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frugal-ai-challenge
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public-leaderboard-image

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value 51.796 was truncated converting to int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Float value 51.796 was truncated converting to int64
              
              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 1420, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1897, 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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username
string
space_url
string
submission_timestamp
string
model_description
string
classification_accuracy
float64
mean_iou
float64
energy_consumed_wh
float64
emissions_gco2eq
float64
emissions_data
dict
api_route
string
dataset_config
dict
TheoLvs
https://huggingface.co/spaces/TheoLvs/api-test
2025-01-06T05:33:24.776212
Random Baseline
0.499492
0.002411
1.280344
0.472619
{ "run_id": "b9dffe34-eb0a-42b1-a1a2-62cd1a70cd99", "duration": 23.46496757299974, "emissions": 0.00047261911937939967, "emissions_rate": 0.000020140854672878958, "cpu_power": 150, "gpu_power": 0, "ram_power": 46.42727851867676, "cpu_energy": 0.0009777317076666348, "gpu_energy": 0, "ram_energy": 0.0003026126538636536, "energy_consumed": 0.0012803443615302884, "country_name": "United States", "country_iso_code": "USA", "region": "virginia", "cloud_provider": "", "cloud_region": "", "os": "Linux-5.10.230-223.885.amzn2.x86_64-x86_64-with-glibc2.36", "python_version": "3.9.21", "codecarbon_version": "2.8.2", "cpu_count": 16, "cpu_model": "Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz", "gpu_count": null, "gpu_model": null, "ram_total_size": 123.80607604980469, "tracking_mode": "machine", "on_cloud": "N", "pue": 1 }
/image
{ "dataset_name": "pyronear/pyro-sdis", "test_size": 0.2, "test_seed": 42 }
TheoLvs
https://huggingface.co/spaces/TheoLvs/api-test
2025-01-06T05:35:31.063870
Random Baseline
0.500169
0.002782
2.170724
0.801289
{ "run_id": "b9dffe34-eb0a-42b1-a1a2-62cd1a70cd99", "duration": 39.783325993999824, "emissions": 0.0008012887375363081, "emissions_rate": 0.00002014098202229371, "cpu_power": 150, "gpu_power": 0, "ram_power": 46.42727851867676, "cpu_energy": 0.001657660580958312, "gpu_energy": 0, "ram_energy": 0.0005130631053992927, "energy_consumed": 0.0021707236863576047, "country_name": "United States", "country_iso_code": "USA", "region": "virginia", "cloud_provider": "", "cloud_region": "", "os": "Linux-5.10.230-223.885.amzn2.x86_64-x86_64-with-glibc2.36", "python_version": "3.9.21", "codecarbon_version": "2.8.2", "cpu_count": 16, "cpu_model": "Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz", "gpu_count": null, "gpu_model": null, "ram_total_size": 123.80607604980469, "tracking_mode": "machine", "on_cloud": "N", "pue": 1 }
/image
{ "dataset_name": "pyronear/pyro-sdis", "test_size": 0.2, "test_seed": 42 }
samysung
https://huggingface.co/spaces/samysung/submission-template
2025-01-11T14:27:08.397189
Random Baseline
0.505078
0.002893
1.249299
0.461159
{ "run_id": "8e106738-c190-48d0-b97c-980486013cba", "duration": 22.895534494891763, "emissions": 0.00046115938974314313, "emissions_rate": 0.000020140688799821044, "cpu_power": 150, "gpu_power": 0, "ram_power": 46.42727851867676, "cpu_energy": 0.0009540278907419027, "gpu_energy": 0, "ram_energy": 0.0002952715984529011, "energy_consumed": 0.0012492994891948037, "country_name": "United States", "country_iso_code": "USA", "region": "virginia", "cloud_provider": "", "cloud_region": "", "os": "Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.36", "python_version": "3.9.21", "codecarbon_version": "2.8.2", "cpu_count": 16, "cpu_model": "Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz", "gpu_count": null, "gpu_model": null, "ram_total_size": 123.80607604980469, "tracking_mode": "machine", "on_cloud": "N", "pue": 1 }
/image
{ "dataset_name": "pyronear/pyro-sdis", "test_size": 0.2, "test_seed": 42 }
tom-b974
https://huggingface.co/spaces/tom-b974/Frugal_AI_image_2025
2025-01-21T08:59:46.050122
YOLO Smoke Detection
0.910799
0.816969
6.51671
2.405542
{ "run_id": "be5bc3f5-7077-496c-8bf8-27dd2b63c658", "duration": 144.31769002700094, "emissions": 0.0024055416770396424, "emissions_rate": 0.00001666646099923959, "cpu_power": 105, "gpu_power": 51.79600107193561, "ram_power": 5.74672794342041, "cpu_energy": 0.0042096899062750255, "gpu_energy": 0.0020766213835180097, "ram_energy": 0.00023039867037127714, "energy_consumed": 0.0065167099601643125, "country_name": "United States", "country_iso_code": "USA", "region": "virginia", "cloud_provider": "", "cloud_region": "", "os": "Linux-5.10.230-223.885.amzn2.x86_64-x86_64-with-glibc2.36", "python_version": "3.9.21", "codecarbon_version": "2.8.3", "cpu_count": 4, "cpu_model": "Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz", "gpu_count": 1, "gpu_model": "1 x Tesla T4", "ram_total_size": 15.324607849121094, "tracking_mode": "machine", "on_cloud": "N", "pue": 1 }
/image
{ "dataset_name": "pyronear/pyro-sdis", "test_size": 0.2, "test_seed": 42 }
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