feat: add per-channel Parquet files for Hugging Face dataset viewer

Convert 82 .npy channel files to Parquet format with per-channel configs
so the HF dataset viewer can display data with a channel selector dropdown.
Original .npy files are preserved under data/data/.

README.md

@@ -13,6 +13,500 @@ tags:
 pretty_name: "NASA SMAP and MSL Spacecraft Anomaly Detection Dataset"
 size_categories:
   - 100K<n<1M
+configs:
+  - config_name: "A-1"
+    data_files:
+      - split: train
+        path: "data/train/A-1.parquet"
+      - split: test
+        path: "data/test/A-1.parquet"
+  - config_name: "A-2"
+    data_files:
+      - split: train
+        path: "data/train/A-2.parquet"
+      - split: test
+        path: "data/test/A-2.parquet"
+  - config_name: "A-3"
+    data_files:
+      - split: train
+        path: "data/train/A-3.parquet"
+      - split: test
+        path: "data/test/A-3.parquet"
+  - config_name: "A-4"
+    data_files:
+      - split: train
+        path: "data/train/A-4.parquet"
+      - split: test
+        path: "data/test/A-4.parquet"
+  - config_name: "A-5"
+    data_files:
+      - split: train
+        path: "data/train/A-5.parquet"
+      - split: test
+        path: "data/test/A-5.parquet"
+  - config_name: "A-6"
+    data_files:
+      - split: train
+        path: "data/train/A-6.parquet"
+      - split: test
+        path: "data/test/A-6.parquet"
+  - config_name: "A-7"
+    data_files:
+      - split: train
+        path: "data/train/A-7.parquet"
+      - split: test
+        path: "data/test/A-7.parquet"
+  - config_name: "A-8"
+    data_files:
+      - split: train
+        path: "data/train/A-8.parquet"
+      - split: test
+        path: "data/test/A-8.parquet"
+  - config_name: "A-9"
+    data_files:
+      - split: train
+        path: "data/train/A-9.parquet"
+      - split: test
+        path: "data/test/A-9.parquet"
+  - config_name: "B-1"
+    data_files:
+      - split: train
+        path: "data/train/B-1.parquet"
+      - split: test
+        path: "data/test/B-1.parquet"
+  - config_name: "C-1"
+    data_files:
+      - split: train
+        path: "data/train/C-1.parquet"
+      - split: test
+        path: "data/test/C-1.parquet"
+  - config_name: "C-2"
+    data_files:
+      - split: train
+        path: "data/train/C-2.parquet"
+      - split: test
+        path: "data/test/C-2.parquet"
+  - config_name: "D-1"
+    data_files:
+      - split: train
+        path: "data/train/D-1.parquet"
+      - split: test
+        path: "data/test/D-1.parquet"
+  - config_name: "D-11"
+    data_files:
+      - split: train
+        path: "data/train/D-11.parquet"
+      - split: test
+        path: "data/test/D-11.parquet"
+  - config_name: "D-12"
+    data_files:
+      - split: train
+        path: "data/train/D-12.parquet"
+      - split: test
+        path: "data/test/D-12.parquet"
+  - config_name: "D-13"
+    data_files:
+      - split: train
+        path: "data/train/D-13.parquet"
+      - split: test
+        path: "data/test/D-13.parquet"
+  - config_name: "D-14"
+    data_files:
+      - split: train
+        path: "data/train/D-14.parquet"
+      - split: test
+        path: "data/test/D-14.parquet"
+  - config_name: "D-15"
+    data_files:
+      - split: train
+        path: "data/train/D-15.parquet"
+      - split: test
+        path: "data/test/D-15.parquet"
+  - config_name: "D-16"
+    data_files:
+      - split: train
+        path: "data/train/D-16.parquet"
+      - split: test
+        path: "data/test/D-16.parquet"
+  - config_name: "D-2"
+    data_files:
+      - split: train
+        path: "data/train/D-2.parquet"
+      - split: test
+        path: "data/test/D-2.parquet"
+  - config_name: "D-3"
+    data_files:
+      - split: train
+        path: "data/train/D-3.parquet"
+      - split: test
+        path: "data/test/D-3.parquet"
+  - config_name: "D-4"
+    data_files:
+      - split: train
+        path: "data/train/D-4.parquet"
+      - split: test
+        path: "data/test/D-4.parquet"
+  - config_name: "D-5"
+    data_files:
+      - split: train
+        path: "data/train/D-5.parquet"
+      - split: test
+        path: "data/test/D-5.parquet"
+  - config_name: "D-6"
+    data_files:
+      - split: train
+        path: "data/train/D-6.parquet"
+      - split: test
+        path: "data/test/D-6.parquet"
+  - config_name: "D-7"
+    data_files:
+      - split: train
+        path: "data/train/D-7.parquet"
+      - split: test
+        path: "data/test/D-7.parquet"
+  - config_name: "D-8"
+    data_files:
+      - split: train
+        path: "data/train/D-8.parquet"
