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EVMars-Anomaly-v2

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 4 new columns ({'pm10', 'illuminance (Lux)', 'tsp', 'pm2.5'}) and 4 missing columns ({'color', 'polarity', 'y', 'x'}).

This happened while the csv dataset builder was generating data using

zip://global/global dust strom1/seq49_gt.csv::/tmp/hf-datasets-cache/medium/datasets/63228869847347-config-parquet-and-info-Miniecho-EVMars-Anomaly-v-1b6acb1f/hub/datasets--Miniecho--EVMars-Anomaly-v2/snapshots/c018b80abdc56946eb265d91c530819034f81e24/EVMars-Anomaly-v2.zip

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              timestamp: int64
              illuminance (Lux): double
              tsp: double
              pm2.5: double
              pm10: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 838
              to
              {'timestamp': Value('int64'), 'x': Value('int64'), 'y': Value('int64'), 'polarity': Value('int64'), 'color': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1339, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 4 new columns ({'pm10', 'illuminance (Lux)', 'tsp', 'pm2.5'}) and 4 missing columns ({'color', 'polarity', 'y', 'x'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://global/global dust strom1/seq49_gt.csv::/tmp/hf-datasets-cache/medium/datasets/63228869847347-config-parquet-and-info-Miniecho-EVMars-Anomaly-v-1b6acb1f/hub/datasets--Miniecho--EVMars-Anomaly-v2/snapshots/c018b80abdc56946eb265d91c530819034f81e24/EVMars-Anomaly-v2.zip
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

timestamp
int64
x
int64
y
int64
polarity
int64
color
string
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End of preview.

EVMars-Anomaly-v2: A Multimodal Color Event Dataset for Martian Anomaly Detection and Dust Storm Estimation

EVMars-Anomaly-v2, an updated and expanded version of the original EVMars-Anomaly dataset (a specialized subset of EVMars), remains a multimodal dataset dedicated to anomaly detection in simulated Martian dust storm scenarios using a color event camera. This version introduces significant enhancements to address sensing challenges in extremely low-visibility environments, thereby supporting more reliable particulate matter estimation and anomaly detection under severe dust storm conditions.

The dataset consists of 68 sequences captured with a DAVIS346 color event camera(346×260 resolution, 1 µs temporal precision) in a outdoor data collection test field. High-power industrial fans simulate three canonical dust storm intensities:

  • Local Dust Storm: Mild particle suspension
  • Regional Dust Storm: Moderate occlusion
  • Global Dust Storm: Extreme low-visibility

The data format is as follows:

Event Streams: Stored as CSV files with the following columns: timestamp (microseconds), x (pixel column, 0–345), y (pixel row, 0–259), polarity (±1), color (RED/GREEN/BLUE). Each file corresponds to one continuous sequence.

Ground Truth: Provided in a separate synchronized CSV per sequence: timestamp (ms), TSP (µg/m³), PM2.5 (µg/m³), PM10 (µg/m³)

Key Updates in v2 (Released January 2026)

  • Added numerous new sequences with substantially higher dust concentrations, enabling better modeling and evaluation of performance in extreme dust storm environments.
  • Expanded the total number of event data points to approximately 680 million, providing richer temporal and spatial event distributions.
  • Introduced standardized dataset splits divided into three dust storm intensity intervals: global (planet-encircling storms with highest dust loading), regional (large-scale but localized storms), and local (smaller, confined dust events). This partitioning facilitates consistent benchmarking and analysis across varying severity levels.

Historical Version

EVMars-Anomaly-v1: The original release containing sequences covering a baseline range of dust conditions and approximately 150 million event data points.Available at: Hugging Face Dataset v1

License

This repository is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
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