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import os |
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import json |
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import tiktoken |
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encoding = tiktoken.get_encoding("cl100k_base") |
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merged_md_file_path = "hermes-toth.txt" |
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merged_jsonl_file_path = "hermes-toth.json" |
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excluded = (merged_md_file_path, "README.md") |
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def merge_to_md(): |
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""" |
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Merges all .md files in the current directory into a single md file. |
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""" |
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with open(merged_md_file_path, "w") as merged_file: |
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first_file = True |
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for root, _, files in os.walk("."): |
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for file in files: |
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if file.endswith(".md") and file not in excluded: |
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print(f"Merging file: {file} into {merged_md_file_path}") |
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file_path = os.path.join(root, file) |
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with open(file_path, "r", encoding="utf-8") as f: |
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contents = f.read() |
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if not first_file: |
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merged_file.write("\n\n\n") |
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merged_file.write(contents) |
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first_file = False |
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def merge_to_jsonl(): |
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""" |
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Merges all .md files in the current directory into a single jsonl file. |
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""" |
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with open(merged_jsonl_file_path, "w") as merged_file: |
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first_file = True |
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for root, _, files in os.walk("."): |
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for file in files: |
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if file.endswith(".md") and file not in excluded: |
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print(f"Merging file: {file} into {merged_jsonl_file_path}") |
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file_path = os.path.join(root, file) |
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with open(file_path, "r", encoding="utf-8") as f: |
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contents = f.read() |
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if not first_file: |
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merged_file.write("\n") |
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data = {"text": contents} |
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json.dump(data, merged_file, ensure_ascii=False) |
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first_file = False |
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def token_count(): |
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""" |
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Counts the number of tokens in the merged dataset. |
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""" |
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with open(merged_md_file_path, "r", encoding="utf-8") as merged_file: |
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tokenized = encoding.encode(merged_file.read()) |
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print(f"Merged dataset has: {len(tokenized)} tokens.") |
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if __name__ == "__main__": |
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merge_to_md() |
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merge_to_jsonl() |
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token_count() |
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