Dataset

Nucleotide Transformer benchmark splice-site dataset, all sites

Splice-site classification data covering 5 species and 3 categories: 30,000 sequences, 27,000 train and 3,000 test.

Evaluation results

11 evaluations · 44 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: DNABERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9833(0.0004) Accuracy (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0004 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'DNABERT', column 'Accuracy'
Configuration: DNABERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9834(0.0004) F1 (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0004 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'DNABERT', column 'F1 Score'
Configuration: DNABERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9834(0.0003) Precision (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0003 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'DNABERT', column 'Precision'
Configuration: DNABERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9833(0.0004) Recall (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0004 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'DNABERT', column 'Recall'
Configuration: DNABERT2 fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9499(0.0037) Accuracy (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0037 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT2 on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'DNABERT2', column 'Accuracy'
Configuration: DNABERT2 fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9500(0.0036) F1 (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0036 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT2 on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'DNABERT2', column 'F1 Score'
Configuration: DNABERT2 fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9503(0.0034) Precision (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0034 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT2 on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'DNABERT2', column 'Precision'
Configuration: DNABERT2 fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9499(0.0037) Recall (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0037 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source DNABERT2 on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'DNABERT2', column 'Recall'
Configuration: GENA-LM-base fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9336(0.0021) Accuracy (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0021 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GENA-LM-base on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'GENA-LM-base', column 'Accuracy'
Configuration: GENA-LM-base fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9337(0.0023) F1 (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0023 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GENA-LM-base on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'GENA-LM-base', column 'F1 Score'
Configuration: GENA-LM-base fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9341(0.0026) Precision (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0026 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GENA-LM-base on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'GENA-LM-base', column 'Precision'
Configuration: GENA-LM-base fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9336(0.0021) Recall (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0021 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GENA-LM-base on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'GENA-LM-base', column 'Recall'
Configuration: GENA-LM-large fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9482(0.0032) Accuracy (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0032 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GENA-LM-large on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'GENA-LM-large', column 'Accuracy'
Configuration: GENA-LM-large fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9483(0.0030) F1 (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0030 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GENA-LM-large on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'GENA-LM-large', column 'F1 Score'
Configuration: GENA-LM-large fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9488(0.0025) Precision (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0025 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GENA-LM-large on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'GENA-LM-large', column 'Precision'
Configuration: GENA-LM-large fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9482(0.0032) Recall (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0032 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source GENA-LM-large on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'GENA-LM-large', column 'Recall'
Configuration: NucleotideTransformer fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9842(0.0009) Accuracy (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0009 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NucleotideTransformer on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'NucleotideTransformer', column 'Accuracy'
Configuration: NucleotideTransformer fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9842(0.0009) F1 (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0009 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NucleotideTransformer on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'NucleotideTransformer', column 'F1 Score'
Configuration: NucleotideTransformer fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9843(0.0009) Precision (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0009 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NucleotideTransformer on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'NucleotideTransformer', column 'Precision'
Configuration: NucleotideTransformer fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9842(0.0009) Recall (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0009 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source NucleotideTransformer on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'NucleotideTransformer', column 'Recall'
Configuration: RNABERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9694(0.0006) Accuracy (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0006 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNABERT on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'RNABERT', column 'Accuracy'
Configuration: RNABERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9694(0.0006) F1 (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0006 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNABERT on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'RNABERT', column 'F1 Score'
Configuration: RNABERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9694(0.0006) Precision (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0006 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNABERT on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'RNABERT', column 'Precision'
Configuration: RNABERT fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9694(0.0006) Recall (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0006 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNABERT on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'RNABERT', column 'Recall'
Configuration: RNAErnie fine-tuned with an appended convolutional layer (You et al. 2026)	Protocol: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4) Dataset: Nucleotide Transformer benchmark splice-site dataset, all sites	0.9809(0.0005) Accuracy (NT-splice-sites-all, fine-tuned) fraction · higher Uncertainty: SD 0.0005 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source RNAErnie on NT-splice-sites-all gfm2-20261011-you2026-protocol-nt-splice-all Aggregation: Not reported Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications; You et al. 2026, Supplementary Information · Supplementary Table 4, block 'NT-splice-sites-all', row 'RNAErnie', column 'Accuracy'

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Release 2026-10-22-1b7cf027e4f6 · Evidence verified: Not verified

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Inspect claims, sources and review details

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14 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statement	Original source and location	Review and provenance
Population 5 species, 3 categories; 30,000 sequences Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.population` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Population 5 species, 3 categories; 30,000 sequences Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.population` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.source_locator` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Split 27,000 train / 3,000 test Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.split` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Split 27,000 train / 3,000 test Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.split` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Total 30000 Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.total` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Total 30000 Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.total` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Version As used by You et al. 2026 (Table 1, 'NT-splice-sites-all') Context-only references	Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.version` Source artifact SHA-256: `2c6b2816846a21296c56b4dd58f3d1e8810e9d96e224d3ab21b5eb8faa9928e4` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Version As used by You et al. 2026 (Table 1, 'NT-splice-sites-all') Context-only references	You et al. 2026, Supplementary Information Original source ↗ Table 1, 'Splicing prediction', row 'NT-splice-sites-all' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact) Retrieved: 2026-10-11T00:55:34Z	not individually reviewed No individual claim review recorded Audit details Field: `attributes.version` Source artifact SHA-256: `cbb69e05045a4526e35479d2c1361ebb9cfadfd968e00675390dad597035d882` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

2 source records and release history

Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications · Original source · Nat Commun 17:223, published online 2025-12-07; PMC12780105 full-text XML
You et al. 2026, Supplementary Information · Original source · 41467_2025_66899_MOESM1_ESM.pdf inside the Europe PMC supplementaryFiles zip (outer zip 9a0d0a8d8643872ab265e3e6ed7eea944563da4861bf764f97c68fc6aa502525, assembled per request; the member hash is the bound artifact)

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Technical metadata and extraction receipts

Stable ID: gfm2-20261011-you2026-data-nt-splice-all

areas: dna-genomes
contexts: research
version: As used by You et al. 2026 (Table 1, 'NT-splice-sites-all')
split: 27,000 train / 3,000 test
population: 5 species, 3 categories; 30,000 sequences
total: 30000
source locator: Table 1, 'Splicing prediction', row 'NT-splice-sites-all'

Related records

data: DNABERT on NT-splice-sites-all
data: DNABERT2 on NT-splice-sites-all
data: GENA-LM-base on NT-splice-sites-all
data: GENA-LM-large on NT-splice-sites-all
data: NucleotideTransformer on NT-splice-sites-all
data: RNABERT on NT-splice-sites-all
data: RNAErnie on NT-splice-sites-all
data: RNAFM on NT-splice-sites-all
data: RNAMSM on NT-splice-sites-all
data: SpliceBERT on NT-splice-sites-all
data: UTRLM on NT-splice-sites-all
uses data: NT-splice-sites-all splice-site classification, fine-tuned models (You et al. 2026 Supplementary Table 4)

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