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Datasets:
DLSCA
/
ascad-v2-1

Tags:
side-channel-analysis
cryptography
DLSCA
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'attributes' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 758, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 799, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'attributes' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1911, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in finalize
                  self._build_writer(self.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 799, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'attributes' with no child field to Parquet. Consider adding a dummy child field.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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shape
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data_type
string
chunk_grid
dict
chunk_key_encoding
dict
fill_value
int64
codecs
list
attributes
dict
zarr_format
int64
node_type
string
storage_transformers
list
[ 100000, 16 ]
uint8
{ "name": "regular", "configuration": { "chunk_shape": [ 50000, 8 ] } }
{ "name": "default", "configuration": { "separator": "/" } }
0
[ { "name": "bytes", "configuration": null }, { "name": "zstd", "configuration": { "level": 0, "checksum": true } } ]
{}
3
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{}
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[ { "name": "bytes", "configuration": null }, { "name": "zstd", "configuration": { "level": 0, "checksum": true } } ]
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ascad-v2-1

This script downloads, extracts, and uploads the optimized ASCAD v2 (1-100k traces) dataset to Hugging Face Hub.

Dataset Structure

This dataset is stored in Zarr format, optimized for chunked and compressed cloud storage.

Traces (/traces)

  • Shape: [100000, 1000000] (Traces x Time Samples)
  • Data Type: int8
  • Chunk Shape: [50000, 200]

Metadata (/metadata)

  • ciphertext: shape [100000, 16], dtype uint8
  • key: shape [100000, 16], dtype uint8
  • mask: shape [100000, 16], dtype uint8
  • mask_: shape [100000, 16], dtype uint8
  • plaintext: shape [100000, 16], dtype uint8
  • rin: shape [100000, 1], dtype uint8
  • rin_: shape [100000, 1], dtype uint8
  • rm: shape [100000, 1], dtype uint8
  • rm_: shape [100000, 1], dtype uint8
  • rout: shape [100000, 1], dtype uint8
  • rout_: shape [100000, 1], dtype uint8

Parameters Used for Generation

  • HF_ORG: DLSCA
  • CHUNK_SIZE_Y: 50000
  • CHUNK_SIZE_X: 200
  • TOTAL_CHUNKS_Y: 2
  • TOTAL_CHUNKS_X: 5000
  • NUM_JOBS: 10
  • LOCAL: True
  • CLOUD: False
  • COMPRESSED: True

Usage

You can load this dataset directly using Zarr and Hugging Face File System:

import zarr
from huggingface_hub import HfFileSystem

fs = HfFileSystem()

# Map only once to the dataset root
root = zarr.open_group(fs.get_mapper("datasets/DLSCA/ascad-v2-1"), mode="r")

# Access traces directly
traces = root["traces"]
print("Traces shape:", traces.shape)

# Access plaintext metadata directly
plaintext = root["metadata"]["plaintext"]
print("Plaintext shape:", plaintext.shape)
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