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Benchmark v0.2.1: reproducible baselines and diagnostics
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +23 -0
- benchmarks/answer_reranking/v0.2.1/README.md +17 -0
- benchmarks/answer_reranking/v0.2.1/answer_length_test.md +51 -0
- benchmarks/answer_reranking/v0.2.1/answer_length_test_predictions.jsonl +127 -0
- benchmarks/answer_reranking/v0.2.1/answer_length_test_report.json +270 -0
- benchmarks/answer_reranking/v0.2.1/answer_length_test_run_manifest.json +24 -0
- benchmarks/answer_reranking/v0.2.1/answer_length_validation.md +51 -0
- benchmarks/answer_reranking/v0.2.1/answer_length_validation_predictions.jsonl +306 -0
- benchmarks/answer_reranking/v0.2.1/answer_length_validation_report.json +270 -0
- benchmarks/answer_reranking/v0.2.1/answer_length_validation_run_manifest.json +24 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_test.md +53 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_test_predictions.jsonl +127 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_test_report.json +270 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_test_run_manifest.json +27 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_validation.md +53 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_validation_predictions.jsonl +0 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_validation_report.json +270 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_validation_run_manifest.json +27 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.json +38 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.md +13 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.json +38 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.md +13 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.json +38 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.md +13 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.json +38 -0
- benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.md +13 -0
- benchmarks/answer_reranking/v0.2.1/bm25_test.md +51 -0
- benchmarks/answer_reranking/v0.2.1/bm25_test_predictions.jsonl +127 -0
- benchmarks/answer_reranking/v0.2.1/bm25_test_report.json +270 -0
- benchmarks/answer_reranking/v0.2.1/bm25_test_run_manifest.json +26 -0
- benchmarks/answer_reranking/v0.2.1/bm25_validation.md +51 -0
- benchmarks/answer_reranking/v0.2.1/bm25_validation_predictions.jsonl +306 -0
- benchmarks/answer_reranking/v0.2.1/bm25_validation_report.json +270 -0
- benchmarks/answer_reranking/v0.2.1/bm25_validation_run_manifest.json +26 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_test.md +53 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_test_predictions.jsonl +127 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_test_report.json +270 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_test_run_manifest.json +27 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_validation.md +53 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_predictions.jsonl +0 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_report.json +270 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_run_manifest.json +27 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.json +38 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.md +13 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.json +38 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.md +13 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.json +38 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.md +13 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.json +38 -0
- benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.md +13 -0
README.md
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@@ -158,6 +158,29 @@ Disagreement totals across the 3,409 questions are:
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| `accepted_tied_top` | 739 |
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| `accepted_below_top` | 471 |
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## Provenance and licensing
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The release uses the Stack Exchange 2026-Q1 dump, cut off on 2026-03-31. The
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| `accepted_tied_top` | 739 |
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| `accepted_below_top` | 471 |
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## Benchmark release history
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### v0.2.1 (benchmark/code; base Parquet unchanged)
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This release adds reproducible CPU reports for random, answer-length, BM25,
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`BAAI/bge-small-en-v1.5`, and
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`cross-encoder/ms-marco-MiniLM-L-6-v2`. Each run stores the input hash, model
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revision, package versions, prediction hash and runtime. Evaluation adds
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question-level bootstrap confidence intervals, per-site macro reporting,
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paired model comparisons, and a reporting-only answer-length spread slice.
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| Test model | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
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| --- | ---: | ---: | ---: | ---: |
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| Random | 0.4724 | 0.7214 | 0.5354 | 0.8631 |
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| Answer length | 0.6142 | 0.7982 | 0.7323 | 0.9275 |
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| BM25 | 0.5276 | 0.7552 | 0.6535 | 0.9101 |
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| BGE-small | 0.6299 | 0.8091 | 0.6772 | 0.9112 |
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| MS MARCO MiniLM cross-encoder | 0.5591 | 0.7690 | 0.5906 | 0.8841 |
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These remain behavioral metrics over accepted status and votes. They do not
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establish factual answer quality. The paired comparisons and 95% confidence
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intervals are part of the versioned benchmark artifacts.
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## Provenance and licensing
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The release uses the Stack Exchange 2026-Q1 dump, cut off on 2026-03-31. The
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benchmarks/answer_reranking/v0.2.1/README.md
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# Answer reranking benchmark v0.2.1
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This is a benchmark/code release over immutable Community QA Lab `v0.2.0` Parquet data.
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It does not add dataset columns or modify the public data files.
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## Test summary
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| Model | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
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| --- | ---: | ---: | ---: | ---: |
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| random | 0.4724 | 0.7214 | 0.5354 | 0.8631 |
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| answer_length | 0.6142 | 0.7982 | 0.7323 | 0.9275 |
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| bm25 | 0.5276 | 0.7552 | 0.6535 | 0.9101 |
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| bge_small | 0.6299 | 0.8091 | 0.6772 | 0.9112 |
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| cross_encoder | 0.5591 | 0.7690 | 0.5906 | 0.8841 |
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Each model/split has predictions, a run manifest with model revision and input hash, a JSON report, and Markdown report.
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Length slices use max/min answer whitespace-token ratio <= 2.0 (`length_matched`) or > 2.0 (`length_skewed`).
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benchmarks/answer_reranking/v0.2.1/answer_length_test.md
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# answer-length on test
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Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
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| Metric | Value with 95% bootstrap CI |
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| --- | ---: |
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| instances | 127 |
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| accepted_hit_at_1 | 0.6142 [0.5276, 0.7008] |
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| accepted_mrr | 0.7982 [0.7518, 0.8425] |
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| vote_top1_accuracy | 0.7323 [0.6535, 0.8110] |
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| vote_ndcg | 0.9275 [0.9045, 0.9485] |
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| pairwise_accuracy_clean | 0.6939 [0.5761, 0.8041] |
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## By disagreement label
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| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
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| --- | ---: | ---: | ---: | ---: | ---: |
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| accepted_below_top | 25 | 0.5200 [0.3200, 0.7200] | 0.7533 [0.6533, 0.8600] | 0.4800 [0.2800, 0.6800] | 0.8916 [0.8515, 0.9303] |
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| accepted_tied_top | 35 | 0.5143 [0.3429, 0.6857] | 0.7524 [0.6667, 0.8381] | 0.9714 [0.9143, 1.0000] | 0.9907 [0.9772, 1.0000] |
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| accepted_unique_top | 67 | 0.7015 [0.5970, 0.8060] | 0.8388 [0.7761, 0.8955] | 0.7015 [0.5970, 0.8060] | 0.9078 [0.8701, 0.9420] |
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## By source site
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| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
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| --- | ---: | ---: | ---: | ---: | ---: |
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| ai.stackexchange.com | 89 | 0.5955 [0.4944, 0.6966] | 0.7869 [0.7313, 0.8416] | 0.7416 [0.6517, 0.8315] | 0.9295 [0.9009, 0.9552] |
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| datascience.stackexchange.com | 38 | 0.6579 [0.5000, 0.8158] | 0.8246 [0.7456, 0.9035] | 0.7105 [0.5526, 0.8421] | 0.9228 [0.8826, 0.9579] |
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## Answer-length diagnostic
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| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
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| --- | ---: | ---: | ---: | ---: | ---: |
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| length_matched | 59 | 0.6102 [0.4746, 0.7288] | 0.8023 [0.7373, 0.8644] | 0.7458 [0.6271, 0.8475] | 0.9347 [0.9049, 0.9634] |
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| length_skewed | 68 | 0.6176 [0.5000, 0.7353] | 0.7946 [0.7304, 0.8559] | 0.7206 [0.6176, 0.8235] | 0.9212 [0.8870, 0.9519] |
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## Macro by source site
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Unweighted mean across 2 observed sites: accepted@1=0.6267, accepted MRR=0.8057, vote@1=0.7260, vote nDCG=0.9261.
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## Reproducibility
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- `device`: `cpu`
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- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
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- `prediction_sha256`: `69c0dd1e8b246fdbf731f85610b10aaa572ca628fb920a84fa06203b864e6ca9`
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- `total_runtime_ms`: `9.4559`
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Bootstrap: 10000 question-level resamples, seed=42.
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length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
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accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
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benchmarks/answer_reranking/v0.2.1/answer_length_test_predictions.jsonl
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{"instance_id": "ai.stackexchange.com:q:43301", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43304", "ai.stackexchange.com:a:43307"], "run_config_hash": "", "runtime_ms": 0.06290000055741984, "scores": [233.0, 107.0]}
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| 2 |
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{"instance_id": "ai.stackexchange.com:q:43453", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43455", "ai.stackexchange.com:a:43505"], "run_config_hash": "", "runtime_ms": 0.029799999538226984, "scores": [109.0, 71.0]}
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| 3 |
+
{"instance_id": "ai.stackexchange.com:q:43471", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43473", "ai.stackexchange.com:a:45124"], "run_config_hash": "", "runtime_ms": 0.02860000131477136, "scores": [148.0, 34.0]}
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| 4 |
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{"instance_id": "ai.stackexchange.com:q:43547", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43581", "ai.stackexchange.com:a:43568"], "run_config_hash": "", "runtime_ms": 0.022899999748915434, "scores": [134.0, 27.0]}
|
| 5 |
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{"instance_id": "ai.stackexchange.com:q:43550", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43552", "ai.stackexchange.com:a:43622", "ai.stackexchange.com:a:43551"], "run_config_hash": "", "runtime_ms": 0.10349999865866266, "scores": [340.0, 292.0, 104.0]}
|
| 6 |
+
{"instance_id": "ai.stackexchange.com:q:43641", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43692", "ai.stackexchange.com:a:43686"], "run_config_hash": "", "runtime_ms": 0.05779999992228113, "scores": [250.0, 194.0]}
|
| 7 |
+
{"instance_id": "ai.stackexchange.com:q:43805", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43808", "ai.stackexchange.com:a:43806"], "run_config_hash": "", "runtime_ms": 0.04079999962414149, "scores": [168.0, 133.0]}
|
| 8 |
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{"instance_id": "ai.stackexchange.com:q:43820", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:44938", "ai.stackexchange.com:a:43861", "ai.stackexchange.com:a:43859"], "run_config_hash": "", "runtime_ms": 0.030800001695752144, "scores": [84.0, 82.0, 58.0]}
|
| 9 |
+
{"instance_id": "ai.stackexchange.com:q:43826", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43895", "ai.stackexchange.com:a:43829"], "run_config_hash": "", "runtime_ms": 0.060599999414989725, "scores": [296.0, 160.0]}
|
| 10 |
+
{"instance_id": "ai.stackexchange.com:q:43868", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:43891", "ai.stackexchange.com:a:43873"], "run_config_hash": "", "runtime_ms": 0.050799999371520244, "scores": [279.0, 114.0]}
|
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benchmarks/answer_reranking/v0.2.1/answer_length_test_report.json
ADDED
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|
| 1 |
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| 4 |
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| 227 |
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| 228 |
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| 229 |
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|
| 230 |
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"length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
|
| 231 |
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| 232 |
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| 244 |
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| 247 |
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| 248 |
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| 249 |
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0.9485237373866057
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| 263 |
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| 264 |
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| 269 |
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}
|
| 270 |
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}
|
benchmarks/answer_reranking/v0.2.1/answer_length_test_run_manifest.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"artifact_type": "community_qa_lab_benchmark_run",
|
| 3 |
+
"created_at": "2026-08-09T18:59:23.955354+00:00",
|
| 4 |
+
"device": "cpu",
|
| 5 |
+
"input_path": "data\\processed\\v0.2.0\\test.parquet",
|
| 6 |
+
"input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
|
| 7 |
+
"model_id": "answer-length",
|
| 8 |
+
"package_versions": {
|
| 9 |
+
"huggingface-hub": "1.27.0",
|
| 10 |
+
"pyarrow": "25.0.0",
|
| 11 |
+
"sentence-transformers": "5.5.1",
|
| 12 |
+
"torch": "2.11.0+cu128",
|
| 13 |
+
"transformers": "5.7.0"
|
| 14 |
+
},
|
| 15 |
+
"prediction_count": 127,
|
| 16 |
+
"prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\answer_length_test_predictions.jsonl",
|
| 17 |
+
"prediction_run_config_hashes": [
|
| 18 |
+
""
|
| 19 |
+
],
|
| 20 |
+
"prediction_sha256": "69c0dd1e8b246fdbf731f85610b10aaa572ca628fb920a84fa06203b864e6ca9",
|
| 21 |
+
"python_version": "3.11.9",
|
| 22 |
+
"ranker_class": "AnswerLengthRanker",
|
| 23 |
+
"total_runtime_ms": 9.4559
|
| 24 |
+
}
|
benchmarks/answer_reranking/v0.2.1/answer_length_validation.md
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
# answer-length on validation
|
| 2 |
+
|
| 3 |
+
Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
|
| 4 |
+
|
| 5 |
+
| Metric | Value with 95% bootstrap CI |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| instances | 306 |
|
| 8 |
+
| accepted_hit_at_1 | 0.6503 [0.5980, 0.7026] |
|
| 9 |
+
| accepted_mrr | 0.8170 [0.7889, 0.8445] |
|
| 10 |
+
| vote_top1_accuracy | 0.7124 [0.6601, 0.7614] |
|
| 11 |
+
| vote_ndcg | 0.9218 [0.9072, 0.9358] |
|
| 12 |
+
| pairwise_accuracy_clean | 0.7018 [0.6354, 0.7661] |
|
| 13 |
+
|
| 14 |
+
## By disagreement label
|
| 15 |
+
|
| 16 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 17 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 18 |
+
| accepted_below_top | 43 | 0.5814 [0.4186, 0.7209] | 0.7771 [0.6957, 0.8566] | 0.3256 [0.1860, 0.4651] | 0.8321 [0.7936, 0.8706] |
|
| 19 |
+
| accepted_tied_top | 96 | 0.6667 [0.5729, 0.7604] | 0.8255 [0.7734, 0.8759] | 0.9792 [0.9479, 1.0000] | 0.9946 [0.9882, 0.9995] |
|
| 20 |
+
| accepted_unique_top | 167 | 0.6587 [0.5868, 0.7305] | 0.8224 [0.7839, 0.8593] | 0.6587 [0.5868, 0.7305] | 0.9031 [0.8816, 0.9244] |
|
| 21 |
+
|
| 22 |
+
## By source site
|
| 23 |
+
|
| 24 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 25 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 26 |
+
| ai.stackexchange.com | 113 | 0.6195 [0.5310, 0.7080] | 0.7994 [0.7507, 0.8466] | 0.6637 [0.5752, 0.7434] | 0.9053 [0.8793, 0.9301] |
|
| 27 |
+
| datascience.stackexchange.com | 193 | 0.6684 [0.6010, 0.7358] | 0.8273 [0.7919, 0.8623] | 0.7409 [0.6788, 0.8031] | 0.9315 [0.9135, 0.9482] |
|
| 28 |
+
|
| 29 |
+
## Answer-length diagnostic
|
| 30 |
+
|
| 31 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 32 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 33 |
+
| length_matched | 124 | 0.5726 [0.4839, 0.6613] | 0.7863 [0.7419, 0.8306] | 0.6935 [0.6129, 0.7742] | 0.9212 [0.8987, 0.9424] |
|
| 34 |
+
| length_skewed | 182 | 0.7033 [0.6374, 0.7692] | 0.8379 [0.8004, 0.8741] | 0.7253 [0.6593, 0.7857] | 0.9223 [0.9031, 0.9405] |
|
| 35 |
+
|
| 36 |
+
## Macro by source site
|
| 37 |
+
|
| 38 |
+
Unweighted mean across 2 observed sites: accepted@1=0.6439, accepted MRR=0.8133, vote@1=0.7023, vote nDCG=0.9184.
|
| 39 |
+
|
| 40 |
+
## Reproducibility
|
| 41 |
+
|
| 42 |
+
- `device`: `cpu`
|
| 43 |
+
- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
|
| 44 |
+
- `prediction_sha256`: `d61d15498c5c9b5fe708806597022b805641982fd56c107fb1b19c8237452409`
|
| 45 |
+
- `total_runtime_ms`: `27.246`
|
| 46 |
+
|
| 47 |
+
Bootstrap: 10000 question-level resamples, seed=42.
