Auto-sync: 2026-06-25 23:02:08 (part 2)
Browse files- scripts/merge_task_datasets.py +143 -0
scripts/merge_task_datasets.py
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| 1 |
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#!/usr/bin/env python3
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"""
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Merge multiple task-specific h=16 datasets into single training-ready dataset.
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Creates unified manifest and symlinks to shards.
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"""
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import json
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import shutil
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from pathlib import Path
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import argparse
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def merge_datasets(task_dirs, output_dir):
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"""Merge multiple CIL datasets into one."""
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output_dir = Path(output_dir)
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output_dir.mkdir(parents=True, exist_ok=True)
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# Collect all manifests
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all_groups = []
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all_group_index = []
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all_record_index = []
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total_records = 0
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shard_counter = 0
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for task_dir in task_dirs:
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task_path = Path(task_dir)
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manifest_path = task_path / "manifest.json"
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if not manifest_path.exists():
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print(f"⚠️ Skipping {task_path.name} (no manifest)")
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continue
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print(f"Processing {task_path.name}...")
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manifest = json.loads(manifest_path.read_text())
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# Copy shard files (rename to .jsonl for compatibility)
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for shard_info in manifest.get("shards", []):
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shard_file = task_path / shard_info["path"]
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if shard_file.exists():
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dest = output_dir / f"shard_{shard_counter:04d}.jsonl"
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shutil.copy2(shard_file, dest)
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shard_counter += 1
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# Fallback: glob for .shard files if shards key missing
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if not manifest.get("shards"):
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for shard_file in task_path.glob("*.shard"):
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dest = output_dir / f"shard_{shard_counter:04d}.jsonl"
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shutil.copy2(shard_file, dest)
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shard_counter += 1
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# Read and merge group index
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group_index_path = task_path / manifest.get("group_index_path", "group_index.jsonl")
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if group_index_path.exists():
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with open(group_index_path) as f:
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for line in f:
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if line.strip():
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entry = json.loads(line)
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all_groups.append(entry["group_id"])
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all_group_index.append(entry)
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# Read and merge record index
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record_index_path = task_path / manifest.get("record_index_path", "record_index.jsonl")
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if record_index_path.exists():
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with open(record_index_path) as f:
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for line in f:
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if line.strip():
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all_record_index.append(json.loads(line))
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# Accumulate metadata
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total_records += manifest["record_count"]
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print(f" ✅ {manifest['group_count']} groups, {manifest['record_count']} records")
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# Write merged indexes
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group_index_out = output_dir / "group_index.jsonl"
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with open(group_index_out, 'w') as f:
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for entry in all_group_index:
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f.write(json.dumps(entry) + '\n')
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record_index_out = output_dir / "record_index.jsonl"
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with open(record_index_out, 'w') as f:
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for entry in all_record_index:
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f.write(json.dumps(entry) + '\n')
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# Create unified manifest
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shard_list = [{"path": f"shard_{i:04d}.jsonl"} for i in range(shard_counter)]
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merged_manifest = {
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"backend": "maniskill",
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"created_at": Path(task_dirs[0]).joinpath("manifest.json").stat().st_mtime if task_dirs else 0,
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"dataset_name": "cil_h16_merged",
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"format": "dovla_cil",
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"group_count": len(all_groups),
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"group_index_path": "group_index.jsonl",
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"index_format": "jsonl",
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"k": 16,
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"num_groups": len(all_groups),
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"num_records": total_records,
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"record_count": total_records,
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"record_index_path": "record_index.jsonl",
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"schema_version": "0.1",
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"shard_count": shard_counter,
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"shard_format": "jsonl",
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"shards": shard_list,
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"horizon": 16,
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"tasks": [Path(d).name for d in task_dirs if (Path(d) / "manifest.json").exists()]
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}
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manifest_out = output_dir / "manifest.json"
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manifest_out.write_text(json.dumps(merged_manifest, indent=2))
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print("\n" + "="*60)
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print(f"✅ Merged dataset created: {output_dir}")
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print(f" Total groups: {merged_manifest['group_count']}")
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print(f" Total records: {merged_manifest['record_count']}")
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print(f" Shards: {merged_manifest['shard_count']}")
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print(f" Tasks: {', '.join(merged_manifest['tasks'])}")
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print("="*60)
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return merged_manifest
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def main():
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parser = argparse.ArgumentParser()
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| 122 |
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parser.add_argument("--input", required=True, help="Parent dir containing task subdirs")
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parser.add_argument("--output", required=True, help="Output merged dataset dir")
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args = parser.parse_args()
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input_path = Path(args.input)
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task_dirs = [d for d in input_path.iterdir() if d.is_dir() and (d / "manifest.json").exists()]
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| 128 |
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if not task_dirs:
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print(f"❌ No valid task directories found in {input_path}")
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return 1
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print(f"Found {len(task_dirs)} tasks to merge:")
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for d in task_dirs:
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print(f" - {d.name}")
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print()
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| 137 |
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merge_datasets(task_dirs, args.output)
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return 0
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if __name__ == "__main__":
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import sys
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| 143 |
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sys.exit(main())
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