task stringlengths 22 52 | category stringclasses 7
values | research_problem stringlengths 14 29 | dataset stringlengths 12 40 | metric stringclasses 9
values | metadata.yaml stringlengths 954 1.15k | project_description.md stringlengths 2.33k 26.1k | prepare.py stringlengths 3.09k 4.78k | evaluate_prepare.py stringlengths 2.18k 3.84k | evaluate.py stringlengths 1.67k 4.81k | custom_labels.py stringlengths 1.45k 5.36k ⌀ | utils.py stringclasses 5
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
CodeGenerationAPPSPassAt5 | Code | Code Generation | codeparrot/apps | Pass@5 | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
- pyext
prepare_code_python_requirements:
- pyext
logging_info:
name: CodeGenerationAPP... | # Overview
## Task Description
This is a Machine Learning project and your goal is to build a model that solves the project's TASK following the instructions provided below.
TASK: Your task is to generate five independent Python programs for each competitive-programming problem. Each program must read from standar... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_from_disk
# Configure logger with custom ... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from json import load
import os
import sys
import argparse
import logging
import shutil
from dat... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import pandas as pd
import json
from pathlib import Path
from datasets import load_from_disk
from u... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import json
import pandas as pd
from random import random
from datasets import load_from_disk
f... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import json
import multiprocessing
import numpy as np
from tqdm import tqdm
from testing_util import run_test
from concur... |
CodeRetrievalCodeXGlueMRR | Code | Code Retrieval | google/code_x_glue_tc_nl_code_search_adv | MRR | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
logging_info:
name: CodeRetrievalCodeXGlueMRR
dataset: google/code_x_glue_tc_nl_code_search_adv
category: Code
research_problem: Code... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a NLP task to perform Code retrieval on google/code_x_glue_tc_nl_code_search_adv.
## Data
### Dataset Structure
This is a retrieval task, so f... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
import re
from datasets import load_dataset, load_from_disk
# Confi... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import re
import shutil
from datasets import l... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
import torch
from datasets import loa... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from datasets import load_from_disk
import json
import pandas as pd
import os
import argparse
import re
import copy
impor... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import logging
import sys,json
import numpy as ... |
CoreferenceResolutionSuperGLUEWSCAccuracy | Text Extraction and Matching | Coreference Resolution | aps/super_glue | Accuracy | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: CoreferenceResolutionSuperGLUEWSCAccuracy
category: Text Extraction a... | # Overview
## Task Description
This is a Machine Learning project and your goal is to build a model that solves the project's TASK following the instructions provided below.
TASK: Your task is to resolve pronoun references in natural language sentences. You will be given a sentence containing an ambiguous pronoun and ... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_from_disk
# Configure logger with custom ... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from json import load
import os
import sys
import argparse
import logging
import shutil
from dat... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
from datasets import load_from_disk
... | null | null |
CoreferenceResolutionWinograndeAccuracy | Text Extraction and Matching | Coreference Resolution | allenai/winogrande | Accuracy | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: CoreferenceResolutionWinograndeAccuracy
category: Text Extraction and... | # Overview
## Task Description
This is a Machine Learning project and your goal is to build a model that solves the project's TASK following the instructions provided below.
TASK: Your task is to resolve ambiguous references in natural language sentences. You will be given a sentence containing a gap left for a possib... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_from_disk
# Configure logger with custom ... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from json import load
import os
import sys
import argparse
import logging
import shutil
from dat... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
from datasets import load_from_disk
... | null | null |
CvMolecularPropertyPredictionQm9MeanAbsoluteError | Molecules and Proteins ML | Molecular Property Prediction | nimashoghi/qm9 | MeanAbsoluteError | metric_lower_is_better: true
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: CvMolecularPropertyPredictionQm9MeanAbsoluteError
dataset: nimashoghi/... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: Your task is to predict a molecular property of small molecules which is known as the **heat capacity at constant volume (c_v)**. This is a fundamental... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json, numpy as np, pandas as pd
# Conditional torch import - might be added by ge... | null | null |
GMolecularPropertyPredictionQm9MeanAbsoluteError | Molecules and Proteins ML | Molecular Property Prediction | nimashoghi/qm9 | MeanAbsoluteError | metric_lower_is_better: true
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: GMolecularPropertyPredictionQm9MeanAbsoluteError
dataset: nimashoghi/q... | # Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: Your task is to predict a molecular property of small molecules which is known as the **Gibbs free energy (G)**. This is a fundamental thermodynamic propert... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json, numpy as np, pandas as pd
# Conditional torch import - might be added by ge... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import argparse
import pandas as pd
from datasets import load_from_disk
def main(
global_shared_data_dir,... | null |
GraphRegressionZincMae | Molecules and Proteins ML | Graph Regression | graphs-datasets/ZINC | MAE | metric_lower_is_better: true
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: GraphRegressionZincMae
dataset: graphs-datasets/ZINC
category: Molec... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a Molecules, proteins etc task to perform Graph Regression on graphs-datasets/ZINC. Your predictions will be scored against the y column of the... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import ast
import numpy as np
import pandas as pd
import torch
from datasets... | null | null |
MathQuestionAnsweringSVAMPAccuracy | Math | Math Question Answering | ChilleD/SVAMP | Accuracy | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
logging_info:
name: MathQuestionAnsweringSVAMPAccuracy
category: Math
research_problem: Math Question Answering
output_type: text-gen... | # Overview
## Task Description
This is a Machine Learning project and your goal is to build a model that solves the project's TASK following the instructions provided below.
