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import pandas as pd |
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from datasets import Dataset |
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from collections import defaultdict |
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import textwrap |
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def chunk_examples(txt_list): |
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chunks = [] |
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for sentence in txt_list: |
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chunks += textwrap.wrap(sentence, width=1000) |
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return chunks |
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txt = open('HebrewStageAndLyrics_clean.txt').read() |
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parsed = txt.split("\n\n") |
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df = pd.DataFrame(parsed) |
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parsed_lines = df[0].values.tolist() |
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data = defaultdict(list) |
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chunked_lines = chunk_examples(parsed_lines) |
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for line in chunked_lines: |
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sc_line = line.replace(";", ",").replace("\n", " ; ") |
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data['text'].append(sc_line) |
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dataset = Dataset.from_dict(data).shuffle(seed=42) |
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dataset = dataset.train_test_split(test_size=0.05) |
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print(dataset) |
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print(dataset.column_names) |
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for i in range(20, 22, 1): |
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print(dataset['train'][i]) |
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print(dataset['test'][i]) |
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dataset.push_to_hub("Norod78/HebrewStageAndLyricsWithNewLines") |
