Uploaded dataset.

.gitattributes

@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,11 @@
+---
+license: mit
+task_categories:
+- text-generation
+language:
+- en
+size_categories:
+- 10K<n<100K
+---
+# 4chan
+This dataset is [lesserfield/4chan-datasets](https://huggingface.co/datasets/lesserfield/4chan-datasets) converted to a better format.

boards/a.json

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+size 32702059

boards/b.json

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+version https://git-lfs.github.com/spec/v1
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+size 13258810

boards/bant.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6e9950e6061272de947b61837e97d0e5506a3fa9660501f036a275354d58db31
+size 7206919

boards/biz.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5817fa6d8e08ea64622f09b936c37ed7a9798579cd417227de569a8962b207f6
+size 17485190

boards/ck.json

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boards/co.json

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+oid sha256:17a525f7b19ae9e82453a42c83e7f579d0a6fce94580257a4c8991e669b99fb7
+size 26061648

boards/diy.json

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+oid sha256:c96e3cb8de222451a27f2f2eed15ac206584ed5b5e9739acd76370e243c1078c
+size 4432034

boards/fit.json

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+size 17070863

boards/g.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c8c2564294dceb6871555544ad4508b5e601bba6f11a29dbdd7252c6f91af188
+size 41173302

boards/his.json

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+version https://git-lfs.github.com/spec/v1
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+size 14338382

boards/int.json

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boards/jp.json

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+size 12655890

boards/k.json

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boards/lit.json

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+size 15027449

boards/m.json

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+size 10306791

boards/mu.json

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+size 11128010

boards/out.json

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boards/r9k.json

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boards/sci.json

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boards/trash.json

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boards/v.json

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+size 67921235

boards/vg.json

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boards/vmg.json

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boards/vt.json

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condense.py

@@ -0,0 +1,70 @@
+import os
+import re
+import sys
+import json
+
+MESSAGE_SPLIT_PATTERN = re.compile(r"\n--- (?=\d+ *\n)")
+REPLY_ID_PATTERN = re.compile(r">>(\d+)")
+
+def main():
+    for folder in os.listdir():
+        if not os.path.isdir(folder) or folder.startswith("."):
+            continue
+        board_result = []
+        for file in os.listdir(folder):
+            if not file.endswith(".txt"):
+                continue
+            file = os.path.join(folder, file)
+            if not os.path.isfile(file):
+                continue
+            with open(file, "r", encoding="utf8") as f:
+                content = f.read()[5:]
+            content = MESSAGE_SPLIT_PATTERN.split(content)
+            result = []
+            orig_to_norm = {}
+            i = 1
+            for message in content:
+                message = message.strip()
+                if not message:
+                    continue
+                j = 0
+                message_content = ""
+                message_has_content = False
+                for line in message.split("\n"):
+                    line = line.strip()
+                    if j == 0:
+                        try:
+                            message_id = int(line)
+                        except Exception:
+                            raise RuntimeError(f"Failed to parse message ID for \"{line}\" in \"{file}\"!")
+                        orig_to_norm[message_id] = i
+                    else:
+                        replace_count = 0
+                        def replace_id(match):
+                            nonlocal replace_count
+                            replace_count += 1
+                            return f">>{orig_to_norm.get(int(match.group(1)), "unknown")}"
+                        line = REPLY_ID_PATTERN.sub(replace_id, line)
+                        if not message_has_content and replace_count == 0 and line.strip():
+                            message_has_content = True
+                        if j != 1:
+                            message_content += "\n"
+                        message_content += line
+                    j += 1
+                if j == 0:
+                    raise RuntimeError(f"This message \"{message}\" in \"{file}\" doesn't start with a message ID!")
+                if not message_has_content:
+                    orig_to_norm.pop(message_id)
+                    continue
+                result.append({"id": i, "content": message_content})
+                i += 1
+            board_result.append(result)
+        with open(f"{folder}.json", "w", encoding="utf8") as f:
+            json.dump(board_result, f, ensure_ascii=False)
+
+if __name__ == "__main__":
+    try:
+        main()
+    except KeyboardInterrupt:
+        print("\nScript interrupted by user, exiting...")
+        sys.exit(1)

merge.py

@@ -0,0 +1,52 @@
+import os
+import sys
+import json
+import tqdm
+import argparse
+import transformers
+
+def parse_args():
+    parser = argparse.ArgumentParser(description="Merge the boards into a single train set.")
+    parser.add_argument("-t", "--tokenizer-name-or-path", default="meta-llama/Llama-3.1-8B", help="The name or path for the tokenizer")
+    parser.add_argument("-l", "--limit", type=int, default=4096, help="Length limit in tokens for each post")
+    parser.add_argument("-i", "--id", default="<|start_header_id|>", help="Prefix token for message IDs")
+    parser.add_argument("-c", "--content", default="<|end_header_id|>", help="Prefix token for message contents")
+    return parser.parse_args()
+
+def main():
+    args = parse_args()
+    tokenizer = transformers.AutoTokenizer.from_pretrained(args.tokenizer_name_or_path, legacy=True)
+    if args.id not in tokenizer.vocab:
+        print(f"The message ID prefix token \"{args.id}\" is not a token in \"{args.tokenizer_name_or_path}\", it will work but it's better to be a token in the tokenizer.")
+    if args.content not in tokenizer.vocab:
+        print(f"The message content prefix token \"{args.content}\" is not a token in \"{args.tokenizer_name_or_path}\", it will work but it's better to be a token in the tokenizer.")
+    boards_dir = "boards"
+    with open("merged_strings_train.jsonl", "w", encoding="utf8") as output:
+        for board_path in tqdm.tqdm(os.listdir(boards_dir), desc="Boards"):
+            board_name, ext = os.path.splitext(board_path)
+            if ext != ".json":
+                continue
+            board_path = os.path.join(boards_dir, board_path)
+            if not os.path.isfile(board_path):
+                continue
+            with open(board_path, "r", encoding="utf8") as f:
+                board = json.load(f)
+            for post in tqdm.tqdm(board, desc="Posts"):
+                post_content = board_name
+                post_token_count = len(tokenizer.encode(post_content, add_special_tokens=False)) + 2 # Add 2 for the start of string and end of string tokens.
+                for message in post:
+                    formatted = f"{args.id}{message["id"]}{args.content}{message["content"]}"
+                    formatted_token_count = len(tokenizer.encode(formatted, add_special_tokens=False))
+                    post_token_count += formatted_token_count
+                    if post_token_count > args.limit:
+                        break
+                    post_content += formatted
+                json.dump({"input": "", "output": post_content}, output, ensure_ascii=False)
+                output.write("\n")
+
+if __name__ == "__main__":
+    try:
+        main()
+    except KeyboardInterrupt:
+        print("\nScript interrupted by user, exiting...")
+        sys.exit(1)

merged_strings_train.jsonl

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+size 361276051