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# What does this PR do? DocVQA asks model to look a a picture, then answer a question given in text, with a text answer by text information in the picture. these questions often require understanding of relative positions of texts within the picture. original dataset is defined in the "Task1" of https://www.docvqa.org/datasets ## Test Plan setup llama server with ``` llama stack run ./llama_stack/templates/open-benchmark/run.yaml ``` then send traffic: ``` llama-stack-client eval run-benchmark "meta-reference-docvqa" --model-id meta-llama/Llama-3.3-70B-Instruct --output-dir /tmp/gpqa --num-examples 200 ``` |
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| .. | ||
| agents | ||
| datasetio | ||
| eval | ||
| inference | ||
| ios/inference | ||
| post_training | ||
| safety | ||
| scoring | ||
| telemetry | ||
| tool_runtime | ||
| vector_io | ||
| __init__.py | ||