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- .debug/fix_converting.py +41 -0
- .debug/test.py +74 -0
- README.md +17 -0
- data/chunk-000/episode_000000.parquet +3 -0
- data/chunk-000/episode_000001.parquet +3 -0
- data/chunk-000/episode_000002.parquet +3 -0
- data/chunk-000/episode_000003.parquet +3 -0
- data/chunk-000/episode_000004.parquet +3 -0
- data/chunk-000/episode_000005.parquet +3 -0
- data/chunk-000/episode_000006.parquet +3 -0
- data/chunk-000/episode_000007.parquet +3 -0
- data/chunk-000/episode_000008.parquet +3 -0
- data/chunk-000/episode_000009.parquet +3 -0
- data/chunk-000/episode_000010.parquet +3 -0
- data/chunk-000/episode_000011.parquet +3 -0
- data/chunk-000/episode_000012.parquet +3 -0
- data/chunk-000/episode_000013.parquet +3 -0
- data/chunk-000/episode_000014.parquet +3 -0
- data/chunk-000/episode_000015.parquet +3 -0
- data/chunk-000/episode_000016.parquet +3 -0
- data/chunk-000/episode_000017.parquet +3 -0
- data/chunk-000/episode_000018.parquet +3 -0
- data/chunk-000/episode_000019.parquet +3 -0
- data/chunk-000/episode_000020.parquet +3 -0
- data/chunk-000/episode_000021.parquet +3 -0
- data/chunk-000/episode_000022.parquet +3 -0
- data/chunk-000/episode_000023.parquet +3 -0
- data/chunk-000/episode_000024.parquet +3 -0
- data/chunk-000/episode_000025.parquet +3 -0
- data/chunk-000/episode_000026.parquet +3 -0
- data/chunk-000/episode_000027.parquet +3 -0
- data/chunk-000/episode_000028.parquet +3 -0
- data/chunk-000/episode_000029.parquet +3 -0
- data/chunk-000/episode_000030.parquet +3 -0
- data/chunk-000/episode_000031.parquet +3 -0
- data/chunk-000/episode_000032.parquet +3 -0
- data/chunk-000/episode_000033.parquet +3 -0
- data/chunk-000/episode_000034.parquet +3 -0
- data/chunk-000/episode_000035.parquet +3 -0
- data/chunk-000/episode_000036.parquet +3 -0
- data/chunk-000/episode_000037.parquet +3 -0
- data/chunk-000/episode_000038.parquet +3 -0
- data/chunk-000/episode_000039.parquet +3 -0
- data/chunk-000/episode_000040.parquet +3 -0
- data/chunk-000/episode_000041.parquet +3 -0
- data/chunk-000/episode_000042.parquet +3 -0
- data/chunk-000/episode_000043.parquet +3 -0
- data/chunk-000/episode_000044.parquet +3 -0
- data/chunk-000/episode_000045.parquet +3 -0
- data/chunk-000/episode_000046.parquet +3 -0
.debug/fix_converting.py
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import json
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import numpy as np
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import copy
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# Load stats file
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stats_file = "../meta/stats.json"
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with open(stats_file, 'r') as f:
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stats = json.load(f)
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print("Fixing stats.json file...")
