Variant-centred sequences from the Enformer eQTL causal-variant dataset as distributed in InstaDeepAI/genomics-long-range-benchmark.
3 evaluations · 8 results. Different protocols are not a single leaderboard.
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6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Accession https://huggingface.co/datasets/InstaDeepAI/genomics-long-range-benchmark (accessed 29 September 2025) Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction Table 1; Methods paragraph 2; Data Availability Statement Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Population Train split 44,655 benign and 44,405 pathogenic; test split 4,306 benign and 4,556 pathogenic (Table 1) Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction Table 1; Methods paragraph 2; Data Availability Statement Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location Table 1; Methods paragraph 2; Data Availability Statement Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction Table 1; Methods paragraph 2; Data Availability Statement Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Split Benchmark train and test splits Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction Table 1; Methods paragraph 2; Data Availability Statement Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Description Variant-centred sequences from the Enformer eQTL causal-variant dataset as distributed in InstaDeepAI/genomics-long-range-benchmark. Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction Table 1; Methods paragraph 2; Data Availability Statement Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Name Enformer eQTL causal-variant dataset, Genomics Long-Range Benchmark version (Hegde et al. 2025) Context-only references | Reaping the Fruits of LLM Pruning: Towards Small Language Models for Efficient Non-Coding Variant Effect Prediction Table 1; Methods paragraph 2; Data Availability Statement Version: Genes 16(11):1358, 2025; PMC12652071 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
Stable ID: gfm-guide-20261014-data-hegde-enformer-eqtl