TASK: Your task is solve math world prolems. Each example presents a short story followed by a specific question. Your task is to read the text a... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_from_disk
# Configure logger with custom ... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from json import load
import os
import sys
import argparse
import logging
import shutil
from dat... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
from datasets import load_from_disk
... | null | null |
QuestionAnsweringDuoRCAccuracy | Question Answering | Question Answering | ibm-research/duorc | Accuracy | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: QuestionAnsweringDuoRCAccuracy
category: Question Answering
researc... | # Overview
## Task Description
This is a Machine Learning project and your goal is to build a model that solves the project's TASK following the instructions provided below.
TASK: Your task is to answer questions given a large context. You will be provided a title of a story and context surrounding its plot, then will... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_from_disk
# Configure logger with custom ... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from json import load
import os
import sys
import argparse
import logging
import shutil
from dat... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
from datasets import load_from_disk
... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import numpy as np
from pathlib import Path
from datasets import load_from_disk
def parse_ar... | null |
QuestionAnsweringEli5Rouge1 | Question Answering | Question Answering | Pavithree/eli5 | Rouge1 | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- rouge_score
logging_info:
name: QuestionAnsweringEli5Rouge1
category: Question Answering
research_problem: Question Answering
dat... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a NLP task to perform QuestionAnswering on Pavithree/eli5. Your predictions will be scored against the answers column of the test set.
## Data... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json, numpy as np, pandas as pd
# Conditional torch import - might be added by ge... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from datasets import load_dataset, load_from_disk
import numpy as np
import pandas as pd
from datasets import load_f... | null |
QuestionAnsweringFinqaAccuracy | Question Answering | Question Answering | dreamerdeo/finqa | Accuracy | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: QuestionAnsweringFinqaAccuracy
dataset: dreamerdeo/finqa
category: ... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a NLP task to perform Question Answering on dreamerdeo/finqa. Your predictions will be scored against the answer column of the test set.
## Da... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
import torch
from datasets import loa... | null | null |
R2AbsMolecularPropertyPredictionQm9MeanAbsoluteError | Molecules and Proteins ML | Molecular Property Prediction | nimashoghi/qm9 | MeanAbsoluteError | metric_lower_is_better: true
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: R2AbsMolecularPropertyPredictionQm9MeanAbsoluteError
dataset: nimashog... | # Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: Your task is to predict a molecular property of small molecules which is known as the **squared spatial extent (R_2_Abs)**. This is a fundamental geometric ... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json, numpy as np, pandas as pd
# Conditional torch import - might be added by ge... | null | null |
ReadingComprehensionSquadExactMatch | Question Answering | Question Answering | rajpurkar/squad | ExactMatch | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
logging_info:
name: ReadingComprehensionSquadExactMatch
dataset: rajpurkar/squad
category: Question Answering
resear... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a NLP task to perform Reading Comprehension on rajpurkar/squad.
