Datasets:

AdithyaSK
/

data_agent

task_id stringlengths 20 23	question stringlengths 43 390	answer stringlengths 1 60	reward_mode stringclasses 6 values	atol float64 0 0.5	rtol float64 0 0.01	difficulty_level int64 1 4	difficulty_tier stringclasses 3 values	kaggle_dataset stringclasses 471 values	hf_bucket stringclasses 1 value	bucket_prefix stringclasses 471 values	files listlengths 0 13	instruction stringlengths 778 1.31k	source_row_id stringlengths 26 29	package_tier int64 0 3
0000_324_324276_qa_3	What is the most common job role interest among new coders?	Web Development	flexible	0	0	1	easy	freecodecamp/2016-new-coder-survey-	AdithyaSK/jupyter-agent-kaggle-all	freecodecamp__2016-new-coder-survey-	[ "2016-FCC-New-Coders-Survey-Data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - 2016-FCC-New-Coders-Survey-Data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pi...	0000/324/324276.ipynb_qa_3	1
0000_369_369503_qa_1	What percentage of all matches have a goal difference of zero (i.e., draws)?	25.4%	flexible	0.001	0.001	2	medium	hugomathien/soccer	AdithyaSK/jupyter-agent-kaggle-all	hugomathien__soccer	[ "database.sqlite" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - database.sqlite Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ne...	0000/369/369503.ipynb_qa_1	3
0000_455_455459_qa_4	What is the error rate (as a percentage) for non-legendary Pokémon in the logistic regression model's predictions?	2	flexible	0	0	4	hard	abcsds/pokemon	AdithyaSK/jupyter-agent-kaggle-all	abcsds__pokemon	[ "Pokemon.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Pokemon.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed...	0000/455/455459.ipynb_qa_4	1
0000_465_465850_qa_5	Which species exhibits the highest average sepal length according to the aggregated dataset statistics?	virginica	flexible	0	0	2	medium	uciml/iris	AdithyaSK/jupyter-agent-kaggle-all	uciml__iris	[ "Iris.csv", "database.sqlite" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Iris.csv - database.sqlite Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install...	0000/465/465850.ipynb_qa_5	1
0000_526_526258_qa_2	How many entries are categorized into the non-NA group, edge-NA group, and interrupted group based on missing value patterns?	141205, 32568, 4824	list_csv	0	0	4	hard	marcomolina/water-consumption-in-a-median-size-city	AdithyaSK/jupyter-agent-kaggle-all	marcomolina__water-consumption-in-a-median-size-city	[ "AguaH.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - AguaH.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed)....	0000/526/526258.ipynb_qa_2	1
0000_539_539873_qa_3	Which city has the lowest crime ratio, and what is the value of this ratio?	Imperial3, 0.003403	list	0	0	3	medium	fbi-us/california-crime	AdithyaSK/jupyter-agent-kaggle-all	fbi-us__california-crime	[ "ca_offenses_by_city.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - ca_offenses_by_city.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mo...	0000/539/539873.ipynb_qa_3	0
0000_582_582934_qa_4	Which state has the lowest proportion of shootings involving individuals with signs of mental illness?	ND	flexible	0	0	3	medium	washingtonpost/police-shootings	AdithyaSK/jupyter-agent-kaggle-all	washingtonpost__police-shootings	[ "database.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - database.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0000/582/582934.ipynb_qa_4	1
0000_587_587336_qa_5	What is the percentage of total gun-related shootings in Washington state attributed to individuals with mental illness compared to those without?	45%	flexible	0	0	3	medium	washingtonpost/police-shootings	AdithyaSK/jupyter-agent-kaggle-all	washingtonpost__police-shootings	[ "database.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - database.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0000/587/587336.ipynb_qa_5	1
0000_641_641256_qa_1	Which state has the highest average effective literacy rate, and what is that rate?	Mizoram, 98.8	list_csv	0	0	3	medium	zed9941/top-500-indian-cities	AdithyaSK/jupyter-agent-kaggle-all	zed9941__top-500-indian-cities	[ "cities_r2.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - cities_r2.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0000/641/641256.ipynb_qa_1	1
0000_656_656399_qa_2	Which pair of numerical features in the dataset shows the strongest positive correlation according to the correlation analysis?	raisedhands, VisITedResources	list	0	0	3	medium	aljarah/xAPI-Edu-Data	AdithyaSK/jupyter-agent-kaggle-all	aljarah__xAPI-Edu-Data	[ "xAPI-Edu-Data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - xAPI-Edu-Data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0000/656/656399.ipynb_qa_2	1
0000_767_767688_qa_4	According to the scatter matrix analysis, which three features exhibited the highest linear correlation with each other in the dataset?	perimeter_mean, area_mean, radius_mean	list	0	0	3	medium	uciml/breast-cancer-wisconsin-data	AdithyaSK/jupyter-agent-kaggle-all	uciml__breast-cancer-wisconsin-data	[ "data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0000/767/767688.ipynb_qa_4	1
0000_780_780974_qa_4	What was the maximum number of arrests recorded at the Southwest border and in which year?	1643679 in 2000	list	0	0	2	medium	cbp/illegal-immigrants	AdithyaSK/jupyter-agent-kaggle-all