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dd6cefc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 | """Upload a curated Objectverse Diary SFT JSONL file to Hugging Face Datasets."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Any
def validate_dataset_file(dataset_file: Path) -> dict[str, object]:
if not dataset_file.exists() or not dataset_file.is_file():
raise FileNotFoundError(f"Dataset file does not exist: {dataset_file}")
record_count = 0
sources: set[str] = set()
modes: set[str] = set()
object_names: set[str] = set()
for line_number, line in enumerate(
dataset_file.read_text(encoding="utf-8").splitlines(),
start=1,
):
if not line.strip():
continue
try:
record = json.loads(line)
except json.JSONDecodeError as exc:
raise ValueError(f"Invalid JSON on line {line_number}: {exc.msg}") from exc
if not isinstance(record, dict):
raise ValueError(f"Line {line_number} must be a JSON object.")
messages = record.get("messages")
if not isinstance(messages, list) or not messages:
raise ValueError(f"Line {line_number} must include a non-empty messages list.")
assistant_messages = [
message
for message in messages
if isinstance(message, dict) and message.get("role") == "assistant"
]
if not assistant_messages:
raise ValueError(f"Line {line_number} must include an assistant message.")
assistant_content = assistant_messages[-1].get("content")
if not isinstance(assistant_content, str):
raise ValueError(f"Line {line_number} assistant content must be a string.")
try:
assistant_payload = json.loads(assistant_content)
except json.JSONDecodeError as exc:
raise ValueError(
f"Line {line_number} assistant content is not valid JSON: {exc.msg}"
) from exc
if not isinstance(assistant_payload, dict):
raise ValueError(f"Line {line_number} assistant content must be a JSON object.")
if "persona" not in assistant_payload or "diary" not in assistant_payload:
raise ValueError(
f"Line {line_number} assistant content must include persona and diary."
)
record_count += 1
if isinstance(record.get("source"), str):
sources.add(str(record["source"]))
if isinstance(record.get("mode"), str):
modes.add(str(record["mode"]))
object_understanding = record.get("object_understanding")
if isinstance(object_understanding, dict):
raw_object = object_understanding.get("object")
if isinstance(raw_object, dict) and isinstance(raw_object.get("name"), str):
object_names.add(str(raw_object["name"]))
if record_count == 0:
raise ValueError(f"Dataset file has no records: {dataset_file}")
return {
"dataset_file": str(dataset_file),
"record_count": record_count,
"sources": sorted(sources),
"modes": sorted(modes),
"unique_object_count": len(object_names),
}
def upload_dataset(
*,
dataset_file: Path,
repo_id: str,
path_in_repo: str,
private: bool,
commit_message: str,
dry_run: bool,
) -> dict[str, object]:
summary = validate_dataset_file(dataset_file)
summary.update(
{
"repo_id": repo_id,
"path_in_repo": path_in_repo,
"private": private,
"commit_message": commit_message,
"dry_run": dry_run,
}
)
if dry_run:
summary["uploaded"] = False
return summary
from huggingface_hub import HfApi
api = HfApi()
api.create_repo(repo_id=repo_id, repo_type="dataset", private=private, exist_ok=True)
api.upload_file(
path_or_fileobj=str(dataset_file),
path_in_repo=path_in_repo,
repo_id=repo_id,
repo_type="dataset",
commit_message=commit_message,
)
summary["uploaded"] = True
summary["url"] = f"https://huggingface.co/datasets/{repo_id}"
return summary
def _print_json(payload: dict[str, Any]) -> None:
print(json.dumps(payload, indent=2, sort_keys=True), flush=True)
def _parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--dataset-file", type=Path, required=True)
parser.add_argument("--repo-id", required=True)
parser.add_argument("--path-in-repo", required=True)
parser.add_argument("--private", action="store_true")
parser.add_argument(
"--commit-message",
default="Upload Objectverse Diary curated SFT dataset",
)
parser.add_argument("--dry-run", action="store_true")
return parser.parse_args()
def main() -> None:
args = _parse_args()
_print_json(
upload_dataset(
dataset_file=args.dataset_file,
repo_id=args.repo_id,
path_in_repo=args.path_in_repo,
private=args.private,
commit_message=args.commit_message,
dry_run=args.dry_run,
)
)
if __name__ == "__main__":
try:
main()
except Exception as exc:
raise SystemExit(str(exc)) from exc
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