|
| 48 |
+
|
| 49 |
+
length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
|
| 50 |
+
|
| 51 |
+
accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
|
benchmarks/answer_reranking/v0.2.1/answer_length_validation_predictions.jsonl
ADDED
|
@@ -0,0 +1,306 @@
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|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"instance_id": "ai.stackexchange.com:q:34004", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34052", "ai.stackexchange.com:a:34033"], "run_config_hash": "", "runtime_ms": 0.07209999967017211, "scores": [225.0, 70.0]}
|
| 2 |
+
{"instance_id": "ai.stackexchange.com:q:34043", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34047", "ai.stackexchange.com:a:34044"], "run_config_hash": "", "runtime_ms": 0.09990000035031699, "scores": [402.0, 44.0]}
|
| 3 |
+
{"instance_id": "ai.stackexchange.com:q:34071", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34072", "ai.stackexchange.com:a:34073"], "run_config_hash": "", "runtime_ms": 0.07100000038917642, "scores": [255.0, 244.0]}
|
| 4 |
+
{"instance_id": "ai.stackexchange.com:q:34244", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34246", "ai.stackexchange.com:a:37382"], "run_config_hash": "", "runtime_ms": 0.07199999890872277, "scores": [311.0, 161.0]}
|
| 5 |
+
{"instance_id": "ai.stackexchange.com:q:34284", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34629", "ai.stackexchange.com:a:34665"], "run_config_hash": "", "runtime_ms": 0.08130000060191378, "scores": [433.0, 138.0]}
|
| 6 |
+
{"instance_id": "ai.stackexchange.com:q:34342", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34343", "ai.stackexchange.com:a:36245"], "run_config_hash": "", "runtime_ms": 0.03740000101970509, "scores": [159.0, 70.0]}
|
| 7 |
+
{"instance_id": "ai.stackexchange.com:q:34408", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34410", "ai.stackexchange.com:a:34409"], "run_config_hash": "", "runtime_ms": 0.04310000076657161, "scores": [166.0, 145.0]}
|
| 8 |
+
{"instance_id": "ai.stackexchange.com:q:34452", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34456", "ai.stackexchange.com:a:34454"], "run_config_hash": "", "runtime_ms": 0.02750000021478627, "scores": [102.0, 89.0]}
|
| 9 |
+
{"instance_id": "ai.stackexchange.com:q:34729", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34735", "ai.stackexchange.com:a:34731"], "run_config_hash": "", "runtime_ms": 0.07139999979699496, "scores": [402.0, 112.0]}
|
| 10 |
+
{"instance_id": "ai.stackexchange.com:q:34851", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34853", "ai.stackexchange.com:a:34854"], "run_config_hash": "", "runtime_ms": 0.022000000171829015, "scores": [114.0, 36.0]}
|
| 11 |
+
{"instance_id": "ai.stackexchange.com:q:34928", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:34929", "ai.stackexchange.com:a:34930"], "run_config_hash": "", "runtime_ms": 0.05710000004910398, "scores": [216.0, 196.0]}
|
| 12 |
+
{"instance_id": "ai.stackexchange.com:q:35023", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35025", "ai.stackexchange.com:a:35027"], "run_config_hash": "", "runtime_ms": 0.16400000095018186, "scores": [688.0, 475.0]}
|
| 13 |
+
{"instance_id": "ai.stackexchange.com:q:35167", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35185", "ai.stackexchange.com:a:35230", "ai.stackexchange.com:a:41825"], "run_config_hash": "", "runtime_ms": 0.06140000004961621, "scores": [194.0, 132.0, 120.0]}
|
| 14 |
+
{"instance_id": "ai.stackexchange.com:q:35213", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35221", "ai.stackexchange.com:a:35223"], "run_config_hash": "", "runtime_ms": 0.06719999873894267, "scores": [415.0, 50.0]}
|
| 15 |
+
{"instance_id": "ai.stackexchange.com:q:35285", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35286", "ai.stackexchange.com:a:35287"], "run_config_hash": "", "runtime_ms": 0.16319999849656597, "scores": [416.0, 313.0]}
|
| 16 |
+
{"instance_id": "ai.stackexchange.com:q:35417", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35419", "ai.stackexchange.com:a:35418"], "run_config_hash": "", "runtime_ms": 0.0365999985660892, "scores": [188.0, 80.0]}
|
| 17 |
+
{"instance_id": "ai.stackexchange.com:q:35484", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35496", "ai.stackexchange.com:a:35490"], "run_config_hash": "", "runtime_ms": 0.05710000004910398, "scores": [226.0, 190.0]}
|
| 18 |
+
{"instance_id": "ai.stackexchange.com:q:35506", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35508", "ai.stackexchange.com:a:39783"], "run_config_hash": "", "runtime_ms": 0.0501000013173325, "scores": [303.0, 69.0]}
|
| 19 |
+
{"instance_id": "ai.stackexchange.com:q:35700", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35907", "ai.stackexchange.com:a:35884", "ai.stackexchange.com:a:35872"], "run_config_hash": "", "runtime_ms": 0.1996000009967247, "scores": [705.0, 137.0, 94.0]}
|
| 20 |
+
{"instance_id": "ai.stackexchange.com:q:35791", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35795", "ai.stackexchange.com:a:35797"], "run_config_hash": "", "runtime_ms": 0.22259999968810007, "scores": [460.0, 303.0]}
|
| 21 |
+
{"instance_id": "ai.stackexchange.com:q:35827", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35832", "ai.stackexchange.com:a:35837", "ai.stackexchange.com:a:35835", "ai.stackexchange.com:a:35831", "ai.stackexchange.com:a:35849", "ai.stackexchange.com:a:35828"], "run_config_hash": "", "runtime_ms": 0.2626999994390644, "scores": [308.0, 258.0, 155.0, 119.0, 93.0, 51.0]}
|
| 22 |
+
{"instance_id": "ai.stackexchange.com:q:35879", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:37833", "ai.stackexchange.com:a:35900"], "run_config_hash": "", "runtime_ms": 0.12740000056510326, "scores": [255.0, 88.0]}
|
| 23 |
+
{"instance_id": "ai.stackexchange.com:q:35934", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:35954", "ai.stackexchange.com:a:35937"], "run_config_hash": "", "runtime_ms": 0.05400000009103678, "scores": [125.0, 112.0]}
|
| 24 |
+
{"instance_id": "ai.stackexchange.com:q:35987", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:36001", "ai.stackexchange.com:a:36037"], "run_config_hash": "", "runtime_ms": 0.019600000086938962, "scores": [60.0, 40.0]}
|
| 25 |
+
{"instance_id": "ai.stackexchange.com:q:36056", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:36678", "ai.stackexchange.com:a:43252"], "run_config_hash": "", "runtime_ms": 0.046299999667098746, "scores": [172.0, 107.0]}
|
| 26 |
+
{"instance_id": "ai.stackexchange.com:q:36073", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:40490", "ai.stackexchange.com:a:36080"], "run_config_hash": "", "runtime_ms": 0.047199999244185165, "scores": [158.0, 132.0]}
|
| 27 |
+
{"instance_id": "ai.stackexchange.com:q:36087", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:36089", "ai.stackexchange.com:a:43807"], "run_config_hash": "", "runtime_ms": 0.16649999997753184, "scores": [107.0, 58.0]}
|
| 28 |
+
{"instance_id": "ai.stackexchange.com:q:36118", "model_id": "answer-length", "ranked_answer_ids": ["ai.stackexchange.com:a:36120", "ai.stackexchange.com:a:36250"], "run_config_hash": "", "runtime_ms": 0.05030000102124177, "scores": [156.0, 146.0]}
|
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benchmarks/answer_reranking/v0.2.1/answer_length_validation_report.json
ADDED
|
@@ -0,0 +1,270 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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|
| 100 |
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|
| 101 |
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},
|
| 102 |
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|
| 103 |
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"accepted_hit_at_1": 0.6666666666666666,
|
| 104 |
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|
| 105 |
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| 106 |
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|
| 107 |
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|
| 108 |
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0.5729166666666666,
|
| 109 |
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0.7604166666666666
|
| 110 |
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],
|
| 111 |
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"accepted_mrr": [
|
| 112 |
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0.7734375,
|
| 113 |
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0.8758680555555557
|
| 114 |
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],
|
| 115 |
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"pairwise_accuracy_clean": [
|
| 116 |
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0.5,
|
| 117 |
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1.0
|
| 118 |
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],
|
| 119 |
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"vote_ndcg": [
|
| 120 |
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0.988221047663756,
|
| 121 |
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0.9994941943644496
|
| 122 |
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],
|
| 123 |
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|
| 124 |
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0.9479166666666666,
|
| 125 |
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1.0
|
| 126 |
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]
|
| 127 |
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},
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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},
|
| 133 |
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|
| 134 |
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|
| 135 |
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| 136 |
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| 137 |
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|
| 138 |
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|
| 139 |
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0.5868263473053892,
|
| 140 |
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0.7305389221556886
|
| 141 |
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],
|
| 142 |
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"accepted_mrr": [
|
| 143 |
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0.783932135728543,
|
| 144 |
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0.8592814371257484
|
| 145 |
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],
|
| 146 |
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"pairwise_accuracy_clean": [
|
| 147 |
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0.6171171171171171,
|
| 148 |
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0.7560975609756098
|
| 149 |
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],
|
| 150 |
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"vote_ndcg": [
|
| 151 |
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0.8815535118228413,
|
| 152 |
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0.9243614268597328
|
| 153 |
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],
|
| 154 |
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"vote_top1_accuracy": [
|
| 155 |
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0.5868263473053892,
|
| 156 |
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0.7305389221556886
|
| 157 |
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]
|
| 158 |
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},
|
| 159 |
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"instances": 167,
|
| 160 |
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"pairwise_accuracy_clean": 0.6889952153110048,
|
| 161 |
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|
| 162 |
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|
| 163 |
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}
|
| 164 |
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},
|
| 165 |
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"by_source_site": {
|
| 166 |
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"ai.stackexchange.com": {
|
| 167 |
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"accepted_hit_at_1": 0.6194690265486725,
|
| 168 |
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"accepted_mrr": 0.799410029498525,
|
| 169 |
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"clean_pair_count": 102,
|
| 170 |
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"confidence_intervals_95": {
|
| 171 |
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"accepted_hit_at_1": [
|
| 172 |
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0.5309734513274337,
|
| 173 |
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0.7079646017699115
|
| 174 |
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],
|
| 175 |
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"accepted_mrr": [
|
| 176 |
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0.7507374631268438,
|
| 177 |
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0.8466076696165191
|
| 178 |
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],
|
| 179 |
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"pairwise_accuracy_clean": [
|
| 180 |
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0.5542168674698795,
|
| 181 |
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0.7666666666666667
|
| 182 |
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],
|
| 183 |
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"vote_ndcg": [
|
| 184 |
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0.879256361828973,
|
| 185 |
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0.9300622026873272
|
| 186 |
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],
|
| 187 |
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"vote_top1_accuracy": [
|
| 188 |
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0.5752212389380531,
|
| 189 |
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0.7433628318584071
|
| 190 |
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]
|
| 191 |
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},
|
| 192 |
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"instances": 113,
|
| 193 |
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"pairwise_accuracy_clean": 0.6666666666666666,
|
| 194 |
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"vote_ndcg": 0.9053291795169399,
|
| 195 |
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"vote_top1_accuracy": 0.6637168141592921
|
| 196 |
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},
|
| 197 |
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"datascience.stackexchange.com": {
|
| 198 |
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"accepted_hit_at_1": 0.6683937823834197,
|
| 199 |
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"accepted_mrr": 0.8272884283246978,
|
| 200 |
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"clean_pair_count": 126,
|
| 201 |
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"confidence_intervals_95": {
|
| 202 |
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"accepted_hit_at_1": [
|
| 203 |
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0.6010362694300518,
|
| 204 |
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0.7357512953367875
|
| 205 |
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],
|
| 206 |
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"accepted_mrr": [
|
| 207 |
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0.7918825561312607,
|
| 208 |
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0.8622625215889465
|
| 209 |
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],
|
| 210 |
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"pairwise_accuracy_clean": [
|
| 211 |
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0.6466165413533834,
|
| 212 |
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0.8129496402877698
|
| 213 |
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],
|
| 214 |
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"vote_ndcg": [
|
| 215 |
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0.9135203386490999,
|
| 216 |
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0.9482055595931541
|
| 217 |
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],
|
| 218 |
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"vote_top1_accuracy": [
|
| 219 |
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0.6787564766839378,
|
| 220 |
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0.8031088082901554
|
| 221 |
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]
|
| 222 |
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},
|
| 223 |
+
"instances": 193,
|
| 224 |
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"pairwise_accuracy_clean": 0.7301587301587301,
|
| 225 |
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"vote_ndcg": 0.9315019109948789,
|
| 226 |
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"vote_top1_accuracy": 0.7409326424870466
|
| 227 |
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}
|
| 228 |
+
},
|
| 229 |
+
"diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
|
| 230 |
+
"length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
|
| 231 |
+
"macro_by_source_site": {
|
| 232 |
+
"accepted_hit_at_1": 0.6439314044660461,
|
| 233 |
+
"accepted_mrr": 0.8133492289116114,
|
| 234 |
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"pairwise_accuracy_clean": 0.6984126984126984,
|
| 235 |
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"sites": 2,
|
| 236 |
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"vote_ndcg": 0.9184155452559094,
|
| 237 |
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"vote_top1_accuracy": 0.7023247283231693
|
| 238 |
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},
|
| 239 |
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"overall": {
|
| 240 |
+
"accepted_hit_at_1": 0.6503267973856209,
|
| 241 |
+
"accepted_mrr": 0.8169934640522877,
|
| 242 |
+
"clean_pair_count": 228,
|
| 243 |
+
"confidence_intervals_95": {
|
| 244 |
+
"accepted_hit_at_1": [
|
| 245 |
+
0.5980392156862745,
|
| 246 |
+
0.7026143790849673
|
| 247 |
+
],
|
| 248 |
+
"accepted_mrr": [
|
| 249 |
+
0.7889433551198257,
|
| 250 |
+
0.8444989106753815
|
| 251 |
+
],
|
| 252 |
+
"pairwise_accuracy_clean": [
|
| 253 |
+
0.6354166666666666,
|
| 254 |
+
0.7660550458715596
|
| 255 |
+
],
|
| 256 |
+
"vote_ndcg": [
|
| 257 |
+
0.9071662740858462,
|
| 258 |
+
0.9357926688070553
|
| 259 |
+
],
|
| 260 |
+
"vote_top1_accuracy": [
|
| 261 |
+
0.6601307189542484,
|
| 262 |
+
0.761437908496732
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
"instances": 306,
|
| 266 |
+
"pairwise_accuracy_clean": 0.7017543859649122,
|
| 267 |
+
"vote_ndcg": 0.9218368173445288,
|
| 268 |
+
"vote_top1_accuracy": 0.7124183006535948
|
| 269 |
+
}
|
| 270 |
+
}
|
benchmarks/answer_reranking/v0.2.1/answer_length_validation_run_manifest.json
ADDED
|
@@ -0,0 +1,24 @@
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|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"artifact_type": "community_qa_lab_benchmark_run",
|
| 3 |
+
"created_at": "2026-08-09T18:58:37.341572+00:00",
|
| 4 |
+
"device": "cpu",
|
| 5 |
+
"input_path": "data\\processed\\v0.2.0\\validation.parquet",
|
| 6 |
+
"input_sha256": "264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef",
|
| 7 |
+
"model_id": "answer-length",
|
| 8 |
+
"package_versions": {
|
| 9 |
+
"huggingface-hub": "1.27.0",
|
| 10 |
+
"pyarrow": "25.0.0",
|
| 11 |
+
"sentence-transformers": "5.5.1",
|
| 12 |
+
"torch": "2.11.0+cu128",
|
| 13 |
+
"transformers": "5.7.0"
|
| 14 |
+
},
|
| 15 |
+
"prediction_count": 306,
|
| 16 |
+
"prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\answer_length_validation_predictions.jsonl",
|
| 17 |
+
"prediction_run_config_hashes": [
|
| 18 |
+
""
|
| 19 |
+
],
|
| 20 |
+
"prediction_sha256": "d61d15498c5c9b5fe708806597022b805641982fd56c107fb1b19c8237452409",
|
| 21 |
+
"python_version": "3.11.9",
|
| 22 |
+
"ranker_class": "AnswerLengthRanker",
|
| 23 |
+
"total_runtime_ms": 27.246
|
| 24 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_test.md
ADDED
|
@@ -0,0 +1,53 @@
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|
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|
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|
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|
|
|
| 1 |
+
# bge-small-en-v1.5 on test
|
| 2 |
+
|
| 3 |
+
Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
|
| 4 |
+
|
| 5 |
+
| Metric | Value with 95% bootstrap CI |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| instances | 127 |
|
| 8 |
+
| accepted_hit_at_1 | 0.6299 [0.5433, 0.7165] |
|
| 9 |
+
| accepted_mrr | 0.8091 [0.7644, 0.8524] |
|
| 10 |
+
| vote_top1_accuracy | 0.6772 [0.5906, 0.7559] |
|
| 11 |
+
| vote_ndcg | 0.9112 [0.8866, 0.9339] |
|
| 12 |
+
| pairwise_accuracy_clean | 0.6837 [0.5895, 0.7763] |
|
| 13 |
+
|
| 14 |
+
## By disagreement label
|
| 15 |
+
|
| 16 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 17 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 18 |
+
| accepted_below_top | 25 | 0.5200 [0.3200, 0.7200] | 0.7467 [0.6400, 0.8533] | 0.4400 [0.2400, 0.6400] | 0.8677 [0.8182, 0.9155] |
|
| 19 |
+
| accepted_tied_top | 35 | 0.7714 [0.6286, 0.9143] | 0.8857 [0.8143, 0.9571] | 1.0000 [1.0000, 1.0000] | 0.9979 [0.9937, 1.0000] |
|
| 20 |
+
| accepted_unique_top | 67 | 0.5970 [0.4776, 0.7164] | 0.7923 [0.7313, 0.8507] | 0.5970 [0.4776, 0.7164] | 0.8821 [0.8440, 0.9177] |
|
| 21 |
+
|
| 22 |
+
## By source site
|
| 23 |
+
|
| 24 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 25 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 26 |
+
| ai.stackexchange.com | 89 | 0.5955 [0.4944, 0.6966] | 0.7912 [0.7369, 0.8427] | 0.6629 [0.5618, 0.7528] | 0.9075 [0.8770, 0.9352] |
|
| 27 |
+
| datascience.stackexchange.com | 38 | 0.7105 [0.5526, 0.8421] | 0.8509 [0.7719, 0.9211] | 0.7105 [0.5526, 0.8421] | 0.9198 [0.8785, 0.9587] |
|
| 28 |
+
|
| 29 |
+
## Answer-length diagnostic
|
| 30 |
+
|
| 31 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 32 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 33 |
+
| length_matched | 59 | 0.6441 [0.5254, 0.7627] | 0.8192 [0.7542, 0.8785] | 0.6780 [0.5593, 0.7966] | 0.9218 [0.8903, 0.9505] |
|
| 34 |
+
| length_skewed | 68 | 0.6176 [0.5000, 0.7353] | 0.8002 [0.7377, 0.8603] | 0.6765 [0.5588, 0.7794] | 0.9020 [0.8651, 0.9360] |
|
| 35 |
+
|
| 36 |
+
## Macro by source site
|
| 37 |
+
|
| 38 |
+
Unweighted mean across 2 observed sites: accepted@1=0.6530, accepted MRR=0.8210, vote@1=0.6867, vote nDCG=0.9137.