You will be provided with a `title`, `context` paragraph and a `question` a... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
import torch
from datasets import loa... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from datasets import load_from_disk
import json
import pandas as pd
import os
import argparse
import random
from copy imp... | null |
SentimentAnalysisYelpReviewFullAccuracy | Text Classification | Text Classification | Yelp/yelp_review_full | Accuracy | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
logging_info:
name: SentimentAnalysisYelpReviewFullAccuracy
dataset: Yelp/yelp_review_full
metric: Accuracy
additional_metrics: null
... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a NLP task to perform Sentiment Analysis on Yelp/yelp_review_full/. Your predictions will be scored against the `label` column of the test set.... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
from datasets import load_dataset, lo... | null | null |
TextualClassificationSickAccuracy | Text Classification | Textual Inference | RobZamp/sick | Accuracy | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- scikit-learn
logging_info:
name: TextualClassificationSickAccuracy
dataset: RobZamp/sick
cate... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a NLP task to perform textual-entailment on RobZamp/sick. You will be provided with a pair of sentences, `sentence_A` and `sentence_B`, and wil... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
import torch
from datasets import loa... | null | null |
TextualSimilaritySickSpearmanCorrelation | Text Extraction and Matching | Textual Similarity | RobZamp/sick | SpearmanCorrelation | metric_lower_is_better: false
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- scipy
logging_info:
name: TextualSimilaritySickSpearmanCorrelation
dataset: RobZamp/sick
cate... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a NLP task to perform textual-relatedness on RobZamp/sick. You will be provided with a pair of sentences, `sentence_A` and `sentence_B`, and wi... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
import torch
from datasets import loa... | null | null |
TimeSeriesForecastingKaggleWebTrafficMASE | Time Series | Time Series Forecasting | Monash-University/monash_tsf | MASE | metric_lower_is_better: true
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
- sktime
prepare_code_python_requirements: -sktime
logging_info:
name: TimeSeriesForecasti... |
# Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a Time Series task to perform time series forecasting (59
forecasts ahead) on Monash-University/monash_tsf. You will be provided with time ser... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
from utils import ... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json
import numpy as np
import pandas as pd
import ast
from datasets import load_... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from datasets import load_from_disk
import json
import pandas as pd
import os
import argparse
import random
from copy imp... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from copy import deepcopy
def reformat_dataset(input_dataset, output_dataset):
dataset = deepcopy(input_dataset)
... |
TimeSeriesForecastingRideshareMAE | Time Series | Time Series Forecasting | Monash-University/monash_tsf | MAE | metric_lower_is_better: true
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
- scikit-learn
logging_info:
name: TimeSeriesForecastingRideshareMAE
category: Time Seri... | # Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a Time Series task to perform time series forecasting on Monash-University/monash_tsf. You will be provided with time series data (`target`), an... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
from utils import ... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import shutil
import sys
import argparse
from datasets import load_from_disk
from utils import reformat_dataset... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import numpy as np
import pandas as pd
import ast
from datasets import... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from datasets import load_from_disk
import json
import pandas as pd
import os
import argparse
import random
from copy imp... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from datasets import Dataset
import numpy as np
def combine_lists(example):
"""Combine target (10 lists) and feat_d... |
TimeSeriesForecastingSolarWeeklyMAE | Time Series | Time Series Forecasting | Monash-University/monash_tsf | MAE | metric_lower_is_better: true
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
- scikit-learn
logging_info:
name: TimeSeriesForecastingSolarWeeklyMAE
category: Time Se... | # Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: This is a Time Series task to perform time series forecasting (5 weeks ahead) on Monash-University/monash_tsf. You will be provided with time series dat... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
from utils import ... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import numpy as np
import pandas as pd
import ast
from datasets import... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from datasets import load_from_disk
import json
import pandas as pd
import os
import argparse
import random
from copy imp... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
from datasets import Dataset
def reformat_dataset(input_split, target_split):
"""
Reformat t... |
U0MolecularPropertyPredictionQm9MeanAbsoluteError | Molecules and Proteins ML | Molecular Property Prediction | nimashoghi/qm9 | MeanAbsoluteError | metric_lower_is_better: true
file_export_globs:
- submission.csv
container_python_requirements:
- datasets==4.0.0
evaluate_container_python_requirements:
- datasets==4.0.0
- torchmetrics
- pandas
- numpy
- torch
logging_info:
name: U0MolecularPropertyPredictionQm9MeanAbsoluteError
dataset: nimashoghi/... | # Overview
## Task Description
This is a Machine Learning project and your goal is to complete the project's TASK following the instructions provided below.
TASK: Your task is to predict a molecular property of small molecules which is known as the **internal energy at 0K (U_0)**. This is a fundamental thermodynamic p... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import sys
import logging
from datasets import load_dataset, load_from_disk
# Configure logge... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import argparse
import logging
import shutil
from datasets import load_from_... | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse, json, numpy as np, pandas as pd
# Conditional torch import - might be added by ge... | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import argparse
import pandas as pd
from datasets import load_from_disk
def main(
global_shared_data_dir,... | null |
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