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Created with Raphaël 2.2.012Jun1117May15141324Apr2212119872131Mar3029262518124explicitly set workers_use_ray to ensure vllm doesnt fallback to mp backend, leading to interference with communication with evaluatorsmastermasterAdd KG baseline using MockAPIAdd croissant.json.update links in baselines docUpdate download_baseline_model_weights.mdUpdate 3 filesUpdate batch_prediction_interface.mdMerge branch 'batch_predict_interface_v0' into 'master'aggregate config params in a single placeupdate batch prediction docsupdate baselines docsadd batch prediction interfaceUpdate dataset.mdUpdate dataset.mdUpdate timeout in starterkit docsAdd query_time as a parameter to the generate_answer interfaceuse lxml parser in baselineUpdate README.mdUpdate doc strings refering to search resultsupdate local evaluation to use the unified data schemaupdate dev data to use the same schema as the released dataUpdate rag_llama_baseline.pyUpdate baselines.mdUpdate user_config.pyMerge branch 'baseline-v0' into 'master'add baseline related docsUpdate local_evaluation.pyupdate docs# Please enter the commit message for your changes. Lines startingupdate docsupdate docsupdate readmeupdate readmeadd dataset docsUpdate local_evaluation.pyadd tokenizer + response trimmingupdate docsupdate submission docsadd docker ignorefix typoupdate local docker run script