|
| 39 |
+
|
| 40 |
+
## Reproducibility
|
| 41 |
+
|
| 42 |
+
- `model_name`: `BAAI/bge-small-en-v1.5`
|
| 43 |
+
- `model_revision`: `5c38ec7c405ec4b44b94cc5a9bb96e735b38267a`
|
| 44 |
+
- `device`: `cpu`
|
| 45 |
+
- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
|
| 46 |
+
- `prediction_sha256`: `ed284560aedc326563b2f9298bfe592de5aa87a380d8ce89d1a73d94a3a628f6`
|
| 47 |
+
- `total_runtime_ms`: `46253.0742`
|
| 48 |
+
|
| 49 |
+
Bootstrap: 10000 question-level resamples, seed=42.
|
| 50 |
+
|
| 51 |
+
length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
|
| 52 |
+
|
| 53 |
+
accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
|
benchmarks/answer_reranking/v0.2.1/bge_small_test_predictions.jsonl
ADDED
|
@@ -0,0 +1,127 @@
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benchmarks/answer_reranking/v0.2.1/bge_small_test_report.json
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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| 7 |
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| 15 |
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| 17 |
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| 18 |
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| 21 |
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| 22 |
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| 23 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 39 |
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|
| 71 |
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| 73 |
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| 78 |
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| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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"length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
|
| 231 |
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|
| 232 |
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|
| 233 |
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|
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| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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0.7644356955380577,
|
| 250 |
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0.8523622047244095
|
| 251 |
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| 252 |
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|
| 253 |
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0.5894736842105263,
|
| 254 |
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| 255 |
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| 256 |
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|
| 257 |
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|
| 258 |
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| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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0.7559055118110236
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| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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|
| 267 |
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| 268 |
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|
| 269 |
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}
|
| 270 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_test_run_manifest.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"artifact_type": "community_qa_lab_benchmark_run",
|
| 3 |
+
"created_at": "2026-08-09T19:02:58.990815+00:00",
|
| 4 |
+
"device": "cpu",
|
| 5 |
+
"input_path": "data\\processed\\v0.2.0\\test.parquet",
|
| 6 |
+
"input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
|
| 7 |
+
"model_id": "bge-small-en-v1.5",
|
| 8 |
+
"model_name": "BAAI/bge-small-en-v1.5",
|
| 9 |
+
"model_revision": "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a",
|
| 10 |
+
"package_versions": {
|
| 11 |
+
"huggingface-hub": "1.27.0",
|
| 12 |
+
"pyarrow": "25.0.0",
|
| 13 |
+
"sentence-transformers": "5.5.1",
|
| 14 |
+
"torch": "2.11.0+cu128",
|
| 15 |
+
"transformers": "5.7.0"
|
| 16 |
+
},
|
| 17 |
+
"prediction_count": 127,
|
| 18 |
+
"prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\bge_small_test_predictions.jsonl",
|
| 19 |
+
"prediction_run_config_hashes": [
|
| 20 |
+
"188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828"
|
| 21 |
+
],
|
| 22 |
+
"prediction_sha256": "ed284560aedc326563b2f9298bfe592de5aa87a380d8ce89d1a73d94a3a628f6",
|
| 23 |
+
"python_version": "3.11.9",
|
| 24 |
+
"ranker_class": "DenseBiEncoderRanker",
|
| 25 |
+
"run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828",
|
| 26 |
+
"total_runtime_ms": 46253.0742
|
| 27 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_validation.md
ADDED
|
@@ -0,0 +1,53 @@
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| 1 |
+
# bge-small-en-v1.5 on validation
|
| 2 |
+
|
| 3 |
+
Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
|
| 4 |
+
|
| 5 |
+
| Metric | Value with 95% bootstrap CI |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| instances | 306 |
|
| 8 |
+
| accepted_hit_at_1 | 0.5556 [0.5000, 0.6111] |
|
| 9 |
+
| accepted_mrr | 0.7635 [0.7324, 0.7929] |
|
| 10 |
+
| vote_top1_accuracy | 0.7190 [0.6667, 0.7680] |
|
| 11 |
+
| vote_ndcg | 0.9183 [0.9020, 0.9335] |
|
| 12 |
+
| pairwise_accuracy_clean | 0.6272 [0.5566, 0.6951] |
|
| 13 |
+
|
| 14 |
+
## By disagreement label
|
| 15 |
+
|
| 16 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 17 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 18 |
+
| accepted_below_top | 43 | 0.3721 [0.2326, 0.5116] | 0.6550 [0.5756, 0.7384] | 0.5349 [0.3953, 0.6744] | 0.8679 [0.8195, 0.9142] |
|
| 19 |
+
| accepted_tied_top | 96 | 0.5312 [0.4271, 0.6250] | 0.7543 [0.7014, 0.8073] | 0.9792 [0.9479, 1.0000] | 0.9941 [0.9858, 1.0000] |
|
| 20 |
+
| accepted_unique_top | 167 | 0.6168 [0.5449, 0.6886] | 0.7966 [0.7567, 0.8363] | 0.6168 [0.5449, 0.6886] | 0.8877 [0.8640, 0.9106] |
|
| 21 |
+
|
| 22 |
+
## By source site
|
| 23 |
+
|
| 24 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 25 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 26 |
+
| ai.stackexchange.com | 113 | 0.6106 [0.5221, 0.6991] | 0.7931 [0.7453, 0.8414] | 0.6726 [0.5841, 0.7611] | 0.8993 [0.8702, 0.9270] |
|
| 27 |
+
| datascience.stackexchange.com | 193 | 0.5233 [0.4508, 0.5959] | 0.7461 [0.7081, 0.7850] | 0.7461 [0.6839, 0.8083] | 0.9294 [0.9107, 0.9472] |
|
| 28 |
+
|
| 29 |
+
## Answer-length diagnostic
|
| 30 |
+
|
| 31 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 32 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 33 |
+
| length_matched | 124 | 0.5645 [0.4758, 0.6532] | 0.7809 [0.7366, 0.8253] | 0.7339 [0.6532, 0.8065] | 0.9250 [0.9013, 0.9469] |
|
| 34 |
+
| length_skewed | 182 | 0.5495 [0.4780, 0.6209] | 0.7516 [0.7103, 0.7917] | 0.7088 [0.6429, 0.7747] | 0.9137 [0.8922, 0.9342] |
|
| 35 |
+
|
| 36 |
+
## Macro by source site
|
| 37 |
+
|
| 38 |
+
Unweighted mean across 2 observed sites: accepted@1=0.5670, accepted MRR=0.7696, vote@1=0.7093, vote nDCG=0.9143.
|
| 39 |
+
|
| 40 |
+
## Reproducibility
|
| 41 |
+
|
| 42 |
+
- `model_name`: `BAAI/bge-small-en-v1.5`
|
| 43 |
+
- `model_revision`: `5c38ec7c405ec4b44b94cc5a9bb96e735b38267a`
|
| 44 |
+
- `device`: `cpu`
|
| 45 |
+
- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
|
| 46 |
+
- `prediction_sha256`: `e3ff38a4444c69771c237440ab76f12a5c05bfaf7e1f76e87c1ed003b9e33e3e`
|
| 47 |
+
- `total_runtime_ms`: `78925.6885`
|
| 48 |
+
|
| 49 |
+
Bootstrap: 10000 question-level resamples, seed=42.
|
| 50 |
+
|
| 51 |
+
length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
|
| 52 |
+
|
| 53 |
+
accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
|
benchmarks/answer_reranking/v0.2.1/bge_small_validation_predictions.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
benchmarks/answer_reranking/v0.2.1/bge_small_validation_report.json
ADDED
|
@@ -0,0 +1,270 @@
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bootstrap": {
|
| 3 |
+
"samples": 10000,
|
| 4 |
+
"seed": 42
|
| 5 |
+
},
|
| 6 |
+
"by_answer_length_spread": {
|
| 7 |
+
"length_matched": {
|
| 8 |
+
"accepted_hit_at_1": 0.5645161290322581,
|
| 9 |
+
"accepted_mrr": 0.7809139784946237,
|
| 10 |
+
"clean_pair_count": 70,
|
| 11 |
+
"confidence_intervals_95": {
|
| 12 |
+
"accepted_hit_at_1": [
|
| 13 |
+
0.47580645161290325,
|
| 14 |
+
0.6532258064516129
|
| 15 |
+
],
|
| 16 |
+
"accepted_mrr": [
|
| 17 |
+
0.7365591397849462,
|
| 18 |
+
0.825268817204301
|
| 19 |
+
],
|
| 20 |
+
"pairwise_accuracy_clean": [
|
| 21 |
+
0.5303030303030303,
|
| 22 |
+
0.7536231884057971
|
| 23 |
+
],
|
| 24 |
+
"vote_ndcg": [
|
| 25 |
+
0.9012661304643197,
|
| 26 |
+
0.9468530209511262
|
| 27 |
+
],
|
| 28 |
+
"vote_top1_accuracy": [
|
| 29 |
+
0.6532258064516129,
|
| 30 |
+
0.8064516129032258
|
| 31 |
+
]
|
| 32 |
+
},
|
| 33 |
+
"instances": 124,
|
| 34 |
+
"pairwise_accuracy_clean": 0.6428571428571429,
|
| 35 |
+
"vote_ndcg": 0.9249544696051184,
|
| 36 |
+
"vote_top1_accuracy": 0.7338709677419355
|
| 37 |
+
},
|
| 38 |
+
"length_skewed": {
|
| 39 |
+
"accepted_hit_at_1": 0.5494505494505495,
|
| 40 |
+
"accepted_mrr": 0.7515567765567764,
|
| 41 |
+
"clean_pair_count": 158,
|
| 42 |
+
"confidence_intervals_95": {
|
| 43 |
+
"accepted_hit_at_1": [
|
| 44 |
+
0.47802197802197804,
|
| 45 |
+
0.6208791208791209
|
| 46 |
+
],
|
| 47 |
+
"accepted_mrr": [
|
| 48 |
+
0.7102564102564102,
|
| 49 |
+
0.7916666666666665
|
| 50 |
+
],
|
| 51 |
+
"pairwise_accuracy_clean": [
|
| 52 |
+
0.5355191256830601,
|
| 53 |
+
0.7054794520547946
|
| 54 |
+
],
|
| 55 |
+
"vote_ndcg": [
|
| 56 |
+
0.8921604552868492,
|
| 57 |
+
0.9342410148801699
|
| 58 |
+
],
|
| 59 |
+
"vote_top1_accuracy": [
|
| 60 |
+
0.6428571428571429,
|
| 61 |
+
0.7747252747252747
|
| 62 |
+
]
|
| 63 |
+
},
|
| 64 |
+
"instances": 182,
|
| 65 |
+
"pairwise_accuracy_clean": 0.620253164556962,
|
| 66 |
+
"vote_ndcg": 0.9137286959375045,
|
| 67 |
+
"vote_top1_accuracy": 0.7087912087912088
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
"by_disagreement_label": {
|
| 71 |
+
"accepted_below_top": {
|
| 72 |
+
"accepted_hit_at_1": 0.37209302325581395,
|
| 73 |
+
"accepted_mrr": 0.6550387596899225,
|
| 74 |
+
"clean_pair_count": 8,
|
| 75 |
+
"confidence_intervals_95": {
|
| 76 |
+
"accepted_hit_at_1": [
|
| 77 |
+
0.23255813953488372,
|
| 78 |
+
0.5116279069767442
|
| 79 |
+
],
|
| 80 |
+
"accepted_mrr": [
|
| 81 |
+
0.5755813953488371,
|
| 82 |
+
0.7383720930232558
|
| 83 |
+
],
|
| 84 |
+
"pairwise_accuracy_clean": [
|
| 85 |
+
0.0,
|
| 86 |
+
1.0
|
| 87 |
+
],
|
| 88 |
+
"vote_ndcg": [
|
| 89 |
+
0.81946045039733,
|
| 90 |
+
0.9141531187192705
|
| 91 |
+
],
|
| 92 |
+
"vote_top1_accuracy": [
|
| 93 |
+
0.3953488372093023,
|
| 94 |
+
0.6744186046511628
|
| 95 |
+
]
|
| 96 |
+
},
|
| 97 |
+
"instances": 43,
|
| 98 |
+
"pairwise_accuracy_clean": 0.625,
|
| 99 |
+
"vote_ndcg": 0.8678825294163891,
|
| 100 |
+
"vote_top1_accuracy": 0.5348837209302325
|
| 101 |
+
},
|
| 102 |
+
"accepted_tied_top": {
|
| 103 |
+
"accepted_hit_at_1": 0.53125,
|
| 104 |
+
"accepted_mrr": 0.754340277777778,
|
| 105 |
+
"clean_pair_count": 11,
|
| 106 |
+
"confidence_intervals_95": {
|
| 107 |
+
"accepted_hit_at_1": [
|
| 108 |
+
0.4270833333333333,
|
| 109 |
+
0.625
|
| 110 |
+
],
|
| 111 |
+
"accepted_mrr": [
|
| 112 |
+
0.7013888888888888,
|
| 113 |
+
0.8072916666666666
|
| 114 |
+
],
|
| 115 |
+
"pairwise_accuracy_clean": [
|
| 116 |
+
0.3333333333333333,
|
| 117 |
+
1.0
|
| 118 |
+
],
|
| 119 |
+
"vote_ndcg": [
|
| 120 |
+
0.9858383652954332,
|
| 121 |
+
1.0
|
| 122 |
+
],
|
| 123 |
+
"vote_top1_accuracy": [
|
| 124 |
+
0.9479166666666666,
|
| 125 |
+
1.0
|
| 126 |
+
]
|
| 127 |
+
},
|
| 128 |
+
"instances": 96,
|
| 129 |
+
"pairwise_accuracy_clean": 0.6363636363636364,
|
| 130 |
+
"vote_ndcg": 0.9941072040406612,
|
| 131 |
+
"vote_top1_accuracy": 0.9791666666666666
|
| 132 |
+
},
|
| 133 |
+
"accepted_unique_top": {
|
| 134 |
+
"accepted_hit_at_1": 0.6167664670658682,
|
| 135 |
+
"accepted_mrr": 0.7966067864271456,
|
| 136 |
+
"clean_pair_count": 209,
|
| 137 |
+
"confidence_intervals_95": {
|
| 138 |
+
"accepted_hit_at_1": [
|
| 139 |
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0.5449101796407185,
|
| 140 |
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0.688622754491018
|
| 141 |
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],
|
| 142 |
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"accepted_mrr": [
|
| 143 |
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0.756686626746507,
|
| 144 |
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0.8363273453093814
|
| 145 |
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],
|
| 146 |
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"pairwise_accuracy_clean": [
|
| 147 |
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0.5560747663551402,
|
| 148 |
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0.6990291262135923
|
| 149 |
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],
|
| 150 |
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"vote_ndcg": [
|
| 151 |
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0.863991788082996,
|
| 152 |
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0.9106466036630178
|
| 153 |
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],
|
| 154 |
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"vote_top1_accuracy": [
|
| 155 |
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0.5449101796407185,
|
| 156 |
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0.688622754491018
|
| 157 |
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]
|
| 158 |
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},