+      - split: test
+        path: "data/test/D-8.parquet"
+  - config_name: "D-9"
+    data_files:
+      - split: train
+        path: "data/train/D-9.parquet"
+      - split: test
+        path: "data/test/D-9.parquet"
+  - config_name: "E-1"
+    data_files:
+      - split: train
+        path: "data/train/E-1.parquet"
+      - split: test
+        path: "data/test/E-1.parquet"
+  - config_name: "E-10"
+    data_files:
+      - split: train
+        path: "data/train/E-10.parquet"
+      - split: test
+        path: "data/test/E-10.parquet"
+  - config_name: "E-11"
+    data_files:
+      - split: train
+        path: "data/train/E-11.parquet"
+      - split: test
+        path: "data/test/E-11.parquet"
+  - config_name: "E-12"
+    data_files:
+      - split: train
+        path: "data/train/E-12.parquet"
+      - split: test
+        path: "data/test/E-12.parquet"
+  - config_name: "E-13"
+    data_files:
+      - split: train
+        path: "data/train/E-13.parquet"
+      - split: test
+        path: "data/test/E-13.parquet"
+  - config_name: "E-2"
+    data_files:
+      - split: train
+        path: "data/train/E-2.parquet"
+      - split: test
+        path: "data/test/E-2.parquet"
+  - config_name: "E-3"
+    data_files:
+      - split: train
+        path: "data/train/E-3.parquet"
+      - split: test
+        path: "data/test/E-3.parquet"
+  - config_name: "E-4"
+    data_files:
+      - split: train
+        path: "data/train/E-4.parquet"
+      - split: test
+        path: "data/test/E-4.parquet"
+  - config_name: "E-5"
+    data_files:
+      - split: train
+        path: "data/train/E-5.parquet"
+      - split: test
+        path: "data/test/E-5.parquet"
+  - config_name: "E-6"
+    data_files:
+      - split: train
+        path: "data/train/E-6.parquet"
+      - split: test
+        path: "data/test/E-6.parquet"
+  - config_name: "E-7"
+    data_files:
+      - split: train
+        path: "data/train/E-7.parquet"
+      - split: test
+        path: "data/test/E-7.parquet"
+  - config_name: "E-8"
+    data_files:
+      - split: train
+        path: "data/train/E-8.parquet"
+      - split: test
+        path: "data/test/E-8.parquet"
+  - config_name: "E-9"
+    data_files:
+      - split: train
+        path: "data/train/E-9.parquet"
+      - split: test
+        path: "data/test/E-9.parquet"
+  - config_name: "F-1"
+    data_files:
+      - split: train
+        path: "data/train/F-1.parquet"
+      - split: test
+        path: "data/test/F-1.parquet"
+  - config_name: "F-2"
+    data_files:
+      - split: train
+        path: "data/train/F-2.parquet"
+      - split: test
+        path: "data/test/F-2.parquet"
+  - config_name: "F-3"
+    data_files:
+      - split: train
+        path: "data/train/F-3.parquet"
+      - split: test
+        path: "data/test/F-3.parquet"
+  - config_name: "F-4"
+    data_files:
+      - split: train
+        path: "data/train/F-4.parquet"
+      - split: test
+        path: "data/test/F-4.parquet"
+  - config_name: "F-5"
+    data_files:
+      - split: train
+        path: "data/train/F-5.parquet"
+      - split: test
+        path: "data/test/F-5.parquet"
+  - config_name: "F-7"
+    data_files:
+      - split: train
+        path: "data/train/F-7.parquet"
+      - split: test
+        path: "data/test/F-7.parquet"
+  - config_name: "F-8"
+    data_files:
+      - split: train
+        path: "data/train/F-8.parquet"
+      - split: test
+        path: "data/test/F-8.parquet"
+  - config_name: "G-1"
+    data_files:
+      - split: train
+        path: "data/train/G-1.parquet"
+      - split: test
+        path: "data/test/G-1.parquet"
+  - config_name: "G-2"
+    data_files:
+      - split: train
+        path: "data/train/G-2.parquet"
+      - split: test
+        path: "data/test/G-2.parquet"
+  - config_name: "G-3"
+    data_files:
+      - split: train
+        path: "data/train/G-3.parquet"
+      - split: test
+        path: "data/test/G-3.parquet"
+  - config_name: "G-4"
+    data_files:
+      - split: train
+        path: "data/train/G-4.parquet"
+      - split: test
+        path: "data/test/G-4.parquet"
+  - config_name: "G-6"
+    data_files:
+      - split: train
+        path: "data/train/G-6.parquet"
+      - split: test
+        path: "data/test/G-6.parquet"
+  - config_name: "G-7"
+    data_files:
+      - split: train
+        path: "data/train/G-7.parquet"
+      - split: test
+        path: "data/test/G-7.parquet"
+  - config_name: "M-1"
+    data_files:
+      - split: train
+        path: "data/train/M-1.parquet"
+      - split: test
+        path: "data/test/M-1.parquet"
