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from datasets import concatenate_datasets, load_dataset, load_from_disk |
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import argparse |
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from tokenizers import Tokenizer, decoders, models, pre_tokenizers, processors, trainers |
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from transformers import GPT2TokenizerFast, AutoTokenizer |
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from datasets import config |
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from datasets import DatasetDict, Dataset |
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code_dataset_go= load_dataset('code_x_glue_ct_code_to_text','go',split='train', cache_dir='/sml2/atul/CENTRAL_CACHE')['code'] |
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code_dataset_java= load_dataset('code_x_glue_ct_code_to_text','java',split='train', cache_dir='/sml2/atul/CENTRAL_CACHE')['code'] |
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code_dataset_javascript= load_dataset('code_x_glue_ct_code_to_text','javascript',split='train', cache_dir='/sml2/atul/CENTRAL_CACHE')['code'] |
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code_dataset_php= load_dataset('code_x_glue_ct_code_to_text','php',split='train', cache_dir='/sml2/atul/CENTRAL_CACHE')['code'] |
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code_dataset_python= load_dataset('code_x_glue_ct_code_to_text','python',split='train', cache_dir='/sml2/atul/CENTRAL_CACHE')['code'] |
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code_dataset_ruby= load_dataset('code_x_glue_ct_code_to_text','ruby',split='train', cache_dir='/sml2/atul/CENTRAL_CACHE')['code'] |
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indic_datasets_hi= load_dataset('ai4bharat/sangraha', data_dir="verified/hin", cache_dir='/sml2/atul/CENTRAL_CACHE')['train']['type'][:1000000] |
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indic_datasets_bn= load_dataset('ai4bharat/sangraha', data_dir="verified/ben", cache_dir='/sml2/atul/CENTRAL_CACHE')['train']['type'][:1000000] |
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wikipedia_en = load_dataset("wikipedia", "20220301.en", cache_dir='/sml2/atul/CENTRAL_CACHE')['train']['text'][:1000000] |
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combined_train_set=code_dataset_go+code_dataset_java+code_dataset_javascript+code_dataset_php+code_dataset_python+code_dataset_ruby+indic_datasets_hi + indic_datasets_bn + wikipedia_en |
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data = { |
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"train":{"text": combined_train_set}, |
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"validation": {"text": []}, |
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"test": {"text": []}, |
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} |
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custom_dataset = DatasetDict() |
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for split in data: |
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custom_dataset[split] = Dataset.from_dict(data[split]) |
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print(custom_dataset) |
