi_needle_reasoning_zh.json`.
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-
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  ## Potential Use Cases
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  The NeedleBench dataset can be used to evaluate and compare the performance of different large language models in tasks involving long text processing, information extraction, and reasoning. It is useful for researchers and developers working on models that need to handle complex queries on extensive documents.
@@ -70,11 +67,12 @@ Please follow the provided guidelines in the [OpenCompass documentation](https:/
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  For more details on the dataset, please refer to the [NeedleBench Technical Report](https://arxiv.org/abs/2407.11963).
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  ## Contact
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  For any questions or issues related to the dataset, please contact the maintainers or contributors of the [OpenCompass project](https://github.com/open-compass/opencompass).
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-
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  ## Citation
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  If you use this dataset, please add a reference:
@@ -89,4 +87,4 @@ If you use this dataset, please add a reference:
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  primaryClass={cs.CL},
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  url={https://arxiv.org/abs/2407.11963},
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  }
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- ```
 
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  configs:
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  - config_name: multi_needle_reasoning_needle
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  data_files:
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+ - split: test
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+ path:
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+ - multi_needle_reasoning_zh.json
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+ - multi_needle_reasoning_en.json
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  - config_name: zh_haystack_texts
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  data_files:
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+ - split: test
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+ path:
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+ - zh_finance.jsonl
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+ - zh_game.jsonl
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+ - zh_general.jsonl
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+ - zh_government.jsonl
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+ - zh_movie.jsonl
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+ - zh_tech.jsonl
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  - config_name: en_haystack_texts
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  data_files:
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+ - split: test
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+ path:
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+ - PaulGrahamEssays.jsonl
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  - config_name: atc_needles
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  data_files:
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+ - split: test
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+ path:
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+ - names.json
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  - config_name: retrieval_needles
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  data_files:
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+ - split: test
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+ path:
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+ - needles.jsonl
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+ task_categories:
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+ - question-answering
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  ---
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  # Dataset Description
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  ## Dataset Summary
 
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  The dataset supports multiple languages, including English and Chinese, as indicated by the presence of files like `multi_needle_reasoning_en.json` and `multi_needle_reasoning_zh.json`.
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  ## Potential Use Cases
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  The NeedleBench dataset can be used to evaluate and compare the performance of different large language models in tasks involving long text processing, information extraction, and reasoning. It is useful for researchers and developers working on models that need to handle complex queries on extensive documents.
 
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  For more details on the dataset, please refer to the [NeedleBench Technical Report](https://arxiv.org/abs/2407.11963).
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+ Github repository: https://github.com/open-compass/opencompass
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+
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  ## Contact
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  For any questions or issues related to the dataset, please contact the maintainers or contributors of the [OpenCompass project](https://github.com/open-compass/opencompass).
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  ## Citation
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  If you use this dataset, please add a reference:
 
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  primaryClass={cs.CL},
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  url={https://arxiv.org/abs/2407.11963},
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  }
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+ ```