track · audited · verified 2026-07-21

LAB-Bench DbQA — Protein variant with multiple sequences

Identifies ClinVar variant pathogenicity while reasoning across multiple protein sequences.

Benchmark definition

What is counted

Version
repository-998a8e0
Total
100 (questions across public and private splits)
Task formats
multiple choice
Capabilities
RetrievalClassificationScientific reasoning
Modalities
TextProtein sequenceDatabaseWeb

Version history

VersionStatusRelease / as-ofTotalFormal tracks
paper-v3
lab-bench-dbqa-variant-multi-sequence-paper-v3
active2024-07-17100 (questions across public and private splits)None registered
repository-998a8e0
lab-bench-dbqa-variant-multi-sequence-repository-998a8e0
current2025-09-27100 (questions across public and private splits)None registered

Tracks and subsets

IDCountBasisPartition?Notes
Public split
lab-bench-dbqa-variant-multi-sequence-public
80questionsExclusive & exhaustiveReleased in the official repository and Hugging Face dataset.
Private contamination-monitoring split
lab-bench-dbqa-variant-multi-sequence-private
20questionsExclusive & exhaustiveIDs are published; question contents are withheld.

Scientific Task Atlas

Scientific task classification

complete for repository-998a8e0. ClinVar lookup and pathogenicity interpretation across multiple protein sequences.

Scientific taskCoverageCountMappingEvidence
Scientific database retrievalexplicitly-in-scope100 questions
questions across public and private splits
official-track
high confidence
lab-bench-dbqa-variant-multi-sequence-evidence-paper
ClinVar retrieval.
Protein clinical variant interpretationexplicitly-in-scope100 questions
questions across public and private splits
official-track
high confidence
lab-bench-dbqa-variant-multi-sequence-evidence-paper
Variant pathogenicity is explicitly evaluated.

Scientific coverage notes

DomainCoverageCountInterpretation
Protein sequenceexplicitly-in-scope100All questions contain or compare protein sequences.

Evaluation registry

Works and run settings

A setting change—scope, prompt, tools, budget, grader, or repeats—creates a separate run. Charts never cross a comparability group.

Evaluation run

lab-bench-dbqa-variant-multi-sequence-creator-mcq

From LAB-Bench: Measuring Capabilities of Language Models for Biology Research

lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-toolsvpaper-v3

Evaluated models / systems: Claude 3.5 Sonnet (claude-3-5-sonnet-20240620), Claude 3 Haiku (claude-3-haiku-20240307), Claude 3 Opus (claude-3-opus-20240229), Gemini 1.5 Pro (gemini-1.5-pro-001), GPT-4 Turbo (LAB-Bench snapshot not reported), GPT-4o (LAB-Bench snapshot not reported), Meta-Llama-3-70B-Instruct (Anyscale API)

Scopefull · n=100
Shots0
Turnssingle-turn
System prompt publicYes
Reasoning / effortzero-shot chain-of-thought
BrowserNo
InternetNo
DatabasesNo
Code executionNo
ContainerNo
External toolsNo
Token budgetNot reported
Time / cost budgetNot reported
TemperatureNot reported
SeedNot reported
Repeats3
Graderregex multiple-choice parser with Claude 2 fallback · model: Claude 2 fallback parser · human review: no
Statisticsmean across three runs per model
Contaminationfull pre-release snapshot with 80% later public and 20% private contamination-monitoring splits
Metrics, results, and full protocol

Metrics

MetricKind / baselineUnitAggregationThreshold / tolerance
Accuracyabsoluteproportioncorrect / all questions; mean over three runsexact choice
Precision (selective accuracy)absoluteproportioncorrect / attempted questions; mean over three runsinsufficient-information responses excluded from denominator
Coverageabsoluteproportionattempted / all questions; mean over three runsinsufficient-information responses treated as not attempted

Results

ModelMetricValuen
Claude 3.5 Sonnet (claude-3-5-sonnet-20240620)Accuracy0.09 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Claude 3.5 Sonnet (claude-3-5-sonnet-20240620)Precision (selective accuracy)0.16 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Claude 3.5 Sonnet (claude-3-5-sonnet-20240620)Coverage0.56 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Claude 3 Opus (claude-3-opus-20240229)Accuracy0.05 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Claude 3 Opus (claude-3-opus-20240229)Precision (selective accuracy)0.18 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Claude 3 Opus (claude-3-opus-20240229)Coverage0.26 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Gemini 1.5 Pro (gemini-1.5-pro-001)Accuracy0 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Gemini 1.5 Pro (gemini-1.5-pro-001)Precision (selective accuracy)0.33 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Gemini 1.5 Pro (gemini-1.5-pro-001)Coverage0.04 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
GPT-4o (LAB-Bench snapshot not reported)Accuracy0.06 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
GPT-4o (LAB-Bench snapshot not reported)Precision (selective accuracy)0.12 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
GPT-4o (LAB-Bench snapshot not reported)Coverage0.49 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
GPT-4 Turbo (LAB-Bench snapshot not reported)Accuracy0 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
GPT-4 Turbo (LAB-Bench snapshot not reported)Precision (selective accuracy)0 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
GPT-4 Turbo (LAB-Bench snapshot not reported)Coverage0.02 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Claude 3 Haiku (claude-3-haiku-20240307)Accuracy0.14 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Claude 3 Haiku (claude-3-haiku-20240307)Precision (selective accuracy)0.16 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Claude 3 Haiku (claude-3-haiku-20240307)Coverage0.84 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Meta-Llama-3-70B-Instruct (Anyscale API)Accuracy0.07 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Meta-Llama-3-70B-Instruct (Anyscale API)Precision (selective accuracy)0.12 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100
Meta-Llama-3-70B-Instruct (Anyscale API)Coverage0.63 proportion
Creator-paper full-snapshot result; human-baseline row is not encoded as a model result.
100

