| AgroNT Evaluation Task: | |
| - chromatin_access_MH63_agront | |
| - chromatin_access_ZS97_agront | |
| - poly_a_japonica_agront | |
| - poly_a_indica_agront | |
| - bulk_gene_exp_agront | |
| Short-sequence Task: | |
| - chromatin_access_512 | |
| - Epigenetic_Marks_Prediction-Histone | |
| - smallRNA | |
| - splice_sites_labels | |
| - RiceVar_512 | |
| - enhancer_strength | |
| Long-sequence Task: | |
| - enhancer_regions | |
| - lncRNA | |
| - rice_nlr | |
| - RiceVar_6k | |
| - RiceVar_8k | |
| Single-nucleotide Task: | |
| - CDS_multilabel | |
| - bulk_single_base_Callus | |
| Sweep Region Identification Task: | |
| - sweep_region_psr | |
| - sweep_region_sor | |
| - sweep_region_8k | |
| - sweep_region_32k | |
| - sweep_region_100k | |
| Varieties Classification Task: | |
| - varieties_classification_8k | |
| - varieties_classification_32k | |
| - varieties_classification_128k | |
| dataset_feature: | |
| chromatin_access_MH63_agront: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: labels | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 100000 | |
| min_length: 1000 | |
| max_length: 1000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| chromatin_access_ZS97_agront: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: labels | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 100000 | |
| min_length: 1000 | |
| max_length: 1000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| poly_a_japonica_agront: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 140853 | |
| min_length: 400 | |
| max_length: 400 | |
| dataset_ratio: [0.86, 0.14] | |
| label_train_counter: [(0, 80414), (1, 40207)] | |
| label_test_counter: [(0, 13488), (1, 6744)] | |
| poly_a_indica_agront: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 114915 | |
| min_length: 400 | |
| max_length: 400 | |
| dataset_ratio: [0.85, 0.15] | |
| label_train_counter: [(0, 65426), (1, 32713)] | |
| label_test_counter: [(0, 11184), (1, 5592)] | |
| bulk_gene_exp_agront: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: regression | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 38648 | |
| min_length: 6000 | |
| max_length: 6000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| chromatin_access_512: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: labels | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 9991 | |
| min_length: 511 | |
| max_length: 511 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| Epigenetic_Marks_Prediction-Histone: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: labels | |
| data_split: ['train', 'test', 'eval'] | |
| sample_num: 100000 | |
| min_length: 708 | |
| max_length: 1024 | |
| dataset_ratio: [0.80, 0.10, 0.10] | |
| smallRNA: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test', 'eval'] | |
| sample_num: 189654 | |
| min_length: 16 | |
| max_length: 366 | |
| dataset_ratio: [0.80, 0.10, 0.10] | |
| label_train_counter: [(0, 79942), (1, 71780)] | |
| label_test_counter: [(0, 10085), (1, 8880)] | |
| label_eval_counter: [(0, 9973), (1, 8993)] | |
| splice_sites_labels: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test', 'eval'] | |
| sample_num: 100000 | |
| min_length: 399 | |
| max_length: 399 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| label_train_counter: [(0, 72720), (1, 13788), (2, 13492)] | |
| label_test_counter: [(0, 6652), (1, 1728), (2, 1620)] | |
| label_eval_counter: [(0, 6603), (1, 1727), (2, 1670)] | |
| RiceVar_512: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 14979 | |
| min_length: 512 | |
| max_length: 512 | |
| dataset_ratio: [0.90, 0.10] | |
| label_train_counter: [(0, 11667), (1, 1813)] | |
| label_test_counter: [(0, 1312), (1, 187)] | |
| enhancer_strength: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: regression | |
| data_split: ['train', 'test', 'eval'] | |
| sample_num: 12539 | |
| min_length: 700 | |
| max_length: 700 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| enhancer_regions: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 10822 | |
| min_length: 367 | |
| max_length: 5803 | |
| dataset_ratio: [0.71, 0.29] | |
| label_train_counter: [(0, 3833), (1, 3833)] | |
| label_test_counter: [(0, 1578), (1, 1578)] | |
