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import random |
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import glob |
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import os |
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import json |
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import argparse |
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from tqdm import tqdm |
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import umi_parse |
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import cornell_movie_dialogue_parse |
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import eratoho_parse |
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import valhalla_parse |
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import discord_parse |
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def compile_raw(): |
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print('-- Parsing Umineko Data --\n') |
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umi_parse.parse() |
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print('\n-- Parsing Cornell Movie Dialogue Data --\n') |
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cornell_movie_dialogue_parse.parse() |
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print('\n-- Parsing Eratoho Data --\n') |
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eratoho_parse.parse() |
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print('\n-- Parsing Valhalla Data --\n') |
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valhalla_parse.parse() |
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print('\n-- Parsing Discord Data --\n') |
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discord_parse.parse() |
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def compile_mtf_jax(): |
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files = glob.glob('data/*/*.txt') |
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with open('output.txt', 'w', encoding='utf-8') as f: |
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for file in tqdm(files): |
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with open(file, 'r', encoding='utf-8') as f2: |
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f.write(f2.read().replace('\n\n', '\n')) |
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f.write('\n') |
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lines = '' |
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with open('output.txt', 'r', encoding='utf-8') as f: |
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lines = f.read().replace('\n\n', '\n') |
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with open('output.txt', 'w', encoding='utf-8') as f: |
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f.write(lines) |
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def compile_gpt_neo(): |
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files = glob.glob('data/*/*.txt') |
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random.shuffle(files) |
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with open('output.jsonl', 'w', encoding='utf-8') as f: |
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for file in tqdm(files): |
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with open(file, 'r', encoding='utf-8') as f2: |
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f.write(json.dumps({'text': f2.read().replace('\n\n', '\n')})) |
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f.write('\n') |
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if __name__ == '__main__': |
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parser = argparse.ArgumentParser(description='Process raw data') |
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parser.add_argument('-d', '--dont_compile', action='store_true', help='dont compile raw data', default=False) |
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parser.add_argument('-m', '--mtf_jax', action='store_true', help='compile raw data into a single text file to be tokenized by the mtf jax repo') |
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parser.add_argument('-g', '--gpt_neo', action='store_true', help='compile raw data into a single json lines file') |
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args = parser.parse_args() |
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if not args.dont_compile: |
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compile_raw() |
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if args.mtf_jax: |
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compile_mtf_jax() |
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if args.gpt_neo: |
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compile_gpt_neo() |
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print('Done!') |
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