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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
txt string | __key__ string | __url__ string |
|---|---|---|
0 0.70078125 0.3791666666666667 0.0390625 0.10555555555555556
| train/labels/AoF05695 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.47734375 0.2916666666666667 0.26406250000000003 0.5555555555555556
| train/labels/WEB08898 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB01102 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.465 0.475767366720517 0.29 0.9063004846526657
| train/labels/WEB07573 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.578125 0.5069444444444444 0.7093750000000001 0.9361111111111111
1 0.7421875 0.5569444444444445 0.49375 0.7916666666666667
| train/labels/WEB08640 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.27314814814814814 0.3458333333333333 0.5351851851851852 0.19722222222222224
| train/labels/PublicDataset00462 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.5077197149643705 0.7232779097387174 0.10095011876484561 0.163895486935867
0 0.25534441805225655 0.3776722090261283 0.498812351543943 0.7410926365795725
| train/labels/WEB03715 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF00935 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.6000000000000001 0.6638888888888889 0.10625000000000001 0.14444444444444446
1 0.9460937500000001 0.5194444444444445 0.1078125 0.4777777777777778
0 0.50390625 0.3680555555555556 0.8671875 0.6694444444444445
| train/labels/WEB05364 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.5333333333333333 0.5861111111111111 0.35 0.3
1 0.7395833333333334 0.24444444444444446 0.058333333333333334 0.10555555555555556
1 0.8895833333333333 0.1277777777777778 0.10416666666666667 0.2111111111111111
| train/labels/WEB05402 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF01395 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/WEB03073 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.665625 0.41805555555555557 0.33125 0.125
| train/labels/PublicDataset00304 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.6171875 0.27708333333333335 0.253125 0.5375
| train/labels/WEB07215 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.6049528301886792 0.45625 0.5141509433962264 0.6291666666666667
| train/labels/WEB08126 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF02844 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/AoF03582 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/WEB01664 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.5843023255813954 0.5549095607235143 0.22674418604651161 0.17183462532299743
| train/labels/WEB09238 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.535546875 0.22013888888888888 0.32578125 0.4291666666666667
| train/labels/WEB07201 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF02850 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.689922480620155 0.31847545219638246 0.6007751937984496 0.41214470284237725
| train/labels/WEB08132 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF03596 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/WEB01670 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/AoF02688 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.31313131313131315 0.3277777777777778 0.5656565656565657 0.20555555555555557
0 0.25 0.12638888888888888 0.42929292929292934 0.21944444444444444
| train/labels/WEB05416 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF01381 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/WEB02379 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/WEB03067 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.42604166666666665 0.375 0.8020833333333334 0.2
| train/labels/PublicDataset00310 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.53359375 0.3805555555555556 0.1078125 0.18888888888888888
| train/labels/WEB04708 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.13055555555555556 0.3194444444444445 0.2351851851851852 0.6055555555555556
| train/labels/PublicDataset00476 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.49272930648769575 0.49900596421471166 0.0436241610738255 0.15109343936381708
| train/labels/WEB03701 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF00921 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.7074218750000001 0.2951388888888889 0.05234375 0.043055555555555555
| train/labels/AoF06388 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.7585937500000001 0.5534722222222223 0.0390625 0.0625
1 0.8875000000000001 0.5465277777777778 0.0671875 0.06805555555555556
1 0.837890625 0.5020833333333333 0.02734375 0.03194444444444445
1 0.5320312500000001 0.5388888888888889 0.109375 0.07777777777777778
1 0.59765625 0.6020833333333333 0.1171875 0.0625
0 0.59... | train/labels/WEB05370 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.6507812500000001 0.6946022727272727 0.09843750000000001 0.3380681818181818
0 0.8640625000000001 0.5965909090909091 0.265625 0.5738636363636364
