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The dataset generation failed
Error code: DatasetGenerationError Exception: UnicodeDecodeError Message: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1853, in _prepare_split_single for _, table in generator: File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 678, in wrapped for item in generator(*args, **kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables batch = f.read(self.config.chunksize) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 830, in read_with_retries out = read(*args, **kwargs) File "/usr/local/lib/python3.9/codecs.py", line 322, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte 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 1387, 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 980, in stream_convert_to_parquet builder._prepare_split( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1896, 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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string |
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107,82,13,11 |
752,132,330,276 |
533,357,361,351 |
238,173,37,153 |
630,357,29,79 |
677,85,142,476 |
725,52,190,565 |
280,257,20,61 |
780,401,101,80 |
89,136,69,59 |
488,43,763,569 |
258,230,424,311 |
197,239,546,312 |
57,53,267,190 |
209,128,145,147 |
136,160,547,345 |
71,88,264,253 |
1028,215,157,174 |
453,319,90,188 |
580,442,123,114 |
473,103,200,589 |
18,536,174,65 |
165,122,717,434 |
449,275,257,91 |
853,378,155,339 |
843,304,158,391 |
398,379,172,293 |
342,189,368,367 |
497,133,32,67 |
353,298,250,96 |
256,254,292,310 |
339,323,277,67 |
170,124,163,225 |
461,417,131,102 |
619,349,447,329 |
168,117,97,58 |
255,171,52,14 |
161,194,61,14 |
298,321,96,120 |
7,170,65,56 |
260,189,876,448 |
194,106,213,116 |
1004,457,167,118 |
395,203,129,439 |
494,122,163,397 |
678,189,146,286 |
405,1,225,453 |
604,49,179,59 |
515,430,74,135 |
436,286,430,256 |
579,138,146,486 |
402,118,382,337 |
441,405,337,241 |
630,301,211,157 |
582,403,184,228 |
464,106,57,170 |
188,94,54,37 |
101,220,239,164 |
123,17,141,85 |
211,354,679,303 |
704,332,108,155 |
628,283,49,80 |
573,405,21,15 |
258,66,417,125 |
172,85,201,221 |
916,148,114,170 |
58,93,44,191 |
203,89,20,42 |
342,104,12,20 |
127,3,334,303 |
260,158,24,14 |
541,119,206,177 |
58,121,343,208 |
71,416,159,94 |
1166,356,111,258 |
567,276,710,81 |
63,162,76,61 |
258,96,344,110 |
524,74,448,643 |
615,375,40,55 |
679,1,304,669 |
277,61,84,265 |
320,14,127,322 |
439,287,290,430 |
77,356,148,87 |
372,160,50,125 |
336,122,311,265 |
122,358,722,230 |
271,26,228,115 |
488,190,226,527 |
201,40,120,317 |
267,270,330,289 |
218,162,33,36 |
132,77,42,41 |
615,136,183,428 |
54,90,192,82 |
583,215,176,197 |
1036,363,242,177 |
396,131,25,30 |
421,355,95,62 |
End of preview.
TrackingNet devkit
This repository contains the data of the paper TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.
Download from HuggingFace
Download splits
from huggingface_hub import snapshot_download
# Download TRAIN_0 split (90GB)
snapshot_download(repo_id="SilvioGiancola/TrackingNet",
repo_type="dataset", revision="main",
local_dir="TrackingNet_HF",
allow_patterns="*TRAIN_0/*")
# Download TEST split (35GB)
snapshot_download(repo_id="SilvioGiancola/TrackingNet",
repo_type="dataset", revision="main",
local_dir="TrackingNet_HF",
allow_patterns="*TEST/*")
# Download all TRAIN splits (1.2TB)
snapshot_download(repo_id="SilvioGiancola/TrackingNet",
repo_type="dataset", revision="main",
local_dir="TrackingNet_HF",
allow_patterns="*TRAIN*")
TrackingNet pip package
conda create -n TrackingNet python pip
pip install TrackingNet
Utility functions for TrackingNet
from TrackingNet.utils import getListSplit
# Get list of codenames for the 12 training + testing split
TrackingNetSplits = getListSplit()
print(getListSplit())
# returns ["TEST", "TRAIN_0", "TRAIN_1", "TRAIN_2", "TRAIN_3", "TRAIN_4", "TRAIN_5", "TRAIN_6", "TRAIN_7", "TRAIN_8", "TRAIN_9", "TRAIN_10", "TRAIN_11"]
# Get list of tracking sequences
print(getListSequence(split=TrackingNetSplits[1])) # return list of tracking sequences in that split
print(getListSequence(split="TEST")) # return list of tracking sequences for testing
print(getListSequence(split=["TRAIN_0", "TRAIN_1"])) # return list of tracking sequences for train splits 0 and 1
print(getListSequence(split="TRAIN")) # return list of tracking sequences for al train splits
Downloading TrackingNet
from TrackingNet.Downloader import TrackingNetDownloader
from TrackingNet.utils import getListSplit
downloader = TrackingNetDownloader(LocalDirectory="path/to/TrackingNet")
for split in getListSplit():
downloader.downloadSplit(split)
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