+  - config_name: "M-2"
+    data_files:
+      - split: train
+        path: "data/train/M-2.parquet"
+      - split: test
+        path: "data/test/M-2.parquet"
+  - config_name: "M-3"
+    data_files:
+      - split: train
+        path: "data/train/M-3.parquet"
+      - split: test
+        path: "data/test/M-3.parquet"
+  - config_name: "M-4"
+    data_files:
+      - split: train
+        path: "data/train/M-4.parquet"
+      - split: test
+        path: "data/test/M-4.parquet"
+  - config_name: "M-5"
+    data_files:
+      - split: train
+        path: "data/train/M-5.parquet"
+      - split: test
+        path: "data/test/M-5.parquet"
+  - config_name: "M-6"
+    data_files:
+      - split: train
+        path: "data/train/M-6.parquet"
+      - split: test
+        path: "data/test/M-6.parquet"
+  - config_name: "M-7"
+    data_files:
+      - split: train
+        path: "data/train/M-7.parquet"
+      - split: test
+        path: "data/test/M-7.parquet"
+  - config_name: "P-1"
+    data_files:
+      - split: train
+        path: "data/train/P-1.parquet"
+      - split: test
+        path: "data/test/P-1.parquet"
+  - config_name: "P-10"
+    data_files:
+      - split: train
+        path: "data/train/P-10.parquet"
+      - split: test
+        path: "data/test/P-10.parquet"
+  - config_name: "P-11"
+    data_files:
+      - split: train
+        path: "data/train/P-11.parquet"
+      - split: test
+        path: "data/test/P-11.parquet"
+  - config_name: "P-14"
+    data_files:
+      - split: train
+        path: "data/train/P-14.parquet"
+      - split: test
+        path: "data/test/P-14.parquet"
+  - config_name: "P-15"
+    data_files:
+      - split: train
+        path: "data/train/P-15.parquet"
+      - split: test
+        path: "data/test/P-15.parquet"
+  - config_name: "P-2"
+    data_files:
+      - split: train
+        path: "data/train/P-2.parquet"
+      - split: test
+        path: "data/test/P-2.parquet"
+  - config_name: "P-3"
+    data_files:
+      - split: train
+        path: "data/train/P-3.parquet"
+      - split: test
+        path: "data/test/P-3.parquet"
+  - config_name: "P-4"
+    data_files:
+      - split: train
+        path: "data/train/P-4.parquet"
+      - split: test
+        path: "data/test/P-4.parquet"
+  - config_name: "P-7"
+    data_files:
+      - split: train
+        path: "data/train/P-7.parquet"
+      - split: test
+        path: "data/test/P-7.parquet"
+  - config_name: "R-1"
+    data_files:
+      - split: train
+        path: "data/train/R-1.parquet"
+      - split: test
+        path: "data/test/R-1.parquet"
+  - config_name: "S-1"
+    data_files:
+      - split: train
+        path: "data/train/S-1.parquet"
+      - split: test
+        path: "data/test/S-1.parquet"
+  - config_name: "S-2"
+    data_files:
+      - split: train
+        path: "data/train/S-2.parquet"
+      - split: test
+        path: "data/test/S-2.parquet"
+  - config_name: "T-1"
+    data_files:
+      - split: train
+        path: "data/train/T-1.parquet"
+      - split: test
+        path: "data/test/T-1.parquet"
+  - config_name: "T-10"
+    data_files:
+      - split: train
+        path: "data/train/T-10.parquet"
+      - split: test
+        path: "data/test/T-10.parquet"
+  - config_name: "T-12"
+    data_files:
+      - split: train
+        path: "data/train/T-12.parquet"
+      - split: test
+        path: "data/test/T-12.parquet"
+  - config_name: "T-13"
+    data_files:
+      - split: train
+        path: "data/train/T-13.parquet"
+      - split: test
+        path: "data/test/T-13.parquet"
+  - config_name: "T-2"
+    data_files:
+      - split: train
+        path: "data/train/T-2.parquet"
+      - split: test
+        path: "data/test/T-2.parquet"
+  - config_name: "T-3"
+    data_files:
+      - split: train
+        path: "data/train/T-3.parquet"
+      - split: test
+        path: "data/test/T-3.parquet"
+  - config_name: "T-4"
+    data_files:
+      - split: train
+        path: "data/train/T-4.parquet"
+      - split: test
+        path: "data/test/T-4.parquet"
+  - config_name: "T-5"
+    data_files:
+      - split: train
+        path: "data/train/T-5.parquet"
+      - split: test
+        path: "data/test/T-5.parquet"
+  - config_name: "T-8"
+    data_files:
+      - split: train
+        path: "data/train/T-8.parquet"
+      - split: test
+        path: "data/test/T-8.parquet"
+  - config_name: "T-9"
+    data_files:
+      - split: train
+        path: "data/train/T-9.parquet"
+      - split: test
+        path: "data/test/T-9.parquet"
+default_config_name: "A-1"
 ---
 