|
| 159 |
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"instances": 167,
|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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}
|
| 164 |
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},
|
| 165 |
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"by_source_site": {
|
| 166 |
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"ai.stackexchange.com": {
|
| 167 |
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"accepted_hit_at_1": 0.6106194690265486,
|
| 168 |
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"accepted_mrr": 0.7930678466076697,
|
| 169 |
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"clean_pair_count": 102,
|
| 170 |
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"confidence_intervals_95": {
|
| 171 |
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"accepted_hit_at_1": [
|
| 172 |
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0.5221238938053098,
|
| 173 |
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0.6991150442477876
|
| 174 |
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],
|
| 175 |
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"accepted_mrr": [
|
| 176 |
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0.7452802359882006,
|
| 177 |
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0.8414454277286135
|
| 178 |
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],
|
| 179 |
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"pairwise_accuracy_clean": [
|
| 180 |
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0.5257731958762887,
|
| 181 |
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0.7319587628865979
|
| 182 |
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],
|
| 183 |
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"vote_ndcg": [
|
| 184 |
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0.870199546709152,
|
| 185 |
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0.9269602508820282
|
| 186 |
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],
|
| 187 |
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"vote_top1_accuracy": [
|
| 188 |
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0.584070796460177,
|
| 189 |
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0.7610619469026548
|
| 190 |
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]
|
| 191 |
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},
|
| 192 |
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"instances": 113,
|
| 193 |
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"pairwise_accuracy_clean": 0.6274509803921569,
|
| 194 |
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"vote_ndcg": 0.8992822674116551,
|
| 195 |
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"vote_top1_accuracy": 0.672566371681416
|
| 196 |
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},
|
| 197 |
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"datascience.stackexchange.com": {
|
| 198 |
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"accepted_hit_at_1": 0.5233160621761658,
|
| 199 |
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"accepted_mrr": 0.7461139896373057,
|
| 200 |
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"clean_pair_count": 126,
|
| 201 |
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"confidence_intervals_95": {
|
| 202 |
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"accepted_hit_at_1": [
|
| 203 |
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0.45077720207253885,
|
| 204 |
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0.5958549222797928
|
| 205 |
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],
|
| 206 |
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"accepted_mrr": [
|
| 207 |
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0.7081174438687393,
|
| 208 |
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0.7849740932642486
|
| 209 |
+
],
|
| 210 |
+
"pairwise_accuracy_clean": [
|
| 211 |
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0.536,
|
| 212 |
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0.717741935483871
|
| 213 |
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],
|
| 214 |
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"vote_ndcg": [
|
| 215 |
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0.9107436632191861,
|
| 216 |
+
0.9471839398115662
|
| 217 |
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],
|
| 218 |
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"vote_top1_accuracy": [
|
| 219 |
+
0.6839378238341969,
|
| 220 |
+
0.8082901554404145
|
| 221 |
+
]
|
| 222 |
+
},
|
| 223 |
+
"instances": 193,
|
| 224 |
+
"pairwise_accuracy_clean": 0.626984126984127,
|
| 225 |
+
"vote_ndcg": 0.9293993817313133,
|
| 226 |
+
"vote_top1_accuracy": 0.7461139896373057
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
"diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
|
| 230 |
+
"length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
|
| 231 |
+
"macro_by_source_site": {
|
| 232 |
+
"accepted_hit_at_1": 0.5669677656013572,
|
| 233 |
+
"accepted_mrr": 0.7695909181224877,
|
| 234 |
+
"pairwise_accuracy_clean": 0.6272175536881419,
|
| 235 |
+
"sites": 2,
|
| 236 |
+
"vote_ndcg": 0.9143408245714841,
|
| 237 |
+
"vote_top1_accuracy": 0.7093401806593609
|
| 238 |
+
},
|
| 239 |
+
"overall": {
|
| 240 |
+
"accepted_hit_at_1": 0.5555555555555556,
|
| 241 |
+
"accepted_mrr": 0.7634531590413945,
|
| 242 |
+
"clean_pair_count": 228,
|
| 243 |
+
"confidence_intervals_95": {
|
| 244 |
+
"accepted_hit_at_1": [
|
| 245 |
+
0.5,
|
| 246 |
+
0.6111111111111112
|
| 247 |
+
],
|
| 248 |
+
"accepted_mrr": [
|
| 249 |
+
0.7324074074074075,
|
| 250 |
+
0.7928649237472771
|
| 251 |
+
],
|
| 252 |
+
"pairwise_accuracy_clean": [
|
| 253 |
+
0.5566037735849056,
|
| 254 |
+
0.695067264573991
|
| 255 |
+
],
|
| 256 |
+
"vote_ndcg": [
|
| 257 |
+
0.9020187738368933,
|
| 258 |
+
0.9334711900105214
|
| 259 |
+
],
|
| 260 |
+
"vote_top1_accuracy": [
|
| 261 |
+
0.6666666666666666,
|
| 262 |
+
0.7679738562091504
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
"instances": 306,
|
| 266 |
+
"pairwise_accuracy_clean": 0.6271929824561403,
|
| 267 |
+
"vote_ndcg": 0.9182777022603281,
|
| 268 |
+
"vote_top1_accuracy": 0.7189542483660131
|
| 269 |
+
}
|
| 270 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_validation_run_manifest.json
ADDED
|
@@ -0,0 +1,27 @@
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"artifact_type": "community_qa_lab_benchmark_run",
|
| 3 |
+
"created_at": "2026-08-09T19:01:45.503303+00:00",
|
| 4 |
+
"device": "cpu",
|
| 5 |
+
"input_path": "data\\processed\\v0.2.0\\validation.parquet",
|
| 6 |
+
"input_sha256": "264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef",
|
| 7 |
+
"model_id": "bge-small-en-v1.5",
|
| 8 |
+
"model_name": "BAAI/bge-small-en-v1.5",
|
| 9 |
+
"model_revision": "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a",
|
| 10 |
+
"package_versions": {
|
| 11 |
+
"huggingface-hub": "1.27.0",
|
| 12 |
+
"pyarrow": "25.0.0",
|
| 13 |
+
"sentence-transformers": "5.5.1",
|
| 14 |
+
"torch": "2.11.0+cu128",
|
| 15 |
+
"transformers": "5.7.0"
|
| 16 |
+
},
|
| 17 |
+
"prediction_count": 306,
|
| 18 |
+
"prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\bge_small_validation_predictions.jsonl",
|
| 19 |
+
"prediction_run_config_hashes": [
|
| 20 |
+
"188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828"
|
| 21 |
+
],
|
| 22 |
+
"prediction_sha256": "e3ff38a4444c69771c237440ab76f12a5c05bfaf7e1f76e87c1ed003b9e33e3e",
|
| 23 |
+
"python_version": "3.11.9",
|
| 24 |
+
"ranker_class": "DenseBiEncoderRanker",
|
| 25 |
+
"run_config_hash": "188c9de320beb70995b508f9c4a8aded0392ddea0d05c4aea247b18c29196828",
|
| 26 |
+
"total_runtime_ms": 78925.6885
|
| 27 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"baseline_model_id": "answer-length",
|
| 3 |
+
"bootstrap": {
|
| 4 |
+
"samples": 10000,
|
| 5 |
+
"seed": 42
|
| 6 |
+
},
|
| 7 |
+
"candidate_model_id": "bge-small-en-v1.5",
|
| 8 |
+
"confidence_intervals_95": {
|
| 9 |
+
"accepted_hit_at_1": [
|
| 10 |
+
-0.09448818897637795,
|
| 11 |
+
0.12598425196850394
|
| 12 |
+
],
|
| 13 |
+
"accepted_mrr": [
|
| 14 |
+
-0.04724409448818897,
|
| 15 |
+
0.06811023622047245
|
| 16 |
+
],
|
| 17 |
+
"pairwise_accuracy_clean": [
|
| 18 |
+
-0.10236220472440945,
|
| 19 |
+
0.056430446194225714
|
| 20 |
+
],
|
| 21 |
+
"vote_ndcg": [
|
| 22 |
+
-0.04362318228534803,
|
| 23 |
+
0.010598733814423743
|
| 24 |
+
],
|
| 25 |
+
"vote_top1_accuracy": [
|
| 26 |
+
-0.14960629921259844,
|
| 27 |
+
0.03937007874015748
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"instances": 127,
|
| 31 |
+
"paired_delta": {
|
| 32 |
+
"accepted_hit_at_1": 0.015748031496062992,
|
| 33 |
+
"accepted_mrr": 0.01089238845144357,
|
| 34 |
+
"pairwise_accuracy_clean": -0.022309711286089242,
|
| 35 |
+
"vote_ndcg": -0.016288126937213925,
|
| 36 |
+
"vote_top1_accuracy": -0.05511811023622047
|
| 37 |
+
}
|
| 38 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_test_comparison.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Paired comparison on test
|
| 2 |
+
|
| 3 |
+
Candidate: `bge-small-en-v1.5`; baseline: `answer-length`; instances=127.
|
| 4 |
+
|
| 5 |
+
| Metric | Candidate minus baseline (95% bootstrap CI) |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| accepted_hit_at_1 | 0.0157 [-0.0945, 0.1260] |
|
| 8 |
+
| accepted_mrr | 0.0109 [-0.0472, 0.0681] |
|
| 9 |
+
| vote_top1_accuracy | -0.0551 [-0.1496, 0.0394] |
|
| 10 |
+
| vote_ndcg | -0.0163 [-0.0436, 0.0106] |
|
| 11 |
+
| pairwise_accuracy_clean | -0.0223 [-0.1024, 0.0564] |
|
| 12 |
+
|
| 13 |
+
Bootstrap: 10000 paired question-level resamples, seed=42.
|
benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"baseline_model_id": "answer-length",
|
| 3 |
+
"bootstrap": {
|
| 4 |
+
"samples": 10000,
|
| 5 |
+
"seed": 42
|
| 6 |
+
},
|
| 7 |
+
"candidate_model_id": "bge-small-en-v1.5",
|
| 8 |
+
"confidence_intervals_95": {
|
| 9 |
+
"accepted_hit_at_1": [
|
| 10 |
+
-0.16339869281045752,
|
| 11 |
+
-0.029411764705882353
|
| 12 |
+
],
|
| 13 |
+
"accepted_mrr": [
|
| 14 |
+
-0.08856209150326799,
|
| 15 |
+
-0.01879084967320261
|
| 16 |
+
],
|
| 17 |
+
"pairwise_accuracy_clean": [
|
| 18 |
+
-0.08485838779956427,
|
| 19 |
+
0.012636165577342047
|
| 20 |
+
],
|
| 21 |
+
"vote_ndcg": [
|
| 22 |
+
-0.01975274032138385,
|
| 23 |
+
0.012636865063500207
|
| 24 |
+
],
|
| 25 |
+
"vote_top1_accuracy": [
|
| 26 |
+
-0.049019607843137254,
|
| 27 |
+
0.06209150326797386
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"instances": 306,
|
| 31 |
+
"paired_delta": {
|
| 32 |
+
"accepted_hit_at_1": -0.09477124183006536,
|
| 33 |
+
"accepted_mrr": -0.053540305010893234,
|
| 34 |
+
"pairwise_accuracy_clean": -0.03562091503267974,
|
| 35 |
+
"vote_ndcg": -0.0035591150842005535,
|
| 36 |
+
"vote_top1_accuracy": 0.006535947712418301
|
| 37 |
+
}
|
| 38 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_vs_answer_length_validation_comparison.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Paired comparison on validation
|
| 2 |
+
|
| 3 |
+
Candidate: `bge-small-en-v1.5`; baseline: `answer-length`; instances=306.
|
| 4 |
+
|
| 5 |
+
| Metric | Candidate minus baseline (95% bootstrap CI) |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| accepted_hit_at_1 | -0.0948 [-0.1634, -0.0294] |
|
| 8 |
+
| accepted_mrr | -0.0535 [-0.0886, -0.0188] |
|
| 9 |
+
| vote_top1_accuracy | 0.0065 [-0.0490, 0.0621] |
|
| 10 |
+
| vote_ndcg | -0.0036 [-0.0198, 0.0126] |
|
| 11 |
+
| pairwise_accuracy_clean | -0.0356 [-0.0849, 0.0126] |
|
| 12 |
+
|
| 13 |
+
Bootstrap: 10000 paired question-level resamples, seed=42.
|
benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"baseline_model_id": "bm25",
|
| 3 |
+
"bootstrap": {
|
| 4 |
+
"samples": 10000,
|
| 5 |
+
"seed": 42
|
| 6 |
+
},
|
| 7 |
+
"candidate_model_id": "bge-small-en-v1.5",
|
| 8 |
+
"confidence_intervals_95": {
|
| 9 |
+
"accepted_hit_at_1": [
|
| 10 |
+
0.0,
|
| 11 |
+
0.2047244094488189
|
| 12 |
+
],
|
| 13 |
+
"accepted_mrr": [
|
| 14 |
+
0.0019685039370078775,
|
| 15 |
+
0.10433070866141732
|
| 16 |
+
],
|
| 17 |
+
"pairwise_accuracy_clean": [
|
| 18 |
+
-0.045931758530183726,
|
| 19 |
+
0.08530183727034121
|
| 20 |
+
],
|
| 21 |
+
"vote_ndcg": [
|
| 22 |
+
-0.023561613960445187,
|
| 23 |
+
0.02414700221921227
|
| 24 |
+
],
|
| 25 |
+
"vote_top1_accuracy": [
|
| 26 |
+
-0.06299212598425197,
|
| 27 |
+
0.10236220472440945
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"instances": 127,
|
| 31 |
+
"paired_delta": {
|
| 32 |
+
"accepted_hit_at_1": 0.10236220472440945,
|
| 33 |
+
"accepted_mrr": 0.05380577427821523,
|
| 34 |
+
"pairwise_accuracy_clean": 0.02047244094488189,
|
| 35 |
+
"vote_ndcg": 0.0010712674570463592,
|
| 36 |
+
"vote_top1_accuracy": 0.023622047244094488
|
| 37 |
+
}
|
| 38 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_test_comparison.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
# Paired comparison on test
|
| 2 |
+
|
| 3 |
+
Candidate: `bge-small-en-v1.5`; baseline: `bm25`; instances=127.
|
| 4 |
+
|
| 5 |
+
| Metric | Candidate minus baseline (95% bootstrap CI) |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| accepted_hit_at_1 | 0.1024 [0.0000, 0.2047] |
|
| 8 |
+
| accepted_mrr | 0.0538 [0.0020, 0.1043] |
|
| 9 |
+
| vote_top1_accuracy | 0.0236 [-0.0630, 0.1024] |
|
| 10 |
+
| vote_ndcg | 0.0011 [-0.0236, 0.0241] |
|
| 11 |
+
| pairwise_accuracy_clean | 0.0205 [-0.0459, 0.0853] |
|
| 12 |
+
|
| 13 |
+
Bootstrap: 10000 paired question-level resamples, seed=42.
