[DRAFT] harness: Add Vidore V3 benchmark and BEIR metrics support#1378
Draft
jioffe502 wants to merge 4 commits intoNVIDIA:mainfrom
Draft
[DRAFT] harness: Add Vidore V3 benchmark and BEIR metrics support#1378jioffe502 wants to merge 4 commits intoNVIDIA:mainfrom
jioffe502 wants to merge 4 commits intoNVIDIA:mainfrom
Conversation
- Add 8 Vidore V3 dataset configurations (finance_en, industrial, computer_science, pharmaceuticals, hr, energy, physics, finance_fr) - Add vidore_load_ground_truth() using HuggingFace datasets API - Add vidore_recall() evaluator with PDF-only matching - Add extract_page_as_image, extract_method, image_elements_modality config options to support Vidore's OCR-based page image retrieval - Add datasets>=2.0.0 dependency for HuggingFace qrels loading Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> Signed-off-by: Jacob Ioffe <jioffe@nvidia.com>
- Add dataset_groups section to test_configs.yaml with vidore, vidore_english, vidore_quick groups - Add expand_dataset_names() in config.py to handle group expansion - Add --list-datasets CLI option to show available datasets and groups - Update README.md with dataset groups documentation Usage: uv run nv-ingest-harness-run --list-datasets uv run nv-ingest-harness-run --case=e2e_recall --dataset=vidore uv run nv-ingest-harness-run --case=e2e_recall --dataset=vidore_quick Note: test_configs.yaml includes temp test settings (vdb_backend: milvus, reranker_mode: none, modified vidore_quick) - revert after testing. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add optional BEIR evaluation (NDCG, MAP, Precision) to recall tests - Configurable via enable_beir in test_configs.yaml or ENABLE_BEIR env var - Add beir>=2.0.0 dependency to harness - Add nvidia/llama-nemotron-embed-vl-1b-v2 to known embedding models Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add embed model fallback detection (dim=1024 warning) to e2e.py and recall.py - Add Milvus collection vector dimension verification after ingestion - Enable BEIR metrics by default for all Vidore V3 datasets Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Jacob Ioffe <jioffe@nvidia.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
Adds Vidore V3 benchmark support and BEIR evaluation metrics to the test harness.
Changes
--dataset=vidore)Checklist