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+ ---
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+ license: apache-2.0
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+ ---
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+
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+ ## Dataset Overview
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+
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+ The dataset consists of five tasks for cross-species modeling plant genomes at single-nucleotide resolution in plants. These tasks are:
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+
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+ 1. **Translation Initiation Site (TIS) Prediction**
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+ 2. **Translation Termination Site (TTS) Prediction**
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+ 3. **Splice Donor Site Prediction**
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+ 4. **Splice Acceptor Site Prediction**
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+ 5. **Evolutionary Conservation Prediction**
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+
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+ ### Tasks 1-4: Site Predictions
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+ - **Training Dataset**: Generated from Arabidopsis chromosomes 1-4
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+ - **Validation Dataset**: Generated from Arabidopsis chromosome 5
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+ - **Testing Datasets**: Compiled from rice, sorghum, and maize
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+
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+ ### Task 5: Evolutionary Conservation Prediction
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+ - **Training Dataset**: Generated from sorghum chromosomes 1-9
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+ - **Validation Dataset**: Generated from sorghum chromosome 10
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+ - **Testing Datasets**: Compiled in maize
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+
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+ This datasets facilitate robust cross-species nucleotide annotation.
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+
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+ ## Dataset sizes
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+
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+ #### TIS, TTS, Donor, Acceptor
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+ | | TIS | TTS | Donor | Acceptor |
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+ |-------------------------|------------------------------|------------------------------|-------------------------------|-------------------------------|
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+ | | # of positives | # of negative | # of positives | # of negative | # of positives | # of negative | # of positives | # of negative |
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+ | Training on Arabidopsis chromosome 1-4 | 24,711 | 173,880 | 25,112 | 220,452 | 96,752 | 483,268 | 97,224 | 536,179 |
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+ | Validation on Arabidopsis chromosome 5 | 7,311 | 50,514 | 7,461 | 64,365 | 29,377 | 140,536 | 29,567 | 155,397 |
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+ | Rice test | 2,974 | 1,400,115 | 2,974 | 3,718,029 | 21,963 | 3,764,549 | 21,963 | 4,151,774 |
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+ | Sorghum test | 3,214 | 3,937,719 | 3,214 | 10,445,530 | 24,801 | 10,821,941 | 24,801 | 12,640,573 |
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+ | Maize test | 3,098 | 11,265,574 | 3,098 | 29,535,973 | 24,399 | 34,516,038 | 24,399 | 40,025,899 |
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+
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+ #### Evolutionary conservation
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+ | | # of positives | # of negative |
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+ |-------------|----------------|---------------|
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+ | Train | 429,043 | 429,043 |
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+ | Validation | 19,030 | 19,030 |
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+ | Test | 947,769 | 976,230 |
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+
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+ ## How to use
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+ ```
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+ from datasets import load_dataset
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+ import pandas as pd
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+ repo_id = 'kuleshov-group/cross-species-single-nucleotide-annotation'
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+ tis = load_dataset(repo_id, data_files={'train': 'TIS/train.tsv', 'valid': 'TIS/valid.tsv', 'test_rice':'TIS/test_rice.tsv', 'test_sorghum':'TIS/test_sorghum.tsv', 'test_maize':'TIS/test_maize.tsv'})
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+ tis_train = tis['train']
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+ # convert to pandas dataframe
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+ tis_train_df = tis_train.to_pandas()
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+ ```