 # NASA SMAP and MSL Spacecraft Anomaly Detection Dataset
@@ -30,19 +524,29 @@ The data was originally used in the 2018 KDD paper [Detecting Spacecraft Anomali
 
 ```
 data/
-  train/       # 82 .npy files (one per channel)
-  test/        # 82 .npy files (one per channel)
+  train/       # 82 Parquet files (one per channel)
+  test/        # 82 Parquet files (one per channel)
+  data/
+    train/     # 82 .npy files (original format)
+    test/      # 82 .npy files (original format)
 labeled_anomalies.csv
 ```
 
+Each channel is available as a separate config (e.g., `A-1`, `P-1`, `M-1`) that can be selected in the dataset viewer or loaded programmatically.
+
 ### Data Files
 
-Each `.npy` file has shape `(n_timesteps, n_inputs)`:
+Each Parquet file contains the following columns:
+
+| Column | Description |
+|---|---|
+| `timestep` | Integer index of the time step |
+| `value` | Target telemetry value being monitored |
+| `cmd_0` ... `cmd_N` | One-hot encoded command information (24 or 54 columns depending on channel) |
 
-- The **first column** is the target telemetry value being monitored.
-- Remaining columns are one-hot encoded command information for the corresponding spacecraft module.
 - All telemetry values are anonymized and normalized to `[-1, 1]` based on min/max in the test set.
 - Channel IDs are anonymized; the first letter indicates channel type (`P` = power, `R` = radiation, etc.).
+- SMAP channels have 24 command columns; MSL channels have 54 command columns.
 
