Support HELMET #182
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Support HELMET #182
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lkk12014402
approved these changes
Nov 1, 2024
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please fix the pre-commit.ci issues |
Signed-off-by: Howard Yen <hyen@princeton.edu>
for more information, see https://pre-commit.ci
* add longbench Signed-off-by: Xinyao Wang <xinyao.wang@intel.com> * refine readme Signed-off-by: Xinyao Wang <xinyao.wang@intel.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Xinyao Wang <xinyao.wang@intel.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Signed-off-by: Howard Yen <hyen@princeton.edu>
Signed-off-by: Howard Yen <hyen@princeton.edu>
Signed-off-by: Howard Yen <hyen@princeton.edu>
for more information, see https://pre-commit.ci
Signed-off-by: Howard Yen <hyen@princeton.edu>
for more information, see https://pre-commit.ci
Signed-off-by: Howard Yen <hyen@princeton.edu>
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Description
Added HELMET to evaluation. HELMET is a comprehensive evaluation benchmark for long-context language models with application-centric tasks. It covers seven different categories: Retrieval-augmented Generation, Passage Re-ranking, Generation with Citations, ICL, Long-document QA, Summarization, and Synthetic Recall. These datasets are complemented with controllable length and robust evaluation.
Details and instructions for running the benchmark are in
HELMET/README.md.Paper link.
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Dependencies
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Tests
Describe the tests that you ran to verify your changes.
To test running the HELMET benchmark, we use
python eval.py --config configs/icl.yamlin theHELMETdirectory.We also tested the whole suite with
bash scripts/run_eval.sh.