Datasets:
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The dataset generation failed
Error code: DatasetGenerationError
Exception: IndexError
Message: list index out of range
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1859, in _prepare_split_single
original_shard_lengths[original_shard_id] += len(table)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
IndexError: list index out of range
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 1694, 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 1880, 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.
text string |
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0 0.419403 0.570880 0.030608 0.051499 |
0 0.372762 0.503591 0.054900 0.032065 |
0 0.562483 0.459623 0.047126 0.046155 |
0 0.569285 0.490474 0.042268 0.023320 |
0 0.466044 0.386990 0.029150 0.055872 |
0 0.468230 0.576467 0.043726 0.044697 |
0 0.492279 0.566508 0.030608 0.048098 |
0 0.359888 0.430715 0.029150 0.020891 |
0 0.379321 0.397192 0.056843 0.029150 |
0 0.437136 0.538086 0.048584 0.046155 |
0 0.383208 0.552661 0.051985 0.033037 |
0 0.384180 0.606104 0.040325 0.019434 |
0 0.618354 0.471526 0.056843 0.024778 |
0 0.644104 0.430715 0.023806 0.020891 |
0 0.610095 0.456951 0.067046 0.036924 |
0 0.631715 0.407638 0.028665 0.027207 |
0 0.404828 0.357839 0.023806 0.012146 |
0 0.378593 0.378730 0.020891 0.047126 |
0 0.528474 0.418083 0.055386 0.057329 |
0 0.538191 0.366099 0.040811 0.044697 |
0 0.593577 0.359783 0.021377 0.032065 |
0 0.558839 0.485615 0.050527 0.032551 |
0 0.639489 0.389419 0.010203 0.036438 |
0 0.544993 0.411525 0.053928 0.033037 |
0 0.477461 0.621893 0.033523 0.064131 |
0 0.435436 0.647400 0.024778 0.014575 |
0 0.365718 0.415654 0.040811 0.032065 |
0 0.497866 0.409338 0.045183 0.028179 |
0 0.384180 0.384561 0.040325 0.003887 |
0 0.402642 0.483672 0.049070 0.021863 |
0 0.576086 0.467639 0.037410 0.036438 |
0 0.466772 0.406909 0.054414 0.038381 |
0 0.355758 0.414440 0.020891 0.027693 |
0 0.418917 0.558734 0.061216 0.058787 |
0 0.373005 0.581569 0.039839 0.041296 |
0 0.653335 0.415654 0.005830 0.032065 |
0 0.566370 0.423428 0.045183 0.023320 |
0 0.379321 0.615334 0.056843 0.001458 |
0 0.389038 0.366342 0.037410 0.026235 |
0 0.397540 0.498247 0.033523 0.051985 |
0 0.431306 0.546345 0.043726 0.036438 |
0 0.390010 0.442861 0.051985 0.027207 |
0 0.448796 0.394277 0.038867 0.022834 |
0 0.612039 0.594443 0.043726 0.030608 |
0 0.613010 0.581812 0.039839 0.037410 |
0 0.511470 0.512336 0.046155 0.035466 |
0 0.612039 0.393306 0.038381 0.025264 |
0 0.558839 0.462295 0.044211 0.024292 |
0 0.508069 0.559949 0.045669 0.029150 |
0 0.387581 0.614363 0.037896 0.003401 |
0 0.545964 0.356382 0.030122 0.025264 |
0 0.521915 0.401322 0.030122 0.047612 |
0 0.598678 0.626266 0.031094 0.043240 |
0 0.556410 0.566993 0.040811 0.047126 |
0 0.455598 0.617764 0.032065 0.054900 |
0 0.400941 0.563107 0.026721 0.041296 |