 ### Anomaly Labels (`labeled_anomalies.csv`)
 
@@ -66,11 +570,30 @@ Each `.npy` file has shape `(n_timesteps, n_inputs)`:
 
 ## Usage
 
+### Using `datasets` library (recommended)
+
+```python
+from datasets import load_dataset
+
+# Load a specific channel (e.g., P-1)
+ds = load_dataset("appleparan/telemanom", name="P-1")
+print(ds)
+# DatasetDict({
+#     train: Dataset({features: ['timestep', 'value', 'cmd_0', ...], num_rows: ...})
+#     test:  Dataset({features: ['timestep', 'value', 'cmd_0', ...], num_rows: ...})
+# })
+
+# Access train/test splits
+train_df = ds["train"].to_pandas()
+test_df = ds["test"].to_pandas()
+```
+
+### Using numpy (original .npy format)
+
 ```python
 import numpy as np
 from huggingface_hub import hf_hub_download
 
-# Download a single channel file
 path = hf_hub_download(
     repo_id="appleparan/telemanom",
     filename="data/data/test/P-1.npy",

convert_to_parquet.py

@@ -0,0 +1,87 @@
+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+#     "numpy",
+#     "pandas",
+#     "pyarrow",
+# ]
+# ///
+"""Convert .npy telemetry files to per-channel Parquet files for Hugging Face."""
+
+import csv
+from pathlib import Path
+
+import numpy as np
+import pandas as pd
+
+
+def load_channel_mapping(csv_path: Path) -> dict[str, str]:
+    """Load channel_id -> spacecraft mapping from labeled_anomalies.csv."""
+    mapping = {}
+    with open(csv_path) as f:
+        for row in csv.DictReader(f):
+            mapping[row['chan_id']] = row['spacecraft']
+    return mapping
+
+
+def convert_npy_to_parquet(npy_path: Path) -> pd.DataFrame:
+    """Convert a single .npy file to a DataFrame."""
+    arr = np.load(npy_path)
+    n_timesteps, n_cols = arr.shape
+
+    col_names = ['value'] + [f'cmd_{i}' for i in range(n_cols - 1)]
+    df = pd.DataFrame(arr, columns=col_names)
+    df.insert(0, 'timestep', range(n_timesteps))
+    return df
+
+
+def generate_configs_yaml(channels: list[str]) -> str:
+    """Generate the configs section for README YAML frontmatter."""
+    lines = ['configs:']
+    for chan in sorted(channels):
+        lines.append(f'  - config_name: "{chan}"')
+        lines.append('    data_files:')
+        lines.append('      - split: train')
+        lines.append(f'        path: "data/train/{chan}.parquet"')
+        lines.append('      - split: test')
+        lines.append(f'        path: "data/test/{chan}.parquet"')
+    return '\n'.join(lines)
+
+
+def main() -> None:
+    """Convert all .npy files to per-channel Parquet and print YAML configs."""
+    npy_dir = Path('data/data')
+    out_dir = Path('data')
+
+    channels = []
+
+    for split in ['train', 'test']:
+        split_in = npy_dir / split
+        split_out = out_dir / split
+        split_out.mkdir(parents=True, exist_ok=True)
+
+        for npy_path in sorted(split_in.glob('*.npy')):
+            channel_id = npy_path.stem
+            if split == 'train':
+                channels.append(channel_id)
+
+            df = convert_npy_to_parquet(npy_path)
+            parquet_path = split_out / f'{channel_id}.parquet'
+            df.to_parquet(parquet_path, index=False, engine='pyarrow')
+
+            print(f'  {split}/{channel_id}: {df.shape} -> {parquet_path}')
+
+    # Also convert labeled_anomalies.csv
+    labels_csv = Path('labeled_anomalies.csv')
+    if labels_csv.exists():
+        labels = pd.read_csv(labels_csv)
+        labels_out = out_dir / 'labeled_anomalies.parquet'
+        labels.to_parquet(labels_out, index=False, engine='pyarrow')
+        print(f'  labels: {len(labels)} rows -> {labels_out}')
+
+    print('\n--- Copy below into README.md YAML frontmatter ---\n')
+    print(generate_configs_yaml(channels))
+
+
+if __name__ == '__main__':
+    main()

data/labeled_anomalies.parquet

@@ -0,0 +1,3 @@
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