|
benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.json
ADDED
|
@@ -0,0 +1,38 @@
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"baseline_model_id": "bm25",
|
| 3 |
+
"bootstrap": {
|
| 4 |
+
"samples": 10000,
|
| 5 |
+
"seed": 42
|
| 6 |
+
},
|
| 7 |
+
"candidate_model_id": "bge-small-en-v1.5",
|
| 8 |
+
"confidence_intervals_95": {
|
| 9 |
+
"accepted_hit_at_1": [
|
| 10 |
+
-0.14052287581699346,
|
| 11 |
+
-0.02287581699346405
|
| 12 |
+
],
|
| 13 |
+
"accepted_mrr": [
|
| 14 |
+
-0.07211328976034857,
|
| 15 |
+
-0.011165577342047931
|
| 16 |
+
],
|
| 17 |
+
"pairwise_accuracy_clean": [
|
| 18 |
+
-0.07864923747276688,
|
| 19 |
+
0.00849673202614379
|
| 20 |
+
],
|
| 21 |
+
"vote_ndcg": [
|
| 22 |
+
-0.020701519096208362,
|
| 23 |
+
0.007811645282722215
|
| 24 |
+
],
|
| 25 |
+
"vote_top1_accuracy": [
|
| 26 |
+
-0.06209150326797386,
|
| 27 |
+
0.03594771241830065
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"instances": 306,
|
| 31 |
+
"paired_delta": {
|
| 32 |
+
"accepted_hit_at_1": -0.08169934640522876,
|
| 33 |
+
"accepted_mrr": -0.04155773420479304,
|
| 34 |
+
"pairwise_accuracy_clean": -0.03529411764705882,
|
| 35 |
+
"vote_ndcg": -0.00632844208521134,
|
| 36 |
+
"vote_top1_accuracy": -0.013071895424836602
|
| 37 |
+
}
|
| 38 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bge_small_vs_bm25_validation_comparison.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Paired comparison on validation
|
| 2 |
+
|
| 3 |
+
Candidate: `bge-small-en-v1.5`; baseline: `bm25`; instances=306.
|
| 4 |
+
|
| 5 |
+
| Metric | Candidate minus baseline (95% bootstrap CI) |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| accepted_hit_at_1 | -0.0817 [-0.1405, -0.0229] |
|
| 8 |
+
| accepted_mrr | -0.0416 [-0.0721, -0.0112] |
|
| 9 |
+
| vote_top1_accuracy | -0.0131 [-0.0621, 0.0359] |
|
| 10 |
+
| vote_ndcg | -0.0063 [-0.0207, 0.0078] |
|
| 11 |
+
| pairwise_accuracy_clean | -0.0353 [-0.0786, 0.0085] |
|
| 12 |
+
|
| 13 |
+
Bootstrap: 10000 paired question-level resamples, seed=42.
|
benchmarks/answer_reranking/v0.2.1/bm25_test.md
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# bm25 on test
|
| 2 |
+
|
| 3 |
+
Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
|
| 4 |
+
|
| 5 |
+
| Metric | Value with 95% bootstrap CI |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| instances | 127 |
|
| 8 |
+
| accepted_hit_at_1 | 0.5276 [0.4409, 0.6142] |
|
| 9 |
+
| accepted_mrr | 0.7552 [0.7100, 0.7999] |
|
| 10 |
+
| vote_top1_accuracy | 0.6535 [0.5748, 0.7323] |
|
| 11 |
+
| vote_ndcg | 0.9101 [0.8874, 0.9321] |
|
| 12 |
+
| pairwise_accuracy_clean | 0.6531 [0.5545, 0.7449] |
|
| 13 |
+
|
| 14 |
+
## By disagreement label
|
| 15 |
+
|
| 16 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 17 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 18 |
+
| accepted_below_top | 25 | 0.4800 [0.2800, 0.6800] | 0.7200 [0.6133, 0.8267] | 0.4400 [0.2400, 0.6400] | 0.8790 [0.8358, 0.9220] |
|
| 19 |
+
| accepted_tied_top | 35 | 0.4571 [0.2857, 0.6286] | 0.7238 [0.6381, 0.8095] | 0.9429 [0.8571, 1.0000] | 0.9854 [0.9655, 1.0000] |
|
| 20 |
+
| accepted_unique_top | 67 | 0.5821 [0.4627, 0.7015] | 0.7848 [0.7226, 0.8445] | 0.5821 [0.4627, 0.7015] | 0.8824 [0.8466, 0.9169] |
|
| 21 |
+
|
| 22 |
+
## By source site
|
| 23 |
+
|
| 24 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 25 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 26 |
+
| ai.stackexchange.com | 89 | 0.4831 [0.3820, 0.5843] | 0.7331 [0.6798, 0.7875] | 0.6404 [0.5393, 0.7416] | 0.9063 [0.8778, 0.9327] |
|
| 27 |
+
| datascience.stackexchange.com | 38 | 0.6316 [0.4737, 0.7895] | 0.8070 [0.7237, 0.8860] | 0.6842 [0.5263, 0.8158] | 0.9192 [0.8791, 0.9563] |
|
| 28 |
+
|
| 29 |
+
## Answer-length diagnostic
|
| 30 |
+
|
| 31 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 32 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 33 |
+
| length_matched | 59 | 0.4915 [0.3729, 0.6271] | 0.7373 [0.6723, 0.8051] | 0.6271 [0.5085, 0.7458] | 0.9073 [0.8743, 0.9389] |
|
| 34 |
+
| length_skewed | 68 | 0.5588 [0.4412, 0.6765] | 0.7708 [0.7083, 0.8321] | 0.6765 [0.5588, 0.7794] | 0.9125 [0.8799, 0.9426] |
|
| 35 |
+
|
| 36 |
+
## Macro by source site
|
| 37 |
+
|
| 38 |
+
Unweighted mean across 2 observed sites: accepted@1=0.5574, accepted MRR=0.7701, vote@1=0.6623, vote nDCG=0.9127.
|
| 39 |
+
|
| 40 |
+
## Reproducibility
|
| 41 |
+
|
| 42 |
+
- `device`: `cpu`
|
| 43 |
+
- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
|
| 44 |
+
- `prediction_sha256`: `31cb27be307538562fddecc669a2d71e3da84c9838315c04e7065e3b9761e046`
|
| 45 |
+
- `total_runtime_ms`: `34.6864`
|
| 46 |
+
|
| 47 |
+
Bootstrap: 10000 question-level resamples, seed=42.
|
| 48 |
+
|
| 49 |
+
length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
|
| 50 |
+
|
| 51 |
+
accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
|
benchmarks/answer_reranking/v0.2.1/bm25_test_predictions.jsonl
ADDED
|
@@ -0,0 +1,127 @@
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"instance_id": "ai.stackexchange.com:q:43301", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43304", "ai.stackexchange.com:a:43307"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.4850000004807953, "scores": [27.776213747362018, 17.0853303458447]}
|
| 2 |
+
{"instance_id": "ai.stackexchange.com:q:43453", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43505", "ai.stackexchange.com:a:43455"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.2280000007885974, "scores": [7.172253077215139, 5.285807790912978]}
|
| 3 |
+
{"instance_id": "ai.stackexchange.com:q:43471", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43473", "ai.stackexchange.com:a:45124"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.25459999960730784, "scores": [16.29751786288689, 2.911702728988491]}
|
| 4 |
+
{"instance_id": "ai.stackexchange.com:q:43547", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43581", "ai.stackexchange.com:a:43568"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.22679999892716296, "scores": [14.213773487136466, 5.5026458048087195]}
|
| 5 |
+
{"instance_id": "ai.stackexchange.com:q:43550", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43552", "ai.stackexchange.com:a:43622", "ai.stackexchange.com:a:43551"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.27600000066740904, "scores": [14.660693645023404, 12.03881133979441, 7.328656757027993]}
|
| 6 |
+
{"instance_id": "ai.stackexchange.com:q:43641", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43686", "ai.stackexchange.com:a:43692"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.23400000100082252, "scores": [25.03309770534993, 18.34116461856949]}
|
| 7 |
+
{"instance_id": "ai.stackexchange.com:q:43805", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43808", "ai.stackexchange.com:a:43806"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.14860000010230578, "scores": [14.92947594791382, 7.372369750899253]}
|
| 8 |
+
{"instance_id": "ai.stackexchange.com:q:43820", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43859", "ai.stackexchange.com:a:43861", "ai.stackexchange.com:a:44938"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.23409999994328246, "scores": [17.235889332848043, 15.114854527074895, 12.26917017989194]}
|
| 9 |
+
{"instance_id": "ai.stackexchange.com:q:43826", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43895", "ai.stackexchange.com:a:43829"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.15870000061113387, "scores": [13.099659637477954, 4.525460462438069]}
|
| 10 |
+
{"instance_id": "ai.stackexchange.com:q:43868", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:43873", "ai.stackexchange.com:a:43891"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.1787999990483513, "scores": [14.487268761354906, 10.211494594065027]}
|
| 11 |
+
{"instance_id": "ai.stackexchange.com:q:44907", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:44932", "ai.stackexchange.com:a:44913"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.17190000107802916, "scores": [15.170926771066021, 12.523038677444031]}
|
| 12 |
+
{"instance_id": "ai.stackexchange.com:q:44987", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:44995", "ai.stackexchange.com:a:44997", "ai.stackexchange.com:a:44991"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.4630999992514262, "scores": [14.353773487208866, 14.2104403368568, 6.927539583893708]}
|
| 13 |
+
{"instance_id": "ai.stackexchange.com:q:45044", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:45067", "ai.stackexchange.com:a:45048"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.32050000118033495, "scores": [13.808751502496582, 6.980574735294678]}
|
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benchmarks/answer_reranking/v0.2.1/bm25_test_report.json
ADDED
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@@ -0,0 +1,270 @@
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| 220 |
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0.8157894736842105
|
| 221 |
+
]
|
| 222 |
+
},
|
| 223 |
+
"instances": 38,
|
| 224 |
+
"pairwise_accuracy_clean": 0.6956521739130435,
|
| 225 |
+
"vote_ndcg": 0.9192015109701303,
|
| 226 |
+
"vote_top1_accuracy": 0.6842105263157895
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
"diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
|
| 230 |
+
"length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
|
| 231 |
+
"macro_by_source_site": {
|
| 232 |
+
"accepted_hit_at_1": 0.5573625073920757,
|
| 233 |
+
"accepted_mrr": 0.7700818056376897,
|
| 234 |
+
"pairwise_accuracy_clean": 0.6678260869565218,
|
| 235 |
+
"sites": 2,
|
| 236 |
+
"vote_ndcg": 0.9127278871779962,
|
| 237 |
+
"vote_top1_accuracy": 0.6623299822590183
|
| 238 |
+
},
|
| 239 |
+
"overall": {
|
| 240 |
+
"accepted_hit_at_1": 0.5275590551181102,
|
| 241 |
+
"accepted_mrr": 0.7552493438320209,
|
| 242 |
+
"clean_pair_count": 98,
|
| 243 |
+
"confidence_intervals_95": {
|
| 244 |
+
"accepted_hit_at_1": [
|
| 245 |
+
0.4409448818897638,
|
| 246 |
+
0.6141732283464567
|
| 247 |
+
],
|
| 248 |
+
"accepted_mrr": [
|
| 249 |
+
0.7099737532808399,
|
| 250 |
+
0.7998687664041996
|
| 251 |
+
],
|
| 252 |
+
"pairwise_accuracy_clean": [
|
| 253 |
+
0.5544554455445545,
|
| 254 |
+
0.7448979591836735
|
| 255 |
+
],
|
| 256 |
+
"vote_ndcg": [
|
| 257 |
+
0.887440256874553,
|
| 258 |
+
0.9320898254916455
|
| 259 |
+
],
|
| 260 |
+
"vote_top1_accuracy": [
|
| 261 |
+
0.5748031496062992,
|
| 262 |
+
0.7322834645669292
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
"instances": 127,
|
| 266 |
+
"pairwise_accuracy_clean": 0.6530612244897959,
|
| 267 |
+
"vote_ndcg": 0.9101282429780052,
|
| 268 |
+
"vote_top1_accuracy": 0.6535433070866141
|
| 269 |
+
}
|
| 270 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bm25_test_run_manifest.json
ADDED
|
@@ -0,0 +1,26 @@
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"artifact_type": "community_qa_lab_benchmark_run",
|
| 3 |
+
"b": 0.75,
|
| 4 |
+
"created_at": "2026-08-09T18:59:59.671920+00:00",
|
| 5 |
+
"device": "cpu",
|
| 6 |
+
"input_path": "data\\processed\\v0.2.0\\test.parquet",
|
| 7 |
+
"input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
|
| 8 |
+
"k1": 1.5,
|
| 9 |
+
"model_id": "bm25",
|
| 10 |
+
"package_versions": {
|
| 11 |
+
"huggingface-hub": "1.27.0",
|
| 12 |
+
"pyarrow": "25.0.0",
|
| 13 |
+
"sentence-transformers": "5.5.1",
|
| 14 |
+
"torch": "2.11.0+cu128",
|
| 15 |
+
"transformers": "5.7.0"
|
| 16 |
+
},
|
| 17 |
+
"prediction_count": 127,
|
| 18 |
+
"prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\bm25_test_predictions.jsonl",
|
| 19 |
+
"prediction_run_config_hashes": [
|
| 20 |
+
"k1=1.5;b=0.75"
|
| 21 |
+
],
|
| 22 |
+
"prediction_sha256": "31cb27be307538562fddecc669a2d71e3da84c9838315c04e7065e3b9761e046",
|
| 23 |
+
"python_version": "3.11.9",
|
| 24 |
+
"ranker_class": "BM25Ranker",
|
| 25 |
+
"total_runtime_ms": 34.6864
|
| 26 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bm25_validation.md
ADDED
|
@@ -0,0 +1,51 @@
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# bm25 on validation
|
| 2 |
+
|
| 3 |
+
Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
|
| 4 |
+
|
| 5 |
+
| Metric | Value with 95% bootstrap CI |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| instances | 306 |
|
| 8 |
+
| accepted_hit_at_1 | 0.6373 [0.5850, 0.6895] |
|
| 9 |
+
| accepted_mrr | 0.8050 [0.7756, 0.8336] |
|
| 10 |
+
| vote_top1_accuracy | 0.7320 [0.6830, 0.7810] |
|
| 11 |
+
| vote_ndcg | 0.9246 [0.9097, 0.9388] |
|
| 12 |
+
| pairwise_accuracy_clean | 0.6842 [0.6164, 0.7510] |
|
| 13 |
+
|
| 14 |
+
## By disagreement label
|
| 15 |
+
|
| 16 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 17 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 18 |
+
| accepted_below_top | 43 | 0.5116 [0.3488, 0.6512] | 0.7306 [0.6453, 0.8140] | 0.3953 [0.2558, 0.5349] | 0.8523 [0.8133, 0.8911] |
|
| 19 |
+
| accepted_tied_top | 96 | 0.6250 [0.5312, 0.7188] | 0.7977 [0.7439, 0.8507] | 0.9792 [0.9479, 1.0000] | 0.9920 [0.9838, 0.9980] |
|
| 20 |
+
| accepted_unique_top | 167 | 0.6766 [0.6048, 0.7485] | 0.8283 [0.7889, 0.8658] | 0.6766 [0.6048, 0.7485] | 0.9045 [0.8816, 0.9264] |
|
| 21 |
+
|
| 22 |
+
## By source site
|
| 23 |
+
|
| 24 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 25 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 26 |
+
| ai.stackexchange.com | 113 | 0.6106 [0.5221, 0.6991] | 0.7942 [0.7456, 0.8429] | 0.6991 [0.6106, 0.7788] | 0.9131 [0.8872, 0.9379] |
|
| 27 |
+
| datascience.stackexchange.com | 193 | 0.6528 [0.5855, 0.7202] | 0.8113 [0.7737, 0.8480] | 0.7513 [0.6891, 0.8135] | 0.9313 [0.9132, 0.9485] |
|
| 28 |
+
|
| 29 |
+
## Answer-length diagnostic
|
| 30 |
+
|
| 31 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 32 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 33 |
+
| length_matched | 124 | 0.5565 [0.4677, 0.6452] | 0.7742 [0.7298, 0.8185] | 0.7500 [0.6694, 0.8226] | 0.9315 [0.9090, 0.9525] |
|
| 34 |
+
| length_skewed | 182 | 0.6923 [0.6264, 0.7582] | 0.8260 [0.7871, 0.8631] | 0.7198 [0.6538, 0.7857] | 0.9199 [0.9000, 0.9389] |
|
| 35 |
+
|
| 36 |
+
## Macro by source site
|
| 37 |
+
|
| 38 |
+
Unweighted mean across 2 observed sites: accepted@1=0.6317, accepted MRR=0.8028, vote@1=0.7252, vote nDCG=0.9222.
