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Assignment-2

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Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    FileNotFoundError
Message:      Couldn't find any data file at /src/services/worker/hk3742/Assignment-2. Couldn't find 'hk3742/Assignment-2' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/hk3742/Assignment-2@461aaf7d769fb70477e6397ddac3c515f1705709/detections.parquet' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.ndjson', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.tar', '.xml', '.hdf5', '.h5', '.eval', '.lance', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.3gp', '.3g2', '.avi', '.asf', '.flv', '.mp4', '.mov', '.m4v', '.mkv', '.webm', '.f4v', '.wmv', '.wma', '.ogm', '.mxf', '.nut', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.3GP', '.3G2', '.AVI', '.ASF', '.FLV', '.MP4', '.MOV', '.M4V', '.MKV', '.WEBM', '.F4V', '.WMV', '.WMA', '.OGM', '.MXF', '.NUT', '.pdf', '.PDF', '.nii', '.NII', '.zip', '.manifest', '.idx', '.txn']
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1025, in dataset_module_factory
                  raise FileNotFoundError(
              FileNotFoundError: Couldn't find any data file at /src/services/worker/hk3742/Assignment-2. Couldn't find 'hk3742/Assignment-2' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/hk3742/Assignment-2@461aaf7d769fb70477e6397ddac3c515f1705709/detections.parquet' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.ndjson', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.tar', '.xml', '.hdf5', '.h5', '.eval', '.lance', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.3gp', '.3g2', '.avi', '.asf', '.flv', '.mp4', '.mov', '.m4v', '.mkv', '.webm', '.f4v', '.wmv', '.wma', '.ogm', '.mxf', '.nut', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.3GP', '.3G2', '.AVI', '.ASF', '.FLV', '.MP4', '.MOV', '.M4V', '.MKV', '.WEBM', '.F4V', '.WMV', '.WMA', '.OGM', '.MXF', '.NUT', '.pdf', '.PDF', '.nii', '.NII', '.zip', '.manifest', '.idx', '.txn']

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RAV4 Car Part Detection Index

This dataset supports image-to-video semantic retrieval for car exterior components. It contains two files: a detection index built from a Toyota RAV4 2026 review video, and retrieval results mapping query images to video segments.

detections.parquet

Object detection results for every sampled frame of the source video (YouTube ID: YcvECxtXoxQ), covering the clip from 18:39 to 24:44, sampled at 1 frame per second.

Column Type Description
video_id string YouTube video ID (YcvECxtXoxQ)
frame_index int32 1-based frame number matching ffmpeg output
timestamp_sec float32 Position in the original video (seconds)
class_id int16 Numeric class index from the YOLO model
class_label string Detected part name (e.g. front_bumper, wheel)
confidence_score float32 Detection confidence in [0, 1]
x_min float32 Left edge of bounding box (pixels)
y_min float32 Top edge of bounding box (pixels)
x_max float32 Right edge of bounding box (pixels)
y_max float32 Bottom edge of bounding box (pixels)
frame_width int32 Source frame width (pixels)
frame_height int32 Source frame height (pixels)
model_name string YOLO weights file used for inference

Detector: YOLOv8m-seg fine-tuned on the Ultralytics Car Parts Segmentation Dataset (23 classes)
Confidence threshold: 0.30
Total detections: 2,233 across 347 frames

queries.parquet

Retrieval results for each of the 65 query images from aegean-ai/rav4-exterior-images. Each row represents a contiguous video segment where a query image's detected component class is present.

Column Type Description
query_index int32 Index of the query image (0–64)
query_timestamp string Timestamp of query image in source video (MM:SS)
query_timestamp_sec int32 Timestamp of query image in seconds
class_label string Detected car part class (e.g. front_bumper, wheel)
start_timestamp_sec float32 Start of matched video segment (seconds)
end_timestamp_sec float32 End of matched video segment (seconds)
n_supporting_detections int32 Number of frames supporting this segment
youtube_url string YouTube embed URL for the matched segment

Query images: 65 images from aegean-ai/rav4-exterior-images
Total retrieval results: 2,270 rows
Gap tolerance: Detections within 10 seconds are merged into a single segment

Retrieval Protocol

  1. Run YOLOv8m-seg on a query image to identify component class(es)
  2. Filter detections.parquet to rows matching those class labels
  3. Sort by timestamp_sec and merge consecutive timestamps within a 10-second gap
  4. Return (start_timestamp_sec, end_timestamp_sec, class_label, n_supporting_detections)

Verify results visually:

https://www.youtube.com/embed/YcvECxtXoxQ?start=<start>&end=<end>
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