| train/labels/WEB06679 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.10429687500000001 0.3597222222222222 0.05234375 0.09722222222222222
| train/labels/AoF05681 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB01116 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.5769531250000001 0.4083333333333333 0.02109375 0.030555555555555558
| train/labels/AoF05859 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB00208 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.3459090909090909 0.3311793214862682 0.20272727272727273 0.6332794830371568
| train/labels/WEB07567 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.521875 0.6458333333333334 0.153125 0.6027777777777777
0 0.2578125 0.5013888888888889 0.48750000000000004 1.0
| train/labels/WEB08654 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.605 0.29840142095914746 0.78 0.5506216696269982
1 0.2755 0.29396092362344584 0.20700000000000002 0.35701598579040855
1 0.151 0.5124333925399644 0.022 0.04085257548845471
| train/labels/WEB04046 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.3138075313807531 0.5353159851301115 0.1896792189679219 0.14126394052044608
0 0.599721059972106 0.2555762081784386 0.7642956764295676 0.5
| train/labels/WEB03729 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB02437 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.4158415841584158 0.42638888888888893 0.5643564356435644 0.913888888888889
| train/labels/WEB05358 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF00909 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.21406250000000002 0.6207386363636364 0.12812500000000002 0.09943181818181819
| train/labels/WEB06651 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB00220 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.7367187500000001 0.3678977272727273 0.5171875 0.71875
1 0.971875 0.6860795454545455 0.043750000000000004 0.05397727272727273
| train/labels/WEB06889 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.58046875 0.40902777777777777 0.018750000000000003 0.02638888888888889
| train/labels/AoF05871 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB01880 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/AoF02878 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.3223583460949464 0.36938775510204086 0.6294027565084227 0.7142857142857143
| train/labels/WEB07229 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB00546 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/WEB01658 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.33983739837398375 0.5981240981240982 0.11544715447154472 0.22943722943722944
| train/labels/WEB09204 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.6787109375 0.3294270833333333 0.619140625 0.5234375
1 0.35009765625 0.796875 0.2978515625 0.11458333333333333
1 0.59423828125 0.703125 0.1357421875 0.17447916666666666
| train/labels/WEB06137 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.5075000000000001 0.25 0.35000000000000003 0.42000000000000004
0 0.7425 0.21333333333333335 0.23 0.4066666666666667
1 0.2225 0.315 0.05 0.09666666666666668
| train/labels/PublicDataset01026 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB02351 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.335 0.59375 0.23 0.10416666666666666
1 0.11333333333333334 0.6458333333333333 0.1 0.041666666666666664
0 0.43500000000000005 0.34375 0.8233333333333334 0.6041666666666666
| train/labels/WEB04720 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.5916666666666667 0.4361111111111111 0.575 0.21666666666666667
| train/labels/PublicDataset00338 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.50875 0.4287128712871287 0.6525 0.8376237623762376
| train/labels/PublicDataset01032 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB02345 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.42890625000000004 0.7416666666666667 0.0484375 0.08888888888888889
| train/labels/WEB04734 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB01894 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/WEB00552 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.4365750528541226 0.25872093023255816 0.8520084566596194 0.5
| train/labels/WEB09210 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.6036458333333333 0.34861111111111115 0.778125 0.6833333333333333
| train/labels/WEB06123 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.6421875 0.7173295454545455 0.13125 0.20170454545454547
| train/labels/WEB06645 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB00234 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.601171875 0.3993055555555556 0.03671875 0.051388888888888894
| train/labels/AoF05865 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.4730392156862745 0.23333333333333334 0.8774509803921569 0.3944444444444445
| train/labels/WEB08668 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.6510791366906474 0.728927203065134 0.03437250199840128 0.07471264367816091