|
| 39 |
+
|
| 40 |
+
## Reproducibility
|
| 41 |
+
|
| 42 |
+
- `device`: `cpu`
|
| 43 |
+
- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
|
| 44 |
+
- `prediction_sha256`: `9900d1f39bd14187be781937b76c341faa1832962a0834e395cc3a6b4eb96ac0`
|
| 45 |
+
- `total_runtime_ms`: `62.0211`
|
| 46 |
+
|
| 47 |
+
Bootstrap: 10000 question-level resamples, seed=42.
|
| 48 |
+
|
| 49 |
+
length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
|
| 50 |
+
|
| 51 |
+
accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
|
benchmarks/answer_reranking/v0.2.1/bm25_validation_predictions.jsonl
ADDED
|
@@ -0,0 +1,306 @@
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|
| 1 |
+
{"instance_id": "ai.stackexchange.com:q:34004", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:34052", "ai.stackexchange.com:a:34033"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.5019999989599455, "scores": [23.615833244590405, 9.914507324210692]}
|
| 2 |
+
{"instance_id": "ai.stackexchange.com:q:34043", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:34047", "ai.stackexchange.com:a:34044"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.2567999999882886, "scores": [28.67138074182318, 13.233496982764668]}
|
| 3 |
+
{"instance_id": "ai.stackexchange.com:q:34071", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:34073", "ai.stackexchange.com:a:34072"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.20730000142066274, "scores": [9.753653730484455, 9.64358618777254]}
|
| 4 |
+
{"instance_id": "ai.stackexchange.com:q:34244", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:37382", "ai.stackexchange.com:a:34246"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.2524999999877764, "scores": [31.780192418295734, 21.485604114908973]}
|
| 5 |
+
{"instance_id": "ai.stackexchange.com:q:34284", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:34629", "ai.stackexchange.com:a:34665"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.3126999999949476, "scores": [31.536012311312305, 18.83370122811308]}
|
| 6 |
+
{"instance_id": "ai.stackexchange.com:q:34342", "model_id": "bm25", "ranked_answer_ids": ["ai.stackexchange.com:a:34343", "ai.stackexchange.com:a:36245"], "run_config_hash": "k1=1.5;b=0.75", "runtime_ms": 0.13810000018565916, "scores": [19.241617512216756, 6.094969168679547]}
|
| 7 |
+
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benchmarks/answer_reranking/v0.2.1/bm25_validation_report.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"bootstrap": {
|
| 3 |
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"samples": 10000,
|
| 4 |
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"seed": 42
|
| 5 |
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},
|
| 6 |
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"by_answer_length_spread": {
|
| 7 |
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"length_matched": {
|
| 8 |
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"accepted_hit_at_1": 0.5564516129032258,
|
| 9 |
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"accepted_mrr": 0.7741935483870968,
|
| 10 |
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"clean_pair_count": 70,
|
| 11 |
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"confidence_intervals_95": {
|
| 12 |
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|
| 13 |
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0.46774193548387094,
|
| 14 |
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0.6451612903225806
|
| 15 |
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],
|
| 16 |
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"accepted_mrr": [
|
| 17 |
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0.7298387096774193,
|
| 18 |
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0.8185483870967742
|
| 19 |
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],
|
| 20 |
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|
| 21 |
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0.4927536231884058,
|
| 22 |
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0.7297297297297297
|
| 23 |
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],
|
| 24 |
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"vote_ndcg": [
|
| 25 |
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|
| 26 |
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0.9524938839409904
|
| 27 |
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],
|
| 28 |
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"vote_top1_accuracy": [
|
| 29 |
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0.6693548387096774,
|
| 30 |
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0.8225806451612904
|
| 31 |
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]
|
| 32 |
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},
|
| 33 |
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"instances": 124,
|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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},
|
| 38 |
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"length_skewed": {
|
| 39 |
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|
| 40 |
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"accepted_mrr": 0.8260073260073261,
|
| 41 |
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"clean_pair_count": 158,
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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0.7582417582417582
|
| 46 |
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],
|
| 47 |
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"accepted_mrr": [
|
| 48 |
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0.7870879120879123,
|
| 49 |
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0.8630952380952381
|
| 50 |
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],
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| 51 |
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| 52 |
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| 54 |
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|
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| 61 |
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| 62 |
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]
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| 63 |
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},
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| 64 |
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| 65 |
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| 68 |
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}
|
| 69 |
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},
|
| 70 |
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"by_disagreement_label": {
|
| 71 |
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"accepted_below_top": {
|
| 72 |
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"accepted_hit_at_1": 0.5116279069767442,
|
| 73 |
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"accepted_mrr": 0.7306201550387597,
|
| 74 |
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|
| 75 |
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|
| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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],
|
| 80 |
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"accepted_mrr": [
|
| 81 |
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0.6453488372093023,
|
| 82 |
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0.813953488372093
|
| 83 |
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],
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| 84 |
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|
| 85 |
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0.5,
|
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1.0
|
| 87 |
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],
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},
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| 100 |
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| 101 |
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},
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| 103 |
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|
| 104 |
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| 105 |
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| 107 |
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|
| 108 |
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0.53125,
|
| 109 |
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0.71875
|
| 110 |
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],
|
| 111 |
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| 112 |
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| 113 |
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| 114 |
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],
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| 116 |
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0.2,
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| 117 |
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| 118 |
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],
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| 125 |
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1.0
|
| 126 |
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]
|
| 127 |
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},
|
| 128 |
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| 129 |
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|
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|
| 132 |
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},
|
| 133 |
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"accepted_unique_top": {
|
| 134 |
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|
| 135 |
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"accepted_mrr": 0.8283433133732535,
|
| 136 |
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"clean_pair_count": 209,
|
| 137 |
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| 138 |
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| 139 |
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0.6047904191616766,
|
| 140 |
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0.7485029940119761
|
| 141 |
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],
|
| 142 |
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"accepted_mrr": [
|
| 143 |
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0.7889221556886228,
|
| 144 |
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0.8657684630738524
|
| 145 |
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],
|
| 146 |
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"pairwise_accuracy_clean": [
|
| 147 |
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0.6135265700483091,
|
| 148 |
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0.7538461538461538
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| 149 |
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],
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| 150 |
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"vote_ndcg": [
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| 151 |
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| 152 |
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| 153 |
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],
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| 154 |
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"vote_top1_accuracy": [
|
| 155 |
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0.6047904191616766,
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| 156 |
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0.7485029940119761
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| 157 |
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]
|
| 158 |
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},
|
| 159 |
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"instances": 167,
|
| 160 |
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|
| 161 |
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|
| 162 |
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"vote_top1_accuracy": 0.6766467065868264
|
| 163 |
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}
|
| 164 |
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},
|
| 165 |
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"by_source_site": {
|
| 166 |
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"ai.stackexchange.com": {
|
| 167 |
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|
| 168 |
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"accepted_mrr": 0.7942477876106194,
|
| 169 |
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"clean_pair_count": 102,
|
| 170 |
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"confidence_intervals_95": {
|
| 171 |
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"accepted_hit_at_1": [
|
| 172 |
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0.5221238938053098,
|
| 173 |
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0.6991150442477876
|
| 174 |
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],
|
| 175 |
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"accepted_mrr": [
|
| 176 |
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0.745575221238938,
|
| 177 |
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0.8429203539823009
|
| 178 |
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],
|
| 179 |
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"pairwise_accuracy_clean": [
|
| 180 |
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0.5825242718446602,
|
| 181 |
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0.782608695652174
|
| 182 |
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],
|
| 183 |
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"vote_ndcg": [
|
| 184 |
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0.8872172381867283,
|
| 185 |
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0.937878682573554
|
| 186 |
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],
|
| 187 |
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"vote_top1_accuracy": [
|
| 188 |
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0.6106194690265486,
|
| 189 |
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0.7787610619469026
|
| 190 |
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]
|
| 191 |
+
},
|
| 192 |
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"instances": 113,
|
| 193 |
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"pairwise_accuracy_clean": 0.6862745098039216,
|
| 194 |
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"vote_ndcg": 0.9130997603781245,
|
| 195 |
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"vote_top1_accuracy": 0.6991150442477876
|
| 196 |
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},
|
| 197 |
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"datascience.stackexchange.com": {
|
| 198 |
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"accepted_hit_at_1": 0.6528497409326425,
|
| 199 |
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"accepted_mrr": 0.8113126079447324,
|
| 200 |
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"clean_pair_count": 126,
|
| 201 |
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"confidence_intervals_95": {
|
| 202 |
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"accepted_hit_at_1": [
|
| 203 |
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0.5854922279792746,
|
| 204 |
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0.7202072538860104
|
| 205 |
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],
|
| 206 |
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"accepted_mrr": [
|
| 207 |
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0.7737478411053541,
|
| 208 |
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0.8480138169257341
|
| 209 |
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],
|
| 210 |
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"pairwise_accuracy_clean": [
|
| 211 |
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0.5892857142857143,
|
| 212 |
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0.7751937984496124
|
| 213 |
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],
|
| 214 |
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"vote_ndcg": [
|
| 215 |
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0.9131633624145421,
|
| 216 |
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0.9484872259775733
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| 217 |
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],
|
| 218 |
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"vote_top1_accuracy": [
|
| 219 |
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0.689119170984456,
|
| 220 |
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0.8134715025906736
|
| 221 |
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]
|
| 222 |
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},
|
| 223 |
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"instances": 193,
|
| 224 |
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"pairwise_accuracy_clean": 0.6825396825396826,
|
| 225 |
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"vote_ndcg": 0.9313430427306069,
|
| 226 |
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"vote_top1_accuracy": 0.7512953367875648
|
| 227 |
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}
|
| 228 |
+
},
|
| 229 |
+
"diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
|
| 230 |
+
"length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
|
| 231 |
+
"macro_by_source_site": {
|
| 232 |
+
"accepted_hit_at_1": 0.6317346049795955,
|
| 233 |
+
"accepted_mrr": 0.8027801977776758,
|
| 234 |
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"pairwise_accuracy_clean": 0.6844070961718021,
|
| 235 |
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"sites": 2,
|
| 236 |
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"vote_ndcg": 0.9222214015543657,
|
| 237 |
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"vote_top1_accuracy": 0.7252051905176762
|
| 238 |
+
},
|
| 239 |
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"overall": {
|
| 240 |
+
"accepted_hit_at_1": 0.6372549019607843,
|
| 241 |
+
"accepted_mrr": 0.8050108932461877,
|
| 242 |
+
"clean_pair_count": 228,
|
| 243 |
+
"confidence_intervals_95": {
|
| 244 |
+
"accepted_hit_at_1": [
|
| 245 |
+
0.5849673202614379,
|
| 246 |
+
0.6895424836601307
|
| 247 |
+
],
|
| 248 |
+
"accepted_mrr": [
|
| 249 |
+
0.7755991285403053,
|
| 250 |
+
0.8336056644880177
|
| 251 |
+
],
|
| 252 |
+
"pairwise_accuracy_clean": [
|
| 253 |
+
0.6164383561643836,
|
| 254 |
+
0.7510204081632653
|
| 255 |
+
],
|
| 256 |
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"vote_ndcg": [
|
| 257 |
+
0.9096751367715832,
|
| 258 |
+
0.9387984851426745
|
| 259 |
+
],
|
| 260 |
+
"vote_top1_accuracy": [
|
| 261 |
+
0.6830065359477124,
|
| 262 |
+
0.7810457516339869
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
"instances": 306,
|
| 266 |
+
"pairwise_accuracy_clean": 0.6842105263157895,
|
| 267 |
+
"vote_ndcg": 0.9246061443455399,
|
| 268 |
+
"vote_top1_accuracy": 0.7320261437908496
|
| 269 |
+
}
|
| 270 |
+
}
|
benchmarks/answer_reranking/v0.2.1/bm25_validation_run_manifest.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
+
{
|
| 2 |
+
"artifact_type": "community_qa_lab_benchmark_run",
|
| 3 |
+
"b": 0.75,
|
| 4 |
+
"created_at": "2026-08-09T18:59:34.987704+00:00",
|
| 5 |
+
"device": "cpu",
|
| 6 |
+
"input_path": "data\\processed\\v0.2.0\\validation.parquet",
|
| 7 |
+
"input_sha256": "264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef",
|
| 8 |
+
"k1": 1.5,
|
| 9 |
+
"model_id": "bm25",
|
| 10 |
+
"package_versions": {
|
| 11 |
+
"huggingface-hub": "1.27.0",
|
| 12 |
+
"pyarrow": "25.0.0",
|
| 13 |
+
"sentence-transformers": "5.5.1",
|
| 14 |
+
"torch": "2.11.0+cu128",
|
| 15 |
+
"transformers": "5.7.0"
|
| 16 |
+
},
|
| 17 |
+
"prediction_count": 306,
|
| 18 |
+
"prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\bm25_validation_predictions.jsonl",
|
| 19 |
+
"prediction_run_config_hashes": [
|
| 20 |
+
"k1=1.5;b=0.75"
|
| 21 |
+
],
|
| 22 |
+
"prediction_sha256": "9900d1f39bd14187be781937b76c341faa1832962a0834e395cc3a6b4eb96ac0",
|
| 23 |
+
"python_version": "3.11.9",
|
| 24 |
+
"ranker_class": "BM25Ranker",
|
| 25 |
+
"total_runtime_ms": 62.0211
|
| 26 |
+
}
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_test.md
ADDED
|
@@ -0,0 +1,53 @@
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|
| 1 |
+
# cross-encoder-ms-marco-MiniLM-L-6-v2 on test
|
| 2 |
+
|
| 3 |
+
Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
|
| 4 |
+
|
| 5 |
+
| Metric | Value with 95% bootstrap CI |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| instances | 127 |
|
| 8 |
+
| accepted_hit_at_1 | 0.5591 [0.4724, 0.6457] |
|
| 9 |
+
| accepted_mrr | 0.7690 [0.7218, 0.8150] |
|
| 10 |
+
| vote_top1_accuracy | 0.5906 [0.5039, 0.6693] |
|
| 11 |
+
| vote_ndcg | 0.8841 [0.8570, 0.9095] |
|
| 12 |
+
| pairwise_accuracy_clean | 0.5612 [0.4624, 0.6588] |
|
| 13 |
+
|
| 14 |
+
## By disagreement label
|
| 15 |
+
|
| 16 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 17 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 18 |
+
| accepted_below_top | 25 | 0.5600 [0.3600, 0.7600] | 0.7633 [0.6533, 0.8700] | 0.3600 [0.1600, 0.5600] | 0.8538 [0.8094, 0.8998] |
|
| 19 |
+
| accepted_tied_top | 35 | 0.7429 [0.6000, 0.8857] | 0.8714 [0.8000, 0.9429] | 1.0000 [1.0000, 1.0000] | 1.0000 [1.0000, 1.0000] |
|
| 20 |
+
| accepted_unique_top | 67 | 0.4627 [0.3433, 0.5821] | 0.7177 [0.6530, 0.7811] | 0.4627 [0.3433, 0.5821] | 0.8349 [0.7935, 0.8740] |
|
| 21 |
+
|
| 22 |
+
## By source site
|
| 23 |
+
|
| 24 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 25 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 26 |
+
| ai.stackexchange.com | 89 | 0.4944 [0.3933, 0.5955] | 0.7350 [0.6798, 0.7903] | 0.5618 [0.4607, 0.6629] | 0.8743 [0.8413, 0.9058] |
|
| 27 |
+
| datascience.stackexchange.com | 38 | 0.7105 [0.5526, 0.8421] | 0.8487 [0.7697, 0.9211] | 0.6579 [0.5000, 0.7895] | 0.9071 [0.8619, 0.9475] |
|
| 28 |
+
|
| 29 |
+
## Answer-length diagnostic
|
| 30 |
+
|
| 31 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 32 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 33 |
+
| length_matched | 59 | 0.5593 [0.4237, 0.6780] | 0.7740 [0.7062, 0.8390] | 0.6102 [0.4746, 0.7288] | 0.9002 [0.8649, 0.9330] |
|
| 34 |
+
| length_skewed | 68 | 0.5588 [0.4412, 0.6765] | 0.7647 [0.6998, 0.8272] | 0.5735 [0.4559, 0.6912] | 0.8702 [0.8300, 0.9083] |
|
| 35 |
+
|
| 36 |
+
## Macro by source site
|
| 37 |
+
|
| 38 |
+
Unweighted mean across 2 observed sites: accepted@1=0.6025, accepted MRR=0.7919, vote@1=0.6098, vote nDCG=0.8907.
