Org card content
Browse files- index.html +117 -19
index.html
CHANGED
|
@@ -1,19 +1,117 @@
|
|
| 1 |
-
<!doctype html>
|
| 2 |
-
<
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
</
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<!doctype html><html><head><meta charset="utf-8"><meta name="viewport" content="width=device-width"><title>TabBioMed</title><link rel="stylesheet" href="style.css"></head><body><div class="card">
|
| 2 |
+
<h1>TabBioMed</h1>
|
| 3 |
+
<p><strong>TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning</strong> — 94 curated public biomedical tabular datasets with standardized train/validation/test splits or cross-validation folds.</p>
|
| 4 |
+
<p>🏆 <strong>Live leaderboard coming soon.</strong></p>
|
| 5 |
+
<p>Code: <a href="https://github.com/AI-sandbox/TabBioMed">github.com/AI-sandbox/TabBioMed</a></p>
|
| 6 |
+
<h2>Datasets</h2>
|
| 7 |
+
<h3>Clinical & Healthcare (22)</h3><ul>
|
| 8 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/audiology">audiology</a></li>
|
| 9 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/blood-transfusion-service">blood-transfusion-service</a></li>
|
| 10 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Cardiovascular-Disease-dataset">Cardiovascular-Disease-dataset</a></li>
|
| 11 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/CDC_Diabetes_Health_Indicators">CDC_Diabetes_Health_Indicators</a></li>
|
| 12 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/dermatology">dermatology</a></li>
|
| 13 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Diabetes_UCI">Diabetes_UCI</a></li>
|
| 14 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Diabetic_Retinopathy_Debrecen">Diabetic_Retinopathy_Debrecen</a></li>
|
| 15 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/HeartDisease_UCI">HeartDisease_UCI</a></li>
|
| 16 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/IACCD">IACCD</a></li>
|
| 17 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/ilpd_patient_data">ilpd_patient_data</a></li>
|
| 18 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/lymphography">lymphography</a></li>
|
| 19 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/maternal_health_risk">maternal_health_risk</a></li>
|
| 20 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MUSIC">MUSIC</a></li>
|
| 21 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/National_Health_and_Nutrition_Health_Survey">National_Health_and_Nutrition_Health_Survey</a></li>
|
| 22 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Parkinson_Speech">Parkinson_Speech</a></li>
|
| 23 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/PatientCare">PatientCare</a></li>
|
| 24 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/pima_diabetes">pima_diabetes</a></li>
|
| 25 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/sick">sick</a></li>
|
| 26 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/spectf">spectf</a></li>
|
| 27 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/thyroid">thyroid</a></li>
|
| 28 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/VitalDB">VitalDB</a></li>
|
| 29 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/wisconsin-breast-cancer">wisconsin-breast-cancer</a></li>
|
| 30 |
+
</ul>
|
| 31 |
+
<h3>Genomics (14)</h3><ul>
|
| 32 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/continental_1k">continental_1k</a></li>
|
| 33 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/continental_50k">continental_50k</a></li>
|
| 34 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/continental_50k_missing">continental_50k_missing</a></li>
|
| 35 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/coords_1k">coords_1k</a></li>
|
| 36 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/coords_50k">coords_50k</a></li>
|
| 37 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/dna">dna</a></li>
|
| 38 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/pca_1k">pca_1k</a></li>
|
| 39 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/pca_50k">pca_50k</a></li>
|
| 40 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/sexcheck_chrX_50">sexcheck_chrX_50</a></li>
|
| 41 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/sexcheck_chrX_500">sexcheck_chrX_500</a></li>
|
| 42 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/sexcheck_chrX_50k">sexcheck_chrX_50k</a></li>
|
| 43 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/subpop_1000_consec">subpop_1000_consec</a></li>
|
| 44 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/subpop_50k">subpop_50k</a></li>
|
| 45 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/vep_pathogenic_coding">vep_pathogenic_coding</a></li>
|
| 46 |
+
</ul>
|
| 47 |
+
<h3>Drug Discovery (13)</h3><ul>
|
| 48 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/bioresponse">bioresponse</a></li>
|
| 49 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/ESOL">ESOL</a></li>
|
| 50 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/HIV">HIV</a></li>
|
| 51 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/QM8_E1-CC2">QM8_E1-CC2</a></li>
|
| 52 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/QM8_f1-CC2">QM8_f1-CC2</a></li>
|
| 53 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/QM9_g298">QM9_g298</a></li>
|
| 54 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/QM9_gap">QM9_gap</a></li>
|
