Hugging Face's logo

Datasets:
asingh15
/
openml-eval-qwen3-4b-instruct

Modalities:
Tabular
Text
Formats:
parquet
Size:
10K - 100K
Libraries:
Datasets
Dask
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
prompt
string
generated_answer
string
uid
int64
orig_metric
string
sklearn_metric
string
dataset_name
string
dataset_description
string
dataset_features
string
task_description
string
task_name
string
attribute_names
list
categorical_indicator
list
__index_level_0__
int64
file_name
string
chat_template_prompt
string
# Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Modal for training....
```python import os os.environ.setdefault("MPLCONFIGDIR", "/tmp/mpl") # matplotlib cache on ephemeral fs os.environ.setdefault("XLA_PYTHON_CLIENT_ALLOCATOR", "platform") # reduce OOM import datasets import modal import numpy as np import pandas as pd import sklearn.metrics from sklearn.base import BaseEstimator from...
145,966
precision
precision_score
mfeat-zernike
**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998 **Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) **Multiple Features Dataset: Zernike** One of a set of 6 d...
{0: [0 - att1 (numeric)], 1: [1 - att2 (numeric)], 2: [2 - att3 (numeric)], 3: [3 - att4 (numeric)], 4: [4 - att5 (numeric)], 5: [5 - att6 (numeric)], 6: [6 - att7 (numeric)], 7: [7 - att8 (numeric)], 8: [8 - att9 (numeric)], 9: [9 - att10 (numeric)], 10: [10 - att11 (numeric)], 11: [11 - att12 (numeric)], ...
{'MajorityClassSize': 200.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 200.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 48.0, 'NumberOfInstances': 2000.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 47.0, 'NumberOfSymbolicFeatures': 1.0...
mfeat-zernike
[ "att1", "att2", "att3", "att4", "att5", "att6", "att7", "att8", "att9", "att10", "att11", "att12", "att13", "att14", "att15", "att16", "att17", "att18", "att19", "att20", "att21", "att22", "att23", "att24", "att25", "att26", "att27", "att28", "att29", "att30...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
2,575
performance_145966_evalFOO_VLLM_task0_seed0.txt
<|im_start|>user # Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Mo...
# Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Modal for training....
```python import os os.environ.setdefault("MPLCONFIGDIR", "/tmp/mpl") # matplotlib cache on ephemeral fs os.environ.setdefault("XLA_PYTHON_CLIENT_ALLOCATOR", "platform") # reduce OOM import datasets import modal import numpy as np import pandas as pd import sklearn.metrics from sklearn.base import BaseEstimator from...
145,966
precision
precision_score
mfeat-zernike
**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998 **Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) **Multiple Features Dataset: Zernike** One of a set of 6 d...
{0: [0 - att1 (numeric)], 1: [1 - att2 (numeric)], 2: [2 - att3 (numeric)], 3: [3 - att4 (numeric)], 4: [4 - att5 (numeric)], 5: [5 - att6 (numeric)], 6: [6 - att7 (numeric)], 7: [7 - att8 (numeric)], 8: [8 - att9 (numeric)], 9: [9 - att10 (numeric)], 10: [10 - att11 (numeric)], 11: [11 - att12 (numeric)], ...
{'MajorityClassSize': 200.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 200.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 48.0, 'NumberOfInstances': 2000.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 47.0, 'NumberOfSymbolicFeatures': 1.0...
mfeat-zernike
[ "att1", "att2", "att3", "att4", "att5", "att6", "att7", "att8", "att9", "att10", "att11", "att12", "att13", "att14", "att15", "att16", "att17", "att18", "att19", "att20", "att21", "att22", "att23", "att24", "att25", "att26", "att27", "att28", "att29", "att30...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
2,575
performance_145966_evalFOO_VLLM_task0_seed1.txt
<|im_start|>user # Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Mo...
# Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Modal for training....
