sampleshard 0.1.0

SampleShard - Training sample storage format

SampleShard Python

Python implementation of the SampleShard format for storing training samples.

Installation

pip install sampleshard

# With optional compression support
pip install sampleshard[compression]

# With optional xxhash support (faster hashing)
pip install sampleshard[hash]

# All optional dependencies
pip install sampleshard[all]

Quick Start

from sampleshard import SampleShardWriter, SampleShardReader

# Writing samples
with SampleShardWriter("train.smpl") as w:
    w.add_sample(1, {"input": [1, 2, 3], "label": 0})
    w.add_sample(2, {"input": [4, 5, 6], "label": 1})
    w.add_sample(3, {"input": [7, 8, 9], "label": 2})

# Reading samples
with SampleShardReader("train.smpl") as r:
    # Get sample count
    print(f"Total samples: {r.sample_count()}")
    
    # Random access by ID
    sample = r.get_sample(1)
    print(sample)  # {"input": [1, 2, 3], "label": 0}
    
    # Check if sample exists
    if r.has_sample(2):
        print("Sample 2 exists!")
    
    # Iterate all samples
    for sample_id, sample in r:
        print(f"Sample {sample_id}: {sample}")
    
    # Batch access
    batch = r.get_batch([1, 2, 3])
    range_batch = r.get_batch_by_range(0, 10)

Features

• Fast random access by sample ID (O(1) lookup)
• Deterministic iteration order
• Metadata-safe: Reserved entries (starting with __) excluded from sample counts
• Memory-mapped access for zero-copy reads
• Optional compression (zstd, lz4)
• CRC32C checksums for data integrity

File Format

SampleShard uses the .smpl extension and the Shard v2 binary format:

• 64-byte header with magic bytes SHRD
• Role byte = 0x02 (Sample)
• 48-byte index entries with xxHash64 name hashes
• JSON-encoded sample data
• CRC32C checksums per entry

Interoperability

SampleShard files created with Python can be read by:

• Go: agentscope/cowrie/ucodec.OpenSampleShard()
• TypeScript: @sampleshard/core

License

MIT