suite · audited · verified 2026-07-22

TAPE

A five-task benchmark for protein representation learning spanning secondary structure, residue contacts, remote homology, fluorescence, and stability.

+2 more

Benchmark definition

What is counted

Version
original-2019
Total
5 (supervised downstream benchmark tasks)
Task formats
sequence classification; per-residue classification; residue-pair classification; sequence regression
Capabilities
PredictionClassificationRegression
Modalities
Protein sequence

Version history

VersionStatusRelease / as-ofTotalFormal tracks
original-2019
tape-original-2019
current2019-06-195 (supervised downstream benchmark tasks)None registered

Tracks and subsets

IDCountBasisPartition?Notes
Structure prediction tasks
tape-structure-tasks
2supervised downstream tasksExclusive & exhaustiveSecondary structure and contact prediction.
Evolutionary understanding task
tape-evolution-task
1supervised downstream tasksExclusive & exhaustiveRemote homology detection.
Protein engineering tasks
tape-engineering-tasks
2supervised downstream tasksExclusive & exhaustiveFluorescence and stability landscape prediction.

Scientific Task Atlas

Scientific task classification

complete for original-2019. The five supervised downstream tasks are explicitly defined and grouped in the creator paper.

Scientific taskCoverageCountMappingEvidence
Protein secondary-structure predictionexplicitly-in-scope1 tasks
Supervised downstream benchmark tasks.
official-taxonomy
high confidence
tape-paper-definition-evidence
Per-residue three-state and eight-state secondary-structure prediction constitute one benchmark task.
Protein contact-map predictionexplicitly-in-scope1 tasks
Supervised downstream benchmark tasks.
official-taxonomy
high confidence
tape-paper-definition-evidence
Residue-pair contact prediction is the second structure task; it is not relabeled as full 3D folding.
Protein remote-homology detectionexplicitly-in-scope1 tasks
Supervised downstream benchmark tasks.
official-taxonomy
high confidence
tape-paper-definition-evidence
Fold-level remote-homology classification.
Protein fluorescence predictionexplicitly-in-scope1 tasks
Supervised downstream benchmark tasks.
official-taxonomy
high confidence
tape-paper-definition-evidence
Sequence-to-fluorescence regression; this is prediction, not sequence generation.
Protein stability predictionexplicitly-in-scope1 tasks
Supervised downstream benchmark tasks.
official-taxonomy
high confidence
tape-paper-definition-evidence
Sequence-to-stability regression; this is prediction, not sequence generation.

Scientific coverage notes

DomainCoverageCountInterpretation
Protein structureexplicitly-in-scope2Secondary-structure and contact-map prediction are distinct tasks; TAPE is not a full 3D folding benchmark.
Protein designexplicitly-in-scope2The paper calls fluorescence and stability protein-engineering tasks, but they evaluate prediction rather than sequence generation.

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

tape-creator-full

From Evaluating Protein Transfer Learning with TAPE

tape-creator-task-nativevoriginal-2019
Scopefull · n=5
ShotsNot applicable
TurnsNot applicable
System prompt publicNot applicable
Reasoning / effortNot applicable
BrowserNot applicable
InternetNot applicable
DatabasesNot applicable
Code executionNot applicable
ContainerNot reported
External toolstask-specific supervised heads over frozen or fine-tuned protein representations
Token budgetNot applicable
Time / cost budgetNot reported
TemperatureNot applicable
SeedNot reported
RepeatsNot reported
Graderdeterministic task-specific scorer · human review: no
StatisticsTask-level evaluation only; no cross-task normalized aggregate.
ContaminationSequence-identity filtering and biologically motivated held-out splits.
Metrics, results, and full protocol

Metrics

MetricKind / baselineUnitAggregationThreshold / tolerance
Per-amino-acid accuracyabsoluteproportionacross labeled residuesNot reported
L/5 medium and long-range precisionabsoluteproportionper protein then task summaryNot reported
Fold-level accuracyabsoluteproportionheld-out test examplesNot reported
Spearman's rhoabsolutecorrelationheld-out test examplesNot reported

No numeric result rows are published yet; the verified protocol remains useful.

Evidence

  • section: Sections 4.2-5 and Table 2; Appendix A (Defines all five task splits, architectures, training procedures, native metrics, and creator comparison table.) — supports /scope, /protocol, /metrics

Evidence and change history

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

Evaluating Protein Transfer Learning with TAPE · section: Abstract; Sections 4.2 and 5; pp. 4-7, Table 2 (Defines the five tasks, their three biological groups, splits, primary metrics, and creator evaluation.) · Supports 27 fields

Open source →

  • /name
  • /aliases
  • /summary
  • /kind
  • /organizations
  • /release_date
  • /latest_version
  • /domains
  • /capabilities
  • /modalities
  • /task_formats
  • /task_counts/total
  • /task_counts/basis
  • /task_counts/subsets
  • /coverage_notes
  • /access/level
  • /access/license
  • /resources
  • /versions/0/release_date
  • /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
  • /scientific_task_classification/entries/2
  • /scientific_task_classification/entries/3
  • /scientific_task_classification/entries/4
tape-original-repository-resource · repository-path: README.md; tape/tasks; tape/data_utils at dad242d0341379255213cb8715d33b57aa9369bb (Confirms the five downloadable supervised datasets, evaluators, model list, and MIT code license.) · Supports 7 fields

Open source →

  • /access/tasks
  • /access/artifacts
  • /access/grader
  • /access/license
  • /resources
  • /implementations
  • /versions/0/formal_tracks

View source-level modification history on GitHub →