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# Create a deep copy to modify
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fixed_stats = copy.deepcopy(stats)
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# Fix all None std values
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for key in fixed_stats:
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if "std" in fixed_stats[key] and fixed_stats[key]["std"] is None:
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# Use matching shape from mean if possible
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if "mean" in fixed_stats[key]:
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mean = fixed_stats[key]["mean"]
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if isinstance(mean, list):
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# Create a ones array with same shape as mean
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fixed_stats[key]["std"] = [1.0] * len(mean)
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else:
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# Fallback to scalar
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fixed_stats[key]["std"] = [1.0]
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else:
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# No mean to reference, use default
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fixed_stats[key]["std"] = [1.0]
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print(f"Fixed {key}.std: None → {fixed_stats[key]['std']}")
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# Save the fixed stats file
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output_file = "../meta/stats_fixed.json"
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with open(output_file, 'w') as f:
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json.dump(fixed_stats, f, indent=2)
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print(f"\nFIXED! New stats file saved to: {output_file}")
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print("\nTo use this fixed file:")
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print("1. Rename the original file as a backup: mv ../meta/stats.json ../meta/stats.json.bak")
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print("2. Replace with fixed version: mv ../meta/stats_fixed.json ../meta/stats.json")
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.debug/test.py
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import numpy as np
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import json
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import torch
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# Load stats file
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stats_file = "../meta/stats.json"
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with open(stats_file, 'r') as f:
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stats = json.load(f)
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print("Keys in stats file:", list(stats.keys()))
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# Check each field more thoroughly by simulating the torch conversion
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problem_found = False
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for key in stats:
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print(f"\nExamining key: {key}")
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for stat_type in ["mean", "std"]:
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if stat_type in stats[key]:
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value = stats[key][stat_type]
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print(f" - {stat_type} type: {type(value)}")
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try:
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# Try converting to numpy array (this is what the code does)
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numpy_val = np.array(value)
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print(f" NumPy array shape: {numpy_val.shape}, dtype: {numpy_val.dtype}")
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# Test if this can be converted to torch tensor
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try:
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torch_val = torch.from_numpy(numpy_val).to(dtype=torch.float32)
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print(f" ✓ Successfully converted to torch tensor")
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except Exception as e:
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print(f" ✗ ERROR converting to torch tensor: {type(e).__name__}: {e}")
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print(f" Value: {numpy_val}")
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problem_found = True
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except Exception as e:
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print(f" ✗ ERROR converting to NumPy array: {type(e).__name__}: {e}")
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print(f" Value: {value}")
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problem_found = True
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if not problem_found:
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print("\nNo problems found in the stats file. The error might be happening in another part of the code.")
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print("Try fixing the stats file with a preprocessing step:")
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# Create a fixed stats file
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fixed_stats = {}
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for key in stats:
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fixed_stats[key] = {}
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for field, value in stats[key].items():
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if field in ["mean", "std"]:
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# Try to safely convert to float array
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try:
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# First convert to numpy array
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arr = np.array(value)
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# If object type, replace with safe values
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if arr.dtype == np.dtype('O'):
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arr = np.ones_like(arr, dtype=np.float32)
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else:
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# Make sure it's float32
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arr = arr.astype(np.float32)
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# Convert back to list for JSON
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fixed_stats[key][field] = arr.tolist()
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except Exception as e:
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print(f"Fixing {key}.{field}: {e}")
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# Just use a safe default
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fixed_stats[key][field] = [1.0]
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else:
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# Keep other fields unchanged
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fixed_stats[key][field] = value
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# Save the fixed stats
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with open("../meta/stats_fixed.json", 'w') as f:
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json.dump(fixed_stats, f, indent=2)
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print("Created fixed stats file: ../meta/stats_fixed.json")
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print("You can replace the original stats.json with this file.")
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README.md
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---
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tags:
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- phosphobot
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- so100
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- phospho-dk1
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task_categories:
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- robotics
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---
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# enhanced_pick_up_socks_dataset
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**This dataset was generated using the [phospho cli](https://github.com/phospho-app/phosphobot)**
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More information on [robots.phospho.ai](https://robots.phospho.ai).
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This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
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data/chunk-000/episode_000000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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size 18030
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data/chunk-000/episode_000001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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size 18030
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data/chunk-000/episode_000002.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000003.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000004.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000005.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000006.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000007.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000008.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000009.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000010.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fcec3196c6ddc873575de53c5e218a95a088b57c4785aa76a8b4611af0f1736
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data/chunk-000/episode_000011.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a410a12d792d8c18414b611dcf48765b46eb619a04289dc7ee0f441937b13c92
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size 13706
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data/chunk-000/episode_000012.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a410a12d792d8c18414b611dcf48765b46eb619a04289dc7ee0f441937b13c92
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size 13706
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data/chunk-000/episode_000013.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a410a12d792d8c18414b611dcf48765b46eb619a04289dc7ee0f441937b13c92
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size 13706
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data/chunk-000/episode_000014.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a410a12d792d8c18414b611dcf48765b46eb619a04289dc7ee0f441937b13c92
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data/chunk-000/episode_000015.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a410a12d792d8c18414b611dcf48765b46eb619a04289dc7ee0f441937b13c92
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size 13706
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data/chunk-000/episode_000016.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a410a12d792d8c18414b611dcf48765b46eb619a04289dc7ee0f441937b13c92
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size 13706
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