|
| 39 |
+
|
| 40 |
+
## Reproducibility
|
| 41 |
+
|
| 42 |
+
- `model_name`: `cross-encoder/ms-marco-MiniLM-L-6-v2`
|
| 43 |
+
- `model_revision`: `233902d25c440f23af6f7d6e94d2946bac0bee0a`
|
| 44 |
+
- `device`: `cpu`
|
| 45 |
+
- `input_sha256`: `ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069`
|
| 46 |
+
- `prediction_sha256`: `6a0157e940291ff7af268678d51d9e7dc60d6f6fb98d54d086c32cab22c53c39`
|
| 47 |
+
- `total_runtime_ms`: `40494.3405`
|
| 48 |
+
|
| 49 |
+
Bootstrap: 10000 question-level resamples, seed=42.
|
| 50 |
+
|
| 51 |
+
length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
|
| 52 |
+
|
| 53 |
+
accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_test_predictions.jsonl
ADDED
|
@@ -0,0 +1,127 @@
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|
| 1 |
+
{"instance_id": "ai.stackexchange.com:q:43301", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43304", "ai.stackexchange.com:a:43307"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 299.2015999989235, "scores": [1.6674511432647705, -3.2325658798217773]}
|
| 2 |
+
{"instance_id": "ai.stackexchange.com:q:43453", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43455", "ai.stackexchange.com:a:43505"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 176.3524000016332, "scores": [2.4710497856140137, -0.15298764407634735]}
|
| 3 |
+
{"instance_id": "ai.stackexchange.com:q:43471", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43473", "ai.stackexchange.com:a:45124"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 292.86560000036843, "scores": [-4.688907146453857, -5.7138671875]}
|
| 4 |
+
{"instance_id": "ai.stackexchange.com:q:43547", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43581", "ai.stackexchange.com:a:43568"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 298.9469999993162, "scores": [-4.026193618774414, -6.004373550415039]}
|
| 5 |
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{"instance_id": "ai.stackexchange.com:q:43550", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43622", "ai.stackexchange.com:a:43552", "ai.stackexchange.com:a:43551"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 501.1814999998023, "scores": [4.2569966316223145, 3.275198459625244, 0.38003501296043396]}
|
| 6 |
+
{"instance_id": "ai.stackexchange.com:q:43641", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43686", "ai.stackexchange.com:a:43692"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 279.11149999999907, "scores": [-3.4010231494903564, -8.210092544555664]}
|
| 7 |
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{"instance_id": "ai.stackexchange.com:q:43805", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43806", "ai.stackexchange.com:a:43808"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 243.2794999986072, "scores": [-0.8865222930908203, -2.2211499214172363]}
|
| 8 |
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{"instance_id": "ai.stackexchange.com:q:43820", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43859", "ai.stackexchange.com:a:44938", "ai.stackexchange.com:a:43861"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 394.21389999915846, "scores": [-2.6278247833251953, -3.0659098625183105, -4.854859352111816]}
|
| 9 |
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{"instance_id": "ai.stackexchange.com:q:43826", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43829", "ai.stackexchange.com:a:43895"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 266.6122999999061, "scores": [3.351714849472046, -5.839365482330322]}
|
| 10 |
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{"instance_id": "ai.stackexchange.com:q:43868", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:43873", "ai.stackexchange.com:a:43891"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 249.5350999997754, "scores": [0.17262305319309235, -3.494568109512329]}
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| 11 |
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{"instance_id": "ai.stackexchange.com:q:44907", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:44932", "ai.stackexchange.com:a:44913"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 247.52300000000105, "scores": [0.03986668214201927, -1.3659403324127197]}
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| 12 |
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{"instance_id": "ai.stackexchange.com:q:44987", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:44995", "ai.stackexchange.com:a:44997", "ai.stackexchange.com:a:44991"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 374.7225000006438, "scores": [1.2291359901428223, -0.2534007430076599, -2.430361270904541]}
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| 13 |
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{"instance_id": "ai.stackexchange.com:q:45044", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45067", "ai.stackexchange.com:a:45048"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 250.4415000003064, "scores": [0.14364907145500183, -2.418525218963623]}
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| 14 |
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{"instance_id": "ai.stackexchange.com:q:45064", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45066", "ai.stackexchange.com:a:45068", "ai.stackexchange.com:a:45070"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 352.10799999913434, "scores": [0.1670553982257843, -0.5373948812484741, -4.686717987060547]}
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| 15 |
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{"instance_id": "ai.stackexchange.com:q:45098", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45105", "ai.stackexchange.com:a:45100"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 105.96400000031281, "scores": [1.9658839702606201, 1.9291893243789673]}
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| 16 |
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{"instance_id": "ai.stackexchange.com:q:45121", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45125", "ai.stackexchange.com:a:45132"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 99.98530000120809, "scores": [3.8254129886627197, 0.3841516077518463]}
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{"instance_id": "ai.stackexchange.com:q:45284", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45286", "ai.stackexchange.com:a:45285"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 95.27739999975893, "scores": [0.4124639630317688, -1.0147459506988525]}
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{"instance_id": "ai.stackexchange.com:q:45289", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45290", "ai.stackexchange.com:a:45305"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 112.53279999982624, "scores": [1.6381711959838867, 0.007733181118965149]}
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{"instance_id": "ai.stackexchange.com:q:45298", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45302", "ai.stackexchange.com:a:45309"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 172.8024000003643, "scores": [-0.847725510597229, -7.525732517242432]}
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{"instance_id": "ai.stackexchange.com:q:45314", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:48915", "ai.stackexchange.com:a:45337"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 125.153599999976, "scores": [1.6136722564697266, 0.0037456005811691284]}
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{"instance_id": "ai.stackexchange.com:q:45341", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45343", "ai.stackexchange.com:a:48322"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 234.0598000009777, "scores": [-7.108457565307617, -7.295945644378662]}
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{"instance_id": "ai.stackexchange.com:q:45383", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45388", "ai.stackexchange.com:a:45384"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 128.9560999994137, "scores": [-3.8809261322021484, -4.879544258117676]}
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{"instance_id": "ai.stackexchange.com:q:45390", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45393", "ai.stackexchange.com:a:45391"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 191.91259999934118, "scores": [-2.271678924560547, -7.3148393630981445]}
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{"instance_id": "ai.stackexchange.com:q:45404", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45405", "ai.stackexchange.com:a:45406"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 260.8546999999817, "scores": [-3.9165940284729004, -4.164929389953613]}
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{"instance_id": "ai.stackexchange.com:q:45529", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45530", "ai.stackexchange.com:a:45532"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 230.0829000014346, "scores": [-1.8502936363220215, -2.4606823921203613]}
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{"instance_id": "ai.stackexchange.com:q:45622", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45645", "ai.stackexchange.com:a:45646"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 247.4807000016881, "scores": [-3.5523548126220703, -5.010149002075195]}
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{"instance_id": "ai.stackexchange.com:q:45664", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45669", "ai.stackexchange.com:a:45665"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 197.0392000002903, "scores": [-0.5536447167396545, -1.1127655506134033]}
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{"instance_id": "ai.stackexchange.com:q:45685", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45694", "ai.stackexchange.com:a:45695"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 248.15769999986514, "scores": [2.2683892250061035, 0.09753702580928802]}
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{"instance_id": "ai.stackexchange.com:q:45755", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45767", "ai.stackexchange.com:a:45765"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 240.27449999994133, "scores": [-1.0472661256790161, -3.020768642425537]}
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{"instance_id": "ai.stackexchange.com:q:45864", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45869", "ai.stackexchange.com:a:46059", "ai.stackexchange.com:a:48647"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 407.6012000004994, "scores": [0.770423173904419, -0.5267055034637451, -0.775380551815033]}
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{"instance_id": "ai.stackexchange.com:q:45866", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:45937", "ai.stackexchange.com:a:45941"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 251.13559999954305, "scores": [-1.2316217422485352, -4.580362319946289]}
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{"instance_id": "ai.stackexchange.com:q:46105", "model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2", "ranked_answer_ids": ["ai.stackexchange.com:a:46111", "ai.stackexchange.com:a:46112", "ai.stackexchange.com:a:46134"], "run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188", "runtime_ms": 325.2269000004162, "scores": [3.701873302459717, 3.6344943046569824, 2.274209976196289]}
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benchmarks/answer_reranking/v0.2.1/cross_encoder_test_report.json
ADDED
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@@ -0,0 +1,270 @@
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| 1 |
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|
| 160 |
+
"pairwise_accuracy_clean": 0.5483870967741935,
|
| 161 |
+
"vote_ndcg": 0.8348892804440633,
|
| 162 |
+
"vote_top1_accuracy": 0.4626865671641791
|
| 163 |
+
}
|
| 164 |
+
},
|
| 165 |
+
"by_source_site": {
|
| 166 |
+
"ai.stackexchange.com": {
|
| 167 |
+
"accepted_hit_at_1": 0.4943820224719101,
|
| 168 |
+
"accepted_mrr": 0.7350187265917604,
|
| 169 |
+
"clean_pair_count": 75,
|
| 170 |
+
"confidence_intervals_95": {
|
| 171 |
+
"accepted_hit_at_1": [
|
| 172 |
+
0.39325842696629215,
|
| 173 |
+
0.5955056179775281
|
| 174 |
+
],
|
| 175 |
+
"accepted_mrr": [
|
| 176 |
+
0.6797752808988765,
|
| 177 |
+
0.7902621722846443
|
| 178 |
+
],
|
| 179 |
+
"pairwise_accuracy_clean": [
|
| 180 |
+
0.40384615384615385,
|
| 181 |
+
0.6309523809523809
|
| 182 |
+
],
|
| 183 |
+
"vote_ndcg": [
|
| 184 |
+
0.8412774387853006,
|
| 185 |
+
0.9058361604209365
|
| 186 |
+
],
|
| 187 |
+
"vote_top1_accuracy": [
|
| 188 |
+
0.4606741573033708,
|
| 189 |
+
0.6629213483146067
|
| 190 |
+
]
|
| 191 |
+
},
|
| 192 |
+
"instances": 89,
|
| 193 |
+
"pairwise_accuracy_clean": 0.52,
|
| 194 |
+
"vote_ndcg": 0.8742956837984749,
|
| 195 |
+
"vote_top1_accuracy": 0.5617977528089888
|
| 196 |
+
},
|
| 197 |
+
"datascience.stackexchange.com": {
|
| 198 |
+
"accepted_hit_at_1": 0.7105263157894737,
|
| 199 |
+
"accepted_mrr": 0.8486842105263158,
|
| 200 |
+
"clean_pair_count": 23,
|
| 201 |
+
"confidence_intervals_95": {
|
| 202 |
+
"accepted_hit_at_1": [
|
| 203 |
+
0.5526315789473685,
|
| 204 |
+
0.8421052631578947
|
| 205 |
+
],
|
| 206 |
+
"accepted_mrr": [
|
| 207 |
+
0.7697368421052632,
|
| 208 |
+
0.9210526315789473
|
| 209 |
+
],
|
| 210 |
+
"pairwise_accuracy_clean": [
|
| 211 |
+
0.5,
|
| 212 |
+
0.8695652173913043
|
| 213 |
+
],
|
| 214 |
+
"vote_ndcg": [
|
| 215 |
+
0.8618846474843382,
|
| 216 |
+
0.947481810502012
|
| 217 |
+
],
|
| 218 |
+
"vote_top1_accuracy": [
|
| 219 |
+
0.5,
|
| 220 |
+
0.7894736842105263
|
| 221 |
+
]
|
| 222 |
+
},
|
| 223 |
+
"instances": 38,
|
| 224 |
+
"pairwise_accuracy_clean": 0.6956521739130435,
|
| 225 |
+
"vote_ndcg": 0.9071091256996886,
|
| 226 |
+
"vote_top1_accuracy": 0.6578947368421053
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
"diagnostic_policy": "accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label",
|
| 230 |
+
"length_diagnostic_policy": "length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups",
|
| 231 |
+
"macro_by_source_site": {
|
| 232 |
+
"accepted_hit_at_1": 0.6024541691306919,
|
| 233 |
+
"accepted_mrr": 0.7918514685590381,
|
| 234 |
+
"pairwise_accuracy_clean": 0.6078260869565217,
|
| 235 |
+
"sites": 2,
|
| 236 |
+
"vote_ndcg": 0.8907024047490817,
|
| 237 |
+
"vote_top1_accuracy": 0.6098462448255471
|
| 238 |
+
},
|
| 239 |
+
"overall": {
|
| 240 |
+
"accepted_hit_at_1": 0.5590551181102362,
|
| 241 |
+
"accepted_mrr": 0.7690288713910761,
|
| 242 |
+
"clean_pair_count": 98,
|
| 243 |
+
"confidence_intervals_95": {
|
| 244 |
+
"accepted_hit_at_1": [
|
| 245 |
+
0.47244094488188976,
|
| 246 |
+
0.6456692913385826
|
| 247 |
+
],
|
| 248 |
+
"accepted_mrr": [
|
| 249 |
+
0.7217847769028872,
|
| 250 |
+
0.8149606299212598
|
| 251 |
+
],
|
| 252 |
+
"pairwise_accuracy_clean": [
|
| 253 |
+
0.46236559139784944,
|
| 254 |
+
0.6588235294117647
|
| 255 |
+
],
|
| 256 |
+
"vote_ndcg": [
|
| 257 |
+
0.8570094487528989,
|
| 258 |
+
0.909466208182186
|
| 259 |
+
],
|
| 260 |
+
"vote_top1_accuracy": [
|
| 261 |
+
0.5039370078740157,
|
| 262 |
+
0.6692913385826772
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
"instances": 127,
|
| 266 |
+
"pairwise_accuracy_clean": 0.5612244897959183,
|
| 267 |
+
"vote_ndcg": 0.884113879013011,
|
| 268 |
+
"vote_top1_accuracy": 0.5905511811023622
|
| 269 |
+
}
|
| 270 |
+
}
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_test_run_manifest.json
ADDED
|
@@ -0,0 +1,27 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"artifact_type": "community_qa_lab_benchmark_run",
|
| 3 |
+
"created_at": "2026-08-09T19:05:58.951835+00:00",
|
| 4 |
+
"device": "cpu",
|
| 5 |
+
"input_path": "data\\processed\\v0.2.0\\test.parquet",
|
| 6 |
+
"input_sha256": "ac0320a3477825d9892bd9dfb89c066e64c7e568b5f0e0855b3cb5b5aebdf069",
|
| 7 |
+
"model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
|
| 8 |
+
"model_name": "cross-encoder/ms-marco-MiniLM-L-6-v2",
|
| 9 |
+
"model_revision": "233902d25c440f23af6f7d6e94d2946bac0bee0a",
|
| 10 |
+
"package_versions": {
|
| 11 |
+
"huggingface-hub": "1.27.0",
|
| 12 |
+
"pyarrow": "25.0.0",
|
| 13 |
+
"sentence-transformers": "5.5.1",
|
| 14 |
+
"torch": "2.11.0+cu128",
|
| 15 |
+
"transformers": "5.7.0"
|
| 16 |
+
},
|
| 17 |
+
"prediction_count": 127,
|
| 18 |
+
"prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\cross_encoder_test_predictions.jsonl",
|
| 19 |
+
"prediction_run_config_hashes": [
|
| 20 |
+
"cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188"
|
| 21 |
+
],
|
| 22 |
+
"prediction_sha256": "6a0157e940291ff7af268678d51d9e7dc60d6f6fb98d54d086c32cab22c53c39",
|
| 23 |
+
"python_version": "3.11.9",
|
| 24 |
+
"ranker_class": "PretrainedCrossEncoderRanker",
|
| 25 |
+
"run_config_hash": "cb0badd3f7940b8e20d0df3ec87c1110584d86530a62be9aca2d5ace51139188",
|
| 26 |
+
"total_runtime_ms": 40494.3405
|
| 27 |
+
}
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_validation.md
ADDED
|
@@ -0,0 +1,53 @@
|
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|
|
| 1 |
+
# cross-encoder-ms-marco-MiniLM-L-6-v2 on validation
|
| 2 |
+
|
| 3 |
+
Base dataset: `v0.2.0` (the benchmark report does not modify public Parquet rows).