1 0.3733013589128697 0.5134099616858238 0.1774580335731415 0.20306513409961685
0 0.5019984012789768 0.34195402298850575 0.9768185451638689 0.6226053639846743
| train/labels/WEB04052 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/WEB02423 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/AoF01430 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.9640625 0.6292613636363636 0.05 0.036931818181818184
0 0.6429687500000001 0.4474431818181818 0.6984375 0.4403409090909091
| train/labels/WEB06876 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF03227 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.8906497622820919 0.2891304347826087 0.11093502377179082 0.18043478260869567
| train/labels/AoF04548 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
1 0.64765625 0.39305555555555555 0.0390625 0.036111111111111115
0 0.49765625 0.2 1.0 0.3611111111111111
| train/labels/WEB08683 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.904296875 0.22847222222222224 0.08203125 0.15416666666666667
| train/labels/AoF05656 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF02139 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.56171875 0.46944444444444444 0.1265625 0.13333333333333333
| train/labels/AoF05130 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF02887 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/AoF03541 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/AoF00048 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.689453125 0.2986111111111111 0.04609375 0.04722222222222222
0 0.7125 0.275 0.0 0.0
| train/labels/AoF06439 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF01356 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.56875 0.49583333333333335 0.39687500000000003 0.20277777777777778
1 0.82734375 0.4513888888888889 0.09531250000000001 0.125
1 0.30859375 0.4305555555555556 0.0484375 0.1
0 0.45078125 0.24444444444444446 0.8734375000000001 0.43333333333333335
| train/labels/WEB04907 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF01342 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.40703125 0.5166666666666667 0.1796875 0.22777777777777777
1 0.40703125 0.7972222222222223 0.035937500000000004 0.03333333333333333
1 0.41484375 0.7375 0.035937500000000004 0.030555555555555558
0 0.275 0.33055555555555555 0.50625 0.6222222222222222
| train/labels/WEB04913 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.8550000000000001 0.7355555555555555 0.155 0.24444444444444444
| train/labels/AoF05124 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF02893 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
train/labels/AoF03555 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
0 0.45156250000000003 0.36079545454545453 0.8812500000000001 0.6875
1 0.75546875 0.6534090909090909 0.1015625 0.07954545454545454
| train/labels/WEB06862 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF03233 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar | |
1 0.51328125 0.36363636363636365 0.0765625 0.07386363636363637
0 0.26640625 0.2755681818181818 0.5234375 0.5227272727272727
| train/labels/WEB08697 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
0 0.83515625 0.19305555555555556 0.053125000000000006 0.08055555555555556
| train/labels/AoF05642 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
train/labels/AoF01424 | hf://datasets/hanvithSai/gavin-dfire-raw@fee27ef6934d5bb569ae6271c123673f10a877c8/train.tar |
End of preview.
D-Fire (raw mirror) — GAVIN project
This is a raw, unmodified mirror of the third-party D-Fire dataset, republished here as part of the GAVIN (Garuda Agni Vahini) wildfire-detection research project. It is not GAVIN's own processed/derived data — see "License" below for what that distinction means.
What this is
D-Fire: an image dataset for fire and smoke detection. ~21,527 ground-level images with YOLO-format bounding box annotations for fire and smoke classes.
Source & attribution (required)
- Original source: https://github.com/gaiasd/DFireDataset
- License: CC BY 4.0
- Required citation:
Pedro Vinícius Almeida Borges de Venâncio, Adriano Chaves Lisboa, Adriano Vilela Barbosa. "An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices." Neural Computing and Applications, 2022.
Structure
train/
images/ (JPG images)
labels/ (YOLO-format .txt, one per image)
test/
images/
labels/
Raw label convention as shipped by the original authors: 0=smoke, 1=fire.
License
This is a raw mirror of a third-party CC BY 4.0 dataset — the original CC BY 4.0 license governs this data, not GAVIN's own PolyForm Noncommercial license (which applies only to GAVIN's own code, trained weights, and derived/processed outputs). Attribution above must be preserved in any further redistribution.
Project
Part of GAVIN — a multi-modal, event-driven wildfire detection system for resource-constrained drones. See the repo for code, setup instructions, and the full dataset attribution ledger (DATA_SOURCES.md).
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