Evidence

  • section: Appendix D.1–D.4; Table 1 and Appendix Table 6 (Full scope, zero-shot chain-of-thought prompt, no tools, three runs, exact metrics, parser, and model identities.) — supports /benchmark_version, /model_ids, /scope, /protocol, /metrics
  • table: Tables 2–4, row DbQA_variant_multi_sequence_task-v1 (Accuracy, precision, and coverage. Human row excluded.) — supports /results

Comparable result views

Accuracy

lab-bench-dbqa-variant-multi-sequence-creator-mcq · lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools

CSV ↓
Accessible data table
ModelValueComparability group
Claude 3.5 Sonnet (claude-3-5-sonnet-20240620)0.09lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Claude 3 Opus (claude-3-opus-20240229)0.05lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Gemini 1.5 Pro (gemini-1.5-pro-001)0lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
GPT-4o (LAB-Bench snapshot not reported)0.06lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
GPT-4 Turbo (LAB-Bench snapshot not reported)0lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Claude 3 Haiku (claude-3-haiku-20240307)0.14lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Meta-Llama-3-70B-Instruct (Anyscale API)0.07lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools

Precision (selective accuracy)

lab-bench-dbqa-variant-multi-sequence-creator-mcq · lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools

CSV ↓
Accessible data table
ModelValueComparability group
Claude 3.5 Sonnet (claude-3-5-sonnet-20240620)0.16lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Claude 3 Opus (claude-3-opus-20240229)0.18lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Gemini 1.5 Pro (gemini-1.5-pro-001)0.33lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
GPT-4o (LAB-Bench snapshot not reported)0.12lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
GPT-4 Turbo (LAB-Bench snapshot not reported)0lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Claude 3 Haiku (claude-3-haiku-20240307)0.16lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Meta-Llama-3-70B-Instruct (Anyscale API)0.12lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools

Coverage

lab-bench-dbqa-variant-multi-sequence-creator-mcq · lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools

CSV ↓
Accessible data table
ModelValueComparability group
Claude 3.5 Sonnet (claude-3-5-sonnet-20240620)0.56lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Claude 3 Opus (claude-3-opus-20240229)0.26lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Gemini 1.5 Pro (gemini-1.5-pro-001)0.04lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
GPT-4o (LAB-Bench snapshot not reported)0.49lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
GPT-4 Turbo (LAB-Bench snapshot not reported)0.02lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Claude 3 Haiku (claude-3-haiku-20240307)0.84lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools
Meta-Llama-3-70B-Instruct (Anyscale API)0.63lab-bench-dbqa-variant-multi-sequence-paper-v3-zero-shot-cot-no-tools

Evidence and change history

Source locators remain visible; expand an item to inspect the exact Registry fields it supports.

LAB-Bench: Measuring Capabilities of Language Models for Biology Research · section: Table 1; Appendix Tables 2–6; task description for DbQA_variant_multi_sequence_task-v1 (Task definition, total count, creator protocol, and result row.) · Supports 18 fields

Open source →

  • /name
  • /organizations
  • /release_date
  • /kind
  • /domains
  • /capabilities
  • /modalities
  • /task_counts/total
  • /task_counts/basis
  • /task_counts/subsets
  • /coverage_notes
  • /access/level
  • /access/license
  • /versions/0/task_counts/total
  • /versions/0/task_counts/basis
  • /versions/0/task_counts/subsets
  • /scientific_task_classification/entries/0
  • /scientific_task_classification/entries/1
lab-bench-dbqa-variant-multi-sequence-repository-resource · repository-path: DbQA/variant_multi_sequence_task-v1-splits.json; DbQA/variant_multi_sequence_task-v1-public.jsonl where present; task.py at 998a8e0a40cf116c80e1b0e7a805ebb5fb9fa838 (Public/private/total 80/20/100.) · Supports 13 fields

Open source →

  • /latest_version
  • /task_counts/total
  • /task_counts/basis
  • /task_counts/subsets
  • /access/level
  • /access/tasks
  • /access/artifacts
  • /access/grader
  • /access/license
  • /resources
  • /versions/1/task_counts/total
  • /versions/1/task_counts/basis
  • /versions/1/task_counts/subsets

View source-level modification history on GitHub →