DCLM (DataComp for Language Models)
DCLM, short for DataComp for Language Models (also styled DataComp-LM), is an open benchmark, dataset, and software framework, released in June 2024
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DCLM, short for DataComp for Language Models (also styled DataComp-LM), is an open benchmark, dataset, and software framework, released in June 2024
LM Evaluation Harness (the Language Model Evaluation Harness, often abbreviated lm-eval or written lm-evaluation-harness) is an open-source software framework for measuring the performance of large language…
MTEB, short for Massive Text Embedding Benchmark, is the standard public leaderboard for evaluating text embedding models across many task types at once.
NVIDIA Isaac Lab-Arena is an open-source framework for composing simulated robot tasks and evaluating learned policies at scale.