```python import os os.environ.setdefault("MPLCONFIGDIR", "/tmp/mpl") # matplotlib cache on ephemeral fs os.environ.setdefault("XLA_PYTHON_CLIENT_ALLOCATOR", "platform") # reduce OOM import datasets import modal import numpy as np import pandas as pd import sklearn.metrics from sklearn.base import BaseEstimator from...
145,966
precision
precision_score
mfeat-zernike
**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998 **Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) **Multiple Features Dataset: Zernike** One of a set of 6 d...
{0: [0 - att1 (numeric)], 1: [1 - att2 (numeric)], 2: [2 - att3 (numeric)], 3: [3 - att4 (numeric)], 4: [4 - att5 (numeric)], 5: [5 - att6 (numeric)], 6: [6 - att7 (numeric)], 7: [7 - att8 (numeric)], 8: [8 - att9 (numeric)], 9: [9 - att10 (numeric)], 10: [10 - att11 (numeric)], 11: [11 - att12 (numeric)], ...
{'MajorityClassSize': 200.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 200.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 48.0, 'NumberOfInstances': 2000.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 47.0, 'NumberOfSymbolicFeatures': 1.0...
mfeat-zernike
[ "att1", "att2", "att3", "att4", "att5", "att6", "att7", "att8", "att9", "att10", "att11", "att12", "att13", "att14", "att15", "att16", "att17", "att18", "att19", "att20", "att21", "att22", "att23", "att24", "att25", "att26", "att27", "att28", "att29", "att30...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
2,575
performance_145966_evalFOO_VLLM_task0_seed2.txt
<|im_start|>user # Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Mo...
# Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Modal for training....
```python import os os.environ.setdefault("MPLCONFIGDIR", "/tmp/mpl") # matplotlib cache on ephemeral fs os.environ.setdefault("XLA_PYTHON_CLIENT_ALLOCATOR", "platform") # reduce OOM import datasets import modal import numpy as np import pandas as pd import sklearn.metrics from sklearn.base import BaseEstimator from...
145,966
precision
precision_score
mfeat-zernike
**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998 **Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) **Multiple Features Dataset: Zernike** One of a set of 6 d...
{0: [0 - att1 (numeric)], 1: [1 - att2 (numeric)], 2: [2 - att3 (numeric)], 3: [3 - att4 (numeric)], 4: [4 - att5 (numeric)], 5: [5 - att6 (numeric)], 6: [6 - att7 (numeric)], 7: [7 - att8 (numeric)], 8: [8 - att9 (numeric)], 9: [9 - att10 (numeric)], 10: [10 - att11 (numeric)], 11: [11 - att12 (numeric)], ...
{'MajorityClassSize': 200.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 200.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 48.0, 'NumberOfInstances': 2000.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 47.0, 'NumberOfSymbolicFeatures': 1.0...
mfeat-zernike
[ "att1", "att2", "att3", "att4", "att5", "att6", "att7", "att8", "att9", "att10", "att11", "att12", "att13", "att14", "att15", "att16", "att17", "att18", "att19", "att20", "att21", "att22", "att23", "att24", "att25", "att26", "att27", "att28", "att29", "att30...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
2,575
performance_145966_evalFOO_VLLM_task0_seed3.txt
<|im_start|>user # Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Mo...
# Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Modal for training....
```python import os os.environ.setdefault("MPLCONFIGDIR", "/tmp/mpl") # matplotlib cache on ephemeral fs os.environ.setdefault("XLA_PYTHON_CLIENT_ALLOCATOR", "platform") # reduce OOM import datasets import modal import numpy as np import sklearn.metrics import pandas as pd from sklearn.base import BaseEstimator from...
145,966
precision
precision_score
mfeat-zernike
**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998 **Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) **Multiple Features Dataset: Zernike** One of a set of 6 d...