| 55 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/QSAR_biodegradation">QSAR_biodegradation</a></li>
|
| 56 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/SIDER_gastro">SIDER_gastro</a></li>
|
| 57 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/SIDER_nervous">SIDER_nervous</a></li>
|
| 58 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Tox21_NRAhR">Tox21_NRAhR</a></li>
|
| 59 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Tox21_NRER">Tox21_NRER</a></li>
|
| 60 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Tox21_SRMMP">Tox21_SRMMP</a></li>
|
| 61 |
+
</ul>
|
| 62 |
+
<h3>Proteomics (11)</h3><ul>
|
| 63 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/avida_hil6_onehot">avida_hil6_onehot</a></li>
|
| 64 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/avida_htnfa_3mer">avida_htnfa_3mer</a></li>
|
| 65 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/avida_htnfa_esm2">avida_htnfa_esm2</a></li>
|
| 66 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/avida_htnfa_onehot">avida_htnfa_onehot</a></li>
|
| 67 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/avida_sarscov2_3mer">avida_sarscov2_3mer</a></li>
|
| 68 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/cptac_histology">cptac_histology</a></li>
|
| 69 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/ecoli">ecoli</a></li>
|
| 70 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/proteinea_solubility">proteinea_solubility</a></li>
|
| 71 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/true_betalactamase_unique">true_betalactamase_unique</a></li>
|
| 72 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/true_fluorescence">true_fluorescence</a></li>
|
| 73 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/true_melting_point">true_melting_point</a></li>
|
| 74 |
+
</ul>
|
| 75 |
+
<h3>Metabolomics (10)</h3><ul>
|
| 76 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Gum1_s">Gum1_s</a></li>
|
| 77 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MTBLS136">MTBLS136</a></li>
|
| 78 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MTBLS161">MTBLS161</a></li>
|
| 79 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MTBLS404">MTBLS404</a></li>
|
| 80 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Noc_s">Noc_s</a></li>
|
| 81 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/PT-Mush21">PT-Mush21</a></li>
|
| 82 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/ST000369">ST000369</a></li>
|
| 83 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/ST000496">ST000496</a></li>
|
| 84 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/ST001000">ST001000</a></li>
|
| 85 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/ST001047">ST001047</a></li>
|
| 86 |
+
</ul>
|
| 87 |
+
<h3>Single-cell (10)</h3><ul>
|
| 88 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/hnoca_cells30">hnoca_cells30</a></li>
|
| 89 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/sc_gastrulation_stage">sc_gastrulation_stage</a></li>
|
| 90 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/sc_muraro_celltype">sc_muraro_celltype</a></li>
|
| 91 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/sc_muris_age">sc_muris_age</a></li>
|
| 92 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/sc_muris_celltype">sc_muris_celltype</a></li>
|
| 93 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/tahoe_batch_integration_14plates">tahoe_batch_integration_14plates</a></li>
|
| 94 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/tahoe_cell_name_1000">tahoe_cell_name_1000</a></li>
|
| 95 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/tahoe_cell_name_500">tahoe_cell_name_500</a></li>
|
| 96 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/tahoe_cell_name_5000">tahoe_cell_name_5000</a></li>
|
| 97 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/tahoe_g2m_score">tahoe_g2m_score</a></li>
|
| 98 |
+
</ul>
|
| 99 |
+
<h3>Transcriptomics (9)</h3><ul>
|
| 100 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/ALLAML">ALLAML</a></li>
|
| 101 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/CLL_SUB_111">CLL_SUB_111</a></li>
|
| 102 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/GLI_85">GLI_85</a></li>
|
| 103 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/GLIOMA">GLIOMA</a></li>
|
| 104 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/lung">lung</a></li>
|
| 105 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/metabric_grade">metabric_grade</a></li>
|
| 106 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/Prostate_GE">Prostate_GE</a></li>
|
| 107 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/SMK_CAN_187">SMK_CAN_187</a></li>
|
| 108 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/TOX_171">TOX_171</a></li>
|
| 109 |
+
</ul>
|
| 110 |
+
<h3>Systems Biology (5)</h3><ul>
|
| 111 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MultiOmics_GS-BRCA">MultiOmics_GS-BRCA</a></li>
|
| 112 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MultiOmics_GS-COAD">MultiOmics_GS-COAD</a></li>
|
| 113 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MultiOmics_GS-GBM">MultiOmics_GS-GBM</a></li>
|
| 114 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MultiOmics_GS-LGG">MultiOmics_GS-LGG</a></li>
|
| 115 |
+
<li><a href="https://huggingface.co/datasets/TabBioMed/MultiOmics_GS-OV">MultiOmics_GS-OV</a></li>
|
| 116 |
+
</ul>
|
| 117 |
+
</div></body></html>
|