0 0.576329 0.380431 0.041296 0.043240 |
0 0.515114 0.489259 0.039839 0.049556 |
0 0.569528 0.483429 0.048098 0.020891 |
0 0.617140 0.461809 0.036924 0.039353 |
0 0.458999 0.349337 0.027693 0.006802 |
0 0.460457 0.427557 0.024292 0.045669 |
0 0.452683 0.467882 0.023320 0.035952 |
0 0.532118 0.355167 0.029636 0.022834 |
0 0.521915 0.349337 0.024778 0.011174 |
0 0.653092 0.582297 0.006316 0.027207 |
0 0.641675 0.554119 0.028665 0.027207 |
0 0.596978 0.526426 0.045183 0.025750 |
0 0.367661 0.582297 0.044697 0.027207 |
0 0.448796 0.613877 0.038867 0.004373 |
0 0.615925 0.612419 0.037896 0.003887 |
0 0.484020 0.635740 0.030608 0.037896 |
0 0.557867 0.643999 0.028665 0.014575 |
0 0.547908 0.641327 0.025264 0.021377 |
0 0.349928 0.584969 0.006802 0.027207 |
0 0.407257 0.624323 0.028665 0.040325 |
0 0.471874 0.563593 0.027693 0.046155 |
0 0.564912 0.502377 0.032551 0.048098 |
0 0.387581 0.395249 0.037896 0.024778 |
0 0.441995 0.463267 0.043726 0.023320 |
0 0.494465 0.559949 0.045183 0.028179 |
0 0.653821 0.469097 0.004858 0.026721 |
0 0.576572 0.463752 0.043726 0.019919 |
0 0.537705 0.453064 0.034009 0.019919 |
0 0.643618 0.540515 0.024778 0.027207 |
0 0.649691 0.531770 0.013118 0.023320 |
0 0.571471 0.642784 0.028665 0.014575 |
0 0.598192 0.425371 0.029636 0.048584 |
0 0.494465 0.571852 0.024292 0.049556 |
0 0.477461 0.622622 0.042268 0.040325 |
0 0.360859 0.556548 0.029150 0.027693 |
0 0.405071 0.528126 0.045669 0.026721 |
0 0.634387 0.579868 0.043726 0.028179 |
0 0.554709 0.612905 0.038867 0.004858 |
0 0.605966 0.476384 0.022834 0.052957 |
0 0.380293 0.444319 0.006802 0.046641 |
0 0.450011 0.380674 0.023320 0.051499 |
0 0.526288 0.461323 0.035466 0.037410 |
0 0.537462 0.417598 0.038381 0.031580 |
0 0.515599 0.445776 0.034009 0.036924 |
End of preview.
Datasets — TCC detecção de ovos de Aedes aegypti
Erlan Lira (UFPE) · Conjunto usado com os pesos em erlanliraa/aedes-tcc-weights.
Documentação completa: DOCUMENTACAO.md
Pastas neste repo
Domínio fonte (microscópio)
| Pasta | O que é | Modelo |
|---|---|---|
ovos_micro_yolo26_filtrado_degradado |
Filtrado + degradação sem escala | 7 |
ovos_micro_yolo26_filtrado_degradado_escala_alinhada |
Filtrado + degradação + f=3,21 pad cinza (teacher do artigo) | 6 |
degrad_manual_alinhado_padding_preto |
Igual ao 6 com pad preto | 13 |
dataset_B_fork_professor_epoca_60_letterbox_fix_escala_alinhada |
CUT ep60 + f=3,21 | 14 |
Domínio alvo (celular)
| Pasta | O que é | Modelo |
|---|---|---|
dataset_combinado |
Combinado Freitas/Allan (labels humanos) | 8 |
dataset_combinado_com_pseudo_labels |
Combinado + pseudo-labels SAHI | 12 |
Avaliação
| Pasta | Uso |
|---|---|
imagens_contadas_fiocruz |
Contagem 28 palhetas (GT 8.035) |
segmentos_palhetas |
F1/mAP (localização Dataset A) |
Formato YOLO (train/valid/test + data.yaml) nas pastas de treino. Ajuste caminhos relativos no data.yaml se necessário.
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