{0: [0 - att1 (numeric)], 1: [1 - att2 (numeric)], 2: [2 - att3 (numeric)], 3: [3 - att4 (numeric)], 4: [4 - att5 (numeric)], 5: [5 - att6 (numeric)], 6: [6 - att7 (numeric)], 7: [7 - att8 (numeric)], 8: [8 - att9 (numeric)], 9: [9 - att10 (numeric)], 10: [10 - att11 (numeric)], 11: [11 - att12 (numeric)], ...
{'MajorityClassSize': 200.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 200.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 48.0, 'NumberOfInstances': 2000.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 47.0, 'NumberOfSymbolicFeatures': 1.0...
mfeat-zernike
[ "att1", "att2", "att3", "att4", "att5", "att6", "att7", "att8", "att9", "att10", "att11", "att12", "att13", "att14", "att15", "att16", "att17", "att18", "att19", "att20", "att21", "att22", "att23", "att24", "att25", "att26", "att27", "att28", "att29", "att30...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
2,575
performance_145966_evalFOO_VLLM_task0_seed4.txt
<|im_start|>user # Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Mo...
# Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Modal for training....
```python import os os.environ.setdefault("MPLCONFIGDIR", "/tmp/mpl") # matplotlib cache on ephemeral fs os.environ.setdefault("XLA_PYTHON_CLIENT_ALLOCATOR", "platform") # reduce OOM import datasets import modal import numpy as np import pandas as pd import sklearn.metrics from sklearn.base import BaseEstimator from...
145,966
precision
precision_score
mfeat-zernike
**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology **Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998 **Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) **Multiple Features Dataset: Zernike** One of a set of 6 d...
{0: [0 - att1 (numeric)], 1: [1 - att2 (numeric)], 2: [2 - att3 (numeric)], 3: [3 - att4 (numeric)], 4: [4 - att5 (numeric)], 5: [5 - att6 (numeric)], 6: [6 - att7 (numeric)], 7: [7 - att8 (numeric)], 8: [8 - att9 (numeric)], 9: [9 - att10 (numeric)], 10: [10 - att11 (numeric)], 11: [11 - att12 (numeric)], ...
{'MajorityClassSize': 200.0, 'MaxNominalAttDistinctValues': 10.0, 'MinorityClassSize': 200.0, 'NumberOfClasses': 10.0, 'NumberOfFeatures': 48.0, 'NumberOfInstances': 2000.0, 'NumberOfInstancesWithMissingValues': 0.0, 'NumberOfMissingValues': 0.0, 'NumberOfNumericFeatures': 47.0, 'NumberOfSymbolicFeatures': 1.0...
mfeat-zernike
[ "att1", "att2", "att3", "att4", "att5", "att6", "att7", "att8", "att9", "att10", "att11", "att12", "att13", "att14", "att15", "att16", "att17", "att18", "att19", "att20", "att21", "att22", "att23", "att24", "att25", "att26", "att27", "att28", "att29", "att30...
[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...
2,575
performance_145966_evalFOO_VLLM_task0_seed5.txt
<|im_start|>user # Role You are an ML Engineer tasked with delivering an optimal solution for a regression or classification problem. You will receive a dataset and are expected to develop code that achieves the best possible performance using a specified scikit-learn metric. You have access to a single A10G GPU via Mo...
