Upload create_dataset.py with huggingface_hub

create_dataset.py

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+"""
+This script processes all multiplication JSONL files in:
+    /weka/oe-adapt-default/nouhad/data/multiplication/
+
+Usage:
+    python scripts/data/rlvr/open_reasoner.py --push_to_hub
+    python scripts/data/rlvr/open_reasoner.py --push_to_hub --hf_entity ai2-adapt-dev
+"""
+
+from collections import defaultdict
+from dataclasses import dataclass
+import os
+import json
+from typing import Optional
+
+import datasets
+from huggingface_hub import HfApi
+from huggingface_hub.repocard import RepoCard
+from transformers import HfArgumentParser
+
+@dataclass
+class Args:
+    push_to_hub: bool = False
+    hf_entity: Optional[str] = None
+
+def process_file(file_path: str):
+    """
+    Processes a single JSONL file into a dataset.
+    """
+    print(f"Processing file: {file_path}")
+    
+    with open(file_path, "r") as f:
+        data = f.readlines()
+
+    new_data = []
+    for item in data:
+        item = item.strip()  # Remove extra spaces or newline characters
+        if not item:  # Skip empty lines
+            continue
+        new_data.append(json.loads(item))  # Convert JSON string to Python dict
+
+    table = defaultdict(list)
+    for item in new_data:
+        assert "problem" in item and "answer" in item, "Missing expected keys in data"
+        table["messages"].append([
+            {"role": "user", "content": item["problem"]},
+            {"role": "assistant", "content": item["answer"]},
+        ])
+        table["ground_truth"].append(item["answer"])
+        table["dataset"].append("multiplication")
+
+    return datasets.Dataset.from_dict(table)
+
+def main(args: Args):
+    data_dir = "/weka/oe-adapt-default/nouhad/data/multiplication/"
+    jsonl_files = [os.path.join(data_dir, f) for f in os.listdir(data_dir) if f.endswith(".jsonl")]
+
+    if not jsonl_files:
+        print(f"No JSONL files found in {data_dir}")
+        return
+
+    api = HfApi()
+    hf_entity = args.hf_entity if args.hf_entity else api.whoami()["name"]
+
+    for file_path in jsonl_files:
+        dataset = process_file(file_path)
+        dataset_name = os.path.basename(file_path).replace(".jsonl", "")
+
+        if args.push_to_hub:
+            repo_id = f"{hf_entity}/{dataset_name}"
+            print(f"Pushing dataset to Hub: {repo_id}")
+
+            dataset.push_to_hub(repo_id)
+            api.upload_file(
+                path_or_fileobj=__file__,
+                path_in_repo="create_dataset.py",
+                repo_type="dataset",
+                repo_id=repo_id,
+            )
+
+            # Add RepoCard
+            repo_card = RepoCard(
+                content=f"""\
+# Multiplication Dataset - {dataset_name}
+
+This dataset contains multiplication problems and their solutions.
+
+## Dataset Format
+
+- `messages`: List of message dictionaries with user questions and assistant answers
+- `ground_truth`: The correct solution for each problem
+- `dataset`: Always "multiplication" to indicate its type
+"""
+            )
+            repo_card.push_to_hub(
+                repo_id,
+                repo_type="dataset",
+            )
+
+if __name__ == "__main__":
+    parser = HfArgumentParser((Args,))
+    main(*parser.parse_args_into_dataclasses())