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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 1 new columns ({'# EEG-EMG LOSO Pipeline (Deliverable)'}) and 1 missing columns ({'# Documentation: EEG-EMG LOSO Pipeline'}).
This happened while the csv dataset builder was generating data using
zip://teamspace/studios/this_studio/deliverable/README.md::hf://datasets/rverma0631/deliverable-dataset@9d33f2c2b451c72ad961323d3508c245d50afd30/deliverable.zip, ['hf://datasets/rverma0631/deliverable-dataset@9d33f2c2b451c72ad961323d3508c245d50afd30/deliverable.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 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
# EEG-EMG LOSO Pipeline (Deliverable): string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 435
to
{'# Documentation: EEG-EMG LOSO Pipeline': 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 1343, 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 1646, 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 1802, 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 1 new columns ({'# EEG-EMG LOSO Pipeline (Deliverable)'}) and 1 missing columns ({'# Documentation: EEG-EMG LOSO Pipeline'}).
This happened while the csv dataset builder was generating data using
zip://teamspace/studios/this_studio/deliverable/README.md::hf://datasets/rverma0631/deliverable-dataset@9d33f2c2b451c72ad961323d3508c245d50afd30/deliverable.zip, ['hf://datasets/rverma0631/deliverable-dataset@9d33f2c2b451c72ad961323d3508c245d50afd30/deliverable.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.
# Documentation: EEG-EMG LOSO Pipeline string |
|---|
This document summarizes the pipeline architecture and reported results from the provided code in this deliverable. |
## Pipeline overview |
The pipeline runs in three stages: |
1) Preprocess raw EEG/EMG HDF5 data and build a LOSO split. |
2) Extract fixed-length epochs around go-cue events. |
3) Train and evaluate models (v4 Mamba model and baselines). |
## Architecture diagram |
```mermaid |
graph LR |
A[Raw EEG HDF5] --> B[Preprocess: robust norm + band envelopes] |
A2[Raw EMG HDF5] --> B2[Preprocess: robust norm] |
B --> C[Train/Test split (LOSO)] |
B2 --> C |
C --> D[Epoch extraction around go-cue] |
D --> E[EEG raw branch] |
D --> F[EEG band branch] |
E --> G[EEG embedding] |
F --> G |
G --> H[Backbone: BiMamba blocks + LocalMHA] |
H --> I[Head] |
I --> J[EMG regression output] |
``` |
## Model details (v4) |
- Inputs: raw EEG + EEG band envelopes |
- Embedding: dual-branch (raw EEG projection + band EEG conv) |
- Backbone: stacked BiMamba blocks with LocalMHA every N blocks |
- Head: depthwise temporal conv + linear projection for EMG regression |
## Results (from compare.txt) |
LOSO subject: sub-8, EMG regression |
Baseline comparison: |
| Architecture | Params | MSE | Corr (all) | Corr (pre) | Corr (post) | |
|---|---:|---:|---:|---:|---:| |
| LSTM | 936,236 | 0.7490 | 0.2288 | -0.0121 | 0.1670 | |
| BiLSTM | 862,508 | 0.6607 | 0.0114 | 0.0520 | 0.0008 | |
| GRU | 861,740 | 0.6112 | 0.3746 | 0.0196 | 0.2916 | |
| Transformer | 937,388 | 0.4324 | 0.5857 | 0.0260 | 0.5659 | |
Our architecture (v4): |
| Metric | Value | |
|---|---:| |
| MSE | 0.3857 | |
| Corr (all) | 0.6267 | |
| Corr (pre) | 0.0320 | |
| Corr (post) | 0.6071 | |
Per-channel correlation (v4): |
| Channel | Corr | |
|---|---:| |
| DeltPost | 0.7338 | |
| DeltAnt | 0.8234 | |
| PectMaj | 0.8072 | |
| TrapUp | 0.7829 | |
| TrapMid | 0.0886 | |
| TrapLow | 0.5513 | |
| BicBrach | 0.7405 | |
| TricLatH | 0.7076 | |
| TricLong | 0.3609 | |
| TricMedH | 0.5382 | |
| Infraspin | 0.7595 | |
## Reproducibility |
- Results above are from the included run log in new_codes/compare.txt. |
- Use the pinned uv.lock and Python 3.11/3.12 for consistent installs. |
- See README.md for full setup and execution steps. |
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