"# Role\nYou are an ML Engineer tasked with delivering an optimal solution for a regression or class(...TRUNCATED)
"```python\nimport os\nos.environ.setdefault(\"MPLCONFIGDIR\", \"/tmp/mpl\") # matplotlib cache on (...TRUNCATED)
145,966
precision
precision_score
mfeat-zernike
"**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology \n**So(...TRUNCATED)
"{0: [0 - att1 (numeric)],\n 1: [1 - att2 (numeric)],\n 2: [2 - att3 (numeric)],\n 3: [3 - att4 (num(...TRUNCATED)
"{'MajorityClassSize': 200.0,\n 'MaxNominalAttDistinctValues': 10.0,\n 'MinorityClassSize': 200.0,\n(...TRUNCATED)
mfeat-zernike
["att1","att2","att3","att4","att5","att6","att7","att8","att9","att10","att11","att12","att13","att(...TRUNCATED)
[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED)
2,575
performance_145966_evalFOO_VLLM_task0_seed6.txt
"<|im_start|>user\n# Role\nYou are an ML Engineer tasked with delivering an optimal solution for a r(...TRUNCATED)
"# Role\nYou are an ML Engineer tasked with delivering an optimal solution for a regression or class(...TRUNCATED)
"```python\nimport os\nos.environ.setdefault(\"MPLCONFIGDIR\", \"/tmp/mpl\") # matplotlib cache on (...TRUNCATED)
145,966
precision
precision_score
mfeat-zernike
"**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology \n**So(...TRUNCATED)
"{0: [0 - att1 (numeric)],\n 1: [1 - att2 (numeric)],\n 2: [2 - att3 (numeric)],\n 3: [3 - att4 (num(...TRUNCATED)
"{'MajorityClassSize': 200.0,\n 'MaxNominalAttDistinctValues': 10.0,\n 'MinorityClassSize': 200.0,\n(...TRUNCATED)
mfeat-zernike
["att1","att2","att3","att4","att5","att6","att7","att8","att9","att10","att11","att12","att13","att(...TRUNCATED)
[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED)
2,575
performance_145966_evalFOO_VLLM_task0_seed7.txt
"<|im_start|>user\n# Role\nYou are an ML Engineer tasked with delivering an optimal solution for a r(...TRUNCATED)
"# Role\nYou are an ML Engineer tasked with delivering an optimal solution for a regression or class(...TRUNCATED)
"```python\nimport os\nos.environ.setdefault(\"MPLCONFIGDIR\", \"/tmp/mpl\") # matplotlib cache on (...TRUNCATED)
145,966
precision
precision_score
mfeat-zernike
"**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology \n**So(...TRUNCATED)
"{0: [0 - att1 (numeric)],\n 1: [1 - att2 (numeric)],\n 2: [2 - att3 (numeric)],\n 3: [3 - att4 (num(...TRUNCATED)
"{'MajorityClassSize': 200.0,\n 'MaxNominalAttDistinctValues': 10.0,\n 'MinorityClassSize': 200.0,\n(...TRUNCATED)
mfeat-zernike
["att1","att2","att3","att4","att5","att6","att7","att8","att9","att10","att11","att12","att13","att(...TRUNCATED)
[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED)
2,575
performance_145966_evalFOO_VLLM_task0_seed8.txt
"<|im_start|>user\n# Role\nYou are an ML Engineer tasked with delivering an optimal solution for a r(...TRUNCATED)
"# Role\nYou are an ML Engineer tasked with delivering an optimal solution for a regression or class(...TRUNCATED)
"```python\nimport os\nos.environ.setdefault(\"MPLCONFIGDIR\", \"/tmp/mpl\") # matplotlib cache on (...TRUNCATED)
145,966
precision
precision_score
mfeat-zernike
"**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology \n**So(...TRUNCATED)
"{0: [0 - att1 (numeric)],\n 1: [1 - att2 (numeric)],\n 2: [2 - att3 (numeric)],\n 3: [3 - att4 (num(...TRUNCATED)
"{'MajorityClassSize': 200.0,\n 'MaxNominalAttDistinctValues': 10.0,\n 'MinorityClassSize': 200.0,\n(...TRUNCATED)
mfeat-zernike
["att1","att2","att3","att4","att5","att6","att7","att8","att9","att10","att11","att12","att13","att(...TRUNCATED)
[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED)
2,575
performance_145966_evalFOO_VLLM_task0_seed9.txt
"<|im_start|>user\n# Role\nYou are an ML Engineer tasked with delivering an optimal solution for a r(...TRUNCATED)
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
2
Number of rows:
39,952
Total file size:
422 MB