| lncRNA: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test', 'eval'] | |
| sample_num: 3238 | |
| min_length: 201 | |
| max_length: 6000 | |
| dataset_ratio: [0.80, 0.10, 0.10] | |
| label_train_counter: [(0, 1643), (1, 947)] | |
| label_test_counter: [(0, 201), (1, 124)] | |
| label_eval_counter: [(0, 208), (1, 115)] | |
| rice_nlr: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 22114 | |
| min_length: 156 | |
| max_length: 6000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| label_train_counter: [(0, 12974), (1, 4717)] | |
| label_test_counter: [(0, 1630), (1, 582)] | |
| label_eval_counter: [(0, 1616), (1, 595)] | |
| RiceVar_6k: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 19979 | |
| min_length: 6000 | |
| max_length: 6000 | |
| dataset_ratio: [0.90, 0.10] | |
| label_train_counter: [(0, 16209), (1, 1773)] | |
| label_test_counter: [(0, 1773), (1, 224)] | |
| RiceVar_8k: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 14955 | |
| min_length: 8192 | |
| max_length: 8192 | |
| dataset_ratio: [0.90, 0.10] | |
| label_train_counter: [(0, 11658), (1, 1777)] | |
| label_test_counter: [(0, 1300), (1, 220)] | |
| CDS_multilabel: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: labels | |
| data_split: ['train', 'test'] | |
| sample_num: 40396 | |
| min_length: 512 | |
| max_length: 512 | |
| dataset_ratio: [0.62, 0.38] | |
| bulk_single_base_Callus: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: regression | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 123989 | |
| min_length: 6000 | |
| max_length: 6000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| sweep_region_psr: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test', 'eval'] | |
| sample_num: 57836 | |
| min_length: 6000 | |
| max_length: 6000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| label_train_counter: [(0, 30776), (1, 15492)] | |
| label_test_counter: [(0, 3920), (1, 1865)] | |
| label_eval_counter: [(0, 3858), (1, 1925)] | |
| sweep_region_sor: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test', 'eval'] | |
| sample_num: 48620 | |
| min_length: 6000 | |
| max_length: 6000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| label_train_counter: [(0, 25892), (1, 13004)] | |
| label_test_counter: [(0, 3271), (1, 1591)] | |
| label_eval_counter: [(0, 3249), (1, 1613)] | |
| sweep_region_8k: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 21579 | |
| min_length: 8000 | |
| max_length: 8000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| label_train_counter: [(0, 11498), (1, 5765)] | |
| label_test_counter: [(0, 1413), (1, 744)] | |
| label_eval_counter: [(0, 1475), (1, 684)] | |
| sweep_region_32k: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 9840 | |
| min_length: 32000 | |
| max_length: 32000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| label_train_counter: [(0, 5262), (1, 2610)] | |
| label_test_counter: [(0, 656), (1, 328)] | |
| label_eval_counter: [(0, 642), (1, 342)] | |
| sweep_region_100k: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: classification | |
| data_split: ['train', 'test'] | |
| sample_num: 7200 | |
| min_length: 100000 | |
| max_length: 100000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| label_train_counter: [(0, 3859), (1, 1901)] | |
| label_test_counter: [(0, 472), (1, 248)] | |
| label_eval_counter: [(0, 469), (1, 251)] | |
| varieties_classification_8k: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: labels | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 300013 | |
| min_length: 8000 | |
| max_length: 8000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| varieties_classification_32k: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: labels | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 149906 | |
| min_length: 32000 | |
| max_length: 32000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |
| varieties_classification_128k: | |
| seq_for_item: 1 | |
| seq_key: sequence | |
| label_key: label | |
| eval_task: labels | |
| data_split: ['train', 'test','eval'] | |
| sample_num: 149474 | |
| min_length: 128000 | |
| max_length: 128000 | |
| dataset_ratio: [0.8, 0.1, 0.1] | |