|
| 4 |
+
|
| 5 |
+
| Metric | Value with 95% bootstrap CI |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| instances | 306 |
|
| 8 |
+
| accepted_hit_at_1 | 0.5948 [0.5392, 0.6471] |
|
| 9 |
+
| accepted_mrr | 0.7857 [0.7557, 0.8143] |
|
| 10 |
+
| vote_top1_accuracy | 0.7516 [0.7026, 0.7974] |
|
| 11 |
+
| vote_ndcg | 0.9292 [0.9139, 0.9433] |
|
| 12 |
+
| pairwise_accuracy_clean | 0.6842 [0.6161, 0.7489] |
|
| 13 |
+
|
| 14 |
+
## By disagreement label
|
| 15 |
+
|
| 16 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 17 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 18 |
+
| accepted_below_top | 43 | 0.3721 [0.2326, 0.5116] | 0.6705 [0.5930, 0.7481] | 0.5349 [0.3953, 0.6744] | 0.8720 [0.8253, 0.9156] |
|
| 19 |
+
| accepted_tied_top | 96 | 0.5625 [0.4583, 0.6667] | 0.7700 [0.7153, 0.8229] | 0.9896 [0.9688, 1.0000] | 0.9959 [0.9908, 0.9995] |
|
| 20 |
+
| accepted_unique_top | 167 | 0.6707 [0.5988, 0.7425] | 0.8244 [0.7849, 0.8628] | 0.6707 [0.5988, 0.7425] | 0.9056 [0.8831, 0.9272] |
|
| 21 |
+
|
| 22 |
+
## By source site
|
| 23 |
+
|
| 24 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 25 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 26 |
+
| ai.stackexchange.com | 113 | 0.6195 [0.5310, 0.7080] | 0.8016 [0.7552, 0.8473] | 0.7257 [0.6460, 0.8053] | 0.9194 [0.8935, 0.9443] |
|
| 27 |
+
| datascience.stackexchange.com | 193 | 0.5803 [0.5130, 0.6477] | 0.7763 [0.7396, 0.8135] | 0.7668 [0.7047, 0.8238] | 0.9349 [0.9169, 0.9520] |
|
| 28 |
+
|
| 29 |
+
## Answer-length diagnostic
|
| 30 |
+
|
| 31 |
+
| Slice | Instances | Accepted@1 | Accepted MRR | Vote@1 | Vote nDCG |
|
| 32 |
+
| --- | ---: | ---: | ---: | ---: | ---: |
|
| 33 |
+
| length_matched | 124 | 0.6210 [0.5323, 0.7016] | 0.8065 [0.7621, 0.8495] | 0.7984 [0.7258, 0.8629] | 0.9450 [0.9248, 0.9638] |
|
| 34 |
+
| length_skewed | 182 | 0.5769 [0.5055, 0.6484] | 0.7715 [0.7312, 0.8104] | 0.7198 [0.6538, 0.7857] | 0.9184 [0.8975, 0.9380] |
|
| 35 |
+
|
| 36 |
+
## Macro by source site
|
| 37 |
+
|
| 38 |
+
Unweighted mean across 2 observed sites: accepted@1=0.5999, accepted MRR=0.7890, vote@1=0.7463, vote nDCG=0.9272.
|
| 39 |
+
|
| 40 |
+
## Reproducibility
|
| 41 |
+
|
| 42 |
+
- `model_name`: `cross-encoder/ms-marco-MiniLM-L-6-v2`
|
| 43 |
+
- `model_revision`: `233902d25c440f23af6f7d6e94d2946bac0bee0a`
|
| 44 |
+
- `device`: `cpu`
|
| 45 |
+
- `input_sha256`: `264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef`
|
| 46 |
+
- `prediction_sha256`: `b4321758c255f4f74757701d55201b8bbbd016744a10bc110cb6f7de3483ec69`
|
| 47 |
+
- `total_runtime_ms`: `55547.9652`
|
| 48 |
+
|
| 49 |
+
Bootstrap: 10000 question-level resamples, seed=42.
|
| 50 |
+
|
| 51 |
+
length_matched uses max/min whitespace-token answer length <= 2.0; length_skewed contains all remaining question groups
|
| 52 |
+
|
| 53 |
+
accepted and vote metrics remain separate on accepted_below_top; the benchmark does not collapse them into a single best-answer label
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_predictions.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_report.json
ADDED
|
@@ -0,0 +1,270 @@
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|
benchmarks/answer_reranking/v0.2.1/cross_encoder_validation_run_manifest.json
ADDED
|
@@ -0,0 +1,27 @@
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|
| 1 |
+
{
|
| 2 |
+
"artifact_type": "community_qa_lab_benchmark_run",
|
| 3 |
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"created_at": "2026-08-09T19:04:33.269615+00:00",
|
| 4 |
+
"device": "cpu",
|
| 5 |
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"input_path": "data\\processed\\v0.2.0\\validation.parquet",
|
| 6 |
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"input_sha256": "264f1da372e4b9492039c1ffcc73769681d442b18ce2507e8b361d0b72699aef",
|
| 7 |
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|
| 8 |
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"model_name": "cross-encoder/ms-marco-MiniLM-L-6-v2",
|
| 9 |
+
"model_revision": "233902d25c440f23af6f7d6e94d2946bac0bee0a",
|
| 10 |
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"package_versions": {
|
| 11 |
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|
| 12 |
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|
| 13 |
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"sentence-transformers": "5.5.1",
|
| 14 |
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"torch": "2.11.0+cu128",
|
| 15 |
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"transformers": "5.7.0"
|
| 16 |
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},
|
| 17 |
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"prediction_count": 306,
|
| 18 |
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"prediction_path": "benchmarks\\answer_reranking\\v0.2.1\\cross_encoder_validation_predictions.jsonl",
|
| 19 |
+
"prediction_run_config_hashes": [
|
| 20 |
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| 21 |
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],
|
| 22 |
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"prediction_sha256": "b4321758c255f4f74757701d55201b8bbbd016744a10bc110cb6f7de3483ec69",
|
| 23 |
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|
| 24 |
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"ranker_class": "PretrainedCrossEncoderRanker",
|
| 25 |
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|
| 26 |
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"total_runtime_ms": 55547.9652
|
| 27 |
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}
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.json
ADDED
|
@@ -0,0 +1,38 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"baseline_model_id": "answer-length",
|
| 3 |
+
"bootstrap": {
|
| 4 |
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"samples": 10000,
|
| 5 |
+
"seed": 42
|
| 6 |
+
},
|
| 7 |
+
"candidate_model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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],
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
+
-0.07209237597086587,
|
| 23 |
+
-0.01582227570855904
|
| 24 |
+
],
|
| 25 |
+
"vote_top1_accuracy": [
|
| 26 |
+
-0.23622047244094488,
|
| 27 |
+
-0.05511811023622047
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"instances": 127,
|
| 31 |
+
"paired_delta": {
|
| 32 |
+
"accepted_hit_at_1": -0.05511811023622047,
|
| 33 |
+
"accepted_mrr": -0.02913385826771654,
|
| 34 |
+
"pairwise_accuracy_clean": -0.08963254593175854,
|
| 35 |
+
"vote_ndcg": -0.04337375835925442,
|
| 36 |
+
"vote_top1_accuracy": -0.14173228346456693
|
| 37 |
+
}
|
| 38 |
+
}
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_test_comparison.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Paired comparison on test
|
| 2 |
+
|
| 3 |
+
Candidate: `cross-encoder-ms-marco-MiniLM-L-6-v2`; baseline: `answer-length`; instances=127.
|
| 4 |
+
|
| 5 |
+
| Metric | Candidate minus baseline (95% bootstrap CI) |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| accepted_hit_at_1 | -0.0551 [-0.1654, 0.0551] |
|
| 8 |
+
| accepted_mrr | -0.0291 [-0.0879, 0.0289] |
|
| 9 |
+
| vote_top1_accuracy | -0.1417 [-0.2362, -0.0551] |
|
| 10 |
+
| vote_ndcg | -0.0434 [-0.0721, -0.0158] |
|
| 11 |
+
| pairwise_accuracy_clean | -0.0896 [-0.1707, -0.0122] |
|
| 12 |
+
|
| 13 |
+
Bootstrap: 10000 paired question-level resamples, seed=42.
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"baseline_model_id": "answer-length",
|
| 3 |
+
"bootstrap": {
|
| 4 |
+
"samples": 10000,
|
| 5 |
+
"seed": 42
|
| 6 |
+
},
|
| 7 |
+
"candidate_model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
|
| 8 |
+
"confidence_intervals_95": {
|
| 9 |
+
"accepted_hit_at_1": [
|
| 10 |
+
-0.12091503267973856,
|
| 11 |
+
0.013071895424836602
|
| 12 |
+
],
|
| 13 |
+
"accepted_mrr": [
|
| 14 |
+
-0.06535947712418302,
|
| 15 |
+
0.003540305010893245
|
| 16 |
+
],
|
| 17 |
+
"pairwise_accuracy_clean": [
|
| 18 |
+
-0.04836601307189543,
|
| 19 |
+
0.048583877995642705
|
| 20 |
+
],
|
| 21 |
+
"vote_ndcg": [
|
| 22 |
+
-0.008304997723076036,
|
| 23 |
+
0.023198106865129492
|
| 24 |
+
],
|
| 25 |
+
"vote_top1_accuracy": [
|
| 26 |
+
-0.016339869281045753,
|
| 27 |
+
0.09477124183006536
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"instances": 306,
|
| 31 |
+
"paired_delta": {
|
| 32 |
+
"accepted_hit_at_1": -0.05555555555555555,
|
| 33 |
+
"accepted_mrr": -0.03131808278867102,
|
| 34 |
+
"pairwise_accuracy_clean": -0.0004357298474945511,
|
| 35 |
+
"vote_ndcg": 0.007360292585301871,
|
| 36 |
+
"vote_top1_accuracy": 0.0392156862745098
|
| 37 |
+
}
|
| 38 |
+
}
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_answer_length_validation_comparison.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Paired comparison on validation
|
| 2 |
+
|
| 3 |
+
Candidate: `cross-encoder-ms-marco-MiniLM-L-6-v2`; baseline: `answer-length`; instances=306.
|
| 4 |
+
|
| 5 |
+
| Metric | Candidate minus baseline (95% bootstrap CI) |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| accepted_hit_at_1 | -0.0556 [-0.1209, 0.0131] |
|
| 8 |
+
| accepted_mrr | -0.0313 [-0.0654, 0.0035] |
|
| 9 |
+
| vote_top1_accuracy | 0.0392 [-0.0163, 0.0948] |
|
| 10 |
+
| vote_ndcg | 0.0074 [-0.0083, 0.0232] |
|
| 11 |
+
| pairwise_accuracy_clean | -0.0004 [-0.0484, 0.0486] |
|
| 12 |
+
|
| 13 |
+
Bootstrap: 10000 paired question-level resamples, seed=42.
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"baseline_model_id": "bm25",
|
| 3 |
+
"bootstrap": {
|
| 4 |
+
"samples": 10000,
|
| 5 |
+
"seed": 42
|
| 6 |
+
},
|
| 7 |
+
"candidate_model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
|
| 8 |
+
"confidence_intervals_95": {
|
| 9 |
+
"accepted_hit_at_1": [
|
| 10 |
+
-0.07086614173228346,
|
| 11 |
+
0.13385826771653545
|
| 12 |
+
],
|
| 13 |
+
"accepted_mrr": [
|
| 14 |
+
-0.04068241469816273,
|
| 15 |
+
0.06692913385826772
|
| 16 |
+
],
|
| 17 |
+
"pairwise_accuracy_clean": [
|
| 18 |
+
-0.11496062992125981,
|
| 19 |
+
0.017716535433070866
|
| 20 |
+
],
|
| 21 |
+
"vote_ndcg": [
|
| 22 |
+
-0.0529345995910845,
|
| 23 |
+
-0.0002740326240227632
|
| 24 |
+
],
|
| 25 |
+
"vote_top1_accuracy": [
|
| 26 |
+
-0.15748031496062992,
|
| 27 |
+
0.023622047244094488
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"instances": 127,
|
| 31 |
+
"paired_delta": {
|
| 32 |
+
"accepted_hit_at_1": 0.031496062992125984,
|
| 33 |
+
"accepted_mrr": 0.013779527559055125,
|
| 34 |
+
"pairwise_accuracy_clean": -0.0468503937007874,
|
| 35 |
+
"vote_ndcg": -0.026014363964994153,
|
| 36 |
+
"vote_top1_accuracy": -0.06299212598425197
|
| 37 |
+
}
|
| 38 |
+
}
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_test_comparison.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Paired comparison on test
|
| 2 |
+
|
| 3 |
+
Candidate: `cross-encoder-ms-marco-MiniLM-L-6-v2`; baseline: `bm25`; instances=127.
|
| 4 |
+
|
| 5 |
+
| Metric | Candidate minus baseline (95% bootstrap CI) |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| accepted_hit_at_1 | 0.0315 [-0.0709, 0.1339] |
|
| 8 |
+
| accepted_mrr | 0.0138 [-0.0407, 0.0669] |
|
| 9 |
+
| vote_top1_accuracy | -0.0630 [-0.1575, 0.0236] |
|
| 10 |
+
| vote_ndcg | -0.0260 [-0.0529, -0.0003] |
|
| 11 |
+
| pairwise_accuracy_clean | -0.0469 [-0.1150, 0.0177] |
|
| 12 |
+
|
| 13 |
+
Bootstrap: 10000 paired question-level resamples, seed=42.
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"baseline_model_id": "bm25",
|
| 3 |
+
"bootstrap": {
|
| 4 |
+
"samples": 10000,
|
| 5 |
+
"seed": 42
|
| 6 |
+
},
|
| 7 |
+
"candidate_model_id": "cross-encoder-ms-marco-MiniLM-L-6-v2",
|
| 8 |
+
"confidence_intervals_95": {
|
| 9 |
+
"accepted_hit_at_1": [
|
| 10 |
+
-0.10457516339869281,
|
| 11 |
+
0.0196078431372549
|
| 12 |
+
],
|
| 13 |
+
"accepted_mrr": [
|
| 14 |
+
-0.05092592592592592,
|
| 15 |
+
0.013344226579520696
|
| 16 |
+
],
|
| 17 |
+
"pairwise_accuracy_clean": [
|
| 18 |
+
-0.0457516339869281,
|
| 19 |
+
0.0457516339869281
|
| 20 |
+
],
|
| 21 |
+
"vote_ndcg": [
|
| 22 |
+
-0.009222240112004308,
|
| 23 |
+
0.01867630871793714
|
| 24 |
+
],
|
| 25 |
+
"vote_top1_accuracy": [
|
| 26 |
+
-0.029411764705882353,
|
| 27 |
+
0.06862745098039216
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"instances": 306,
|
| 31 |
+
"paired_delta": {
|
| 32 |
+
"accepted_hit_at_1": -0.042483660130718956,
|
| 33 |
+
"accepted_mrr": -0.019335511982570806,
|
| 34 |
+
"pairwise_accuracy_clean": -0.00010893246187363796,
|
| 35 |
+
"vote_ndcg": 0.004590965584291085,
|
| 36 |
+
"vote_top1_accuracy": 0.0196078431372549
|
| 37 |
+
}
|
| 38 |
+
}
|
benchmarks/answer_reranking/v0.2.1/cross_encoder_vs_bm25_validation_comparison.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Paired comparison on validation
|
| 2 |
+
|
| 3 |
+
Candidate: `cross-encoder-ms-marco-MiniLM-L-6-v2`; baseline: `bm25`; instances=306.
|
| 4 |
+
|
| 5 |
+
| Metric | Candidate minus baseline (95% bootstrap CI) |
|
| 6 |
+
| --- | ---: |
|
| 7 |
+
| accepted_hit_at_1 | -0.0425 [-0.1046, 0.0196] |
|
| 8 |
+
| accepted_mrr | -0.0193 [-0.0509, 0.0133] |
|
| 9 |
+
| vote_top1_accuracy | 0.0196 [-0.0294, 0.0686] |
|
| 10 |
+
| vote_ndcg | 0.0046 [-0.0092, 0.0187] |
|
| 11 |
+
| pairwise_accuracy_clean | -0.0001 [-0.0458, 0.0458] |
|
| 12 |
+
|
| 13 |
+
Bootstrap: 10000 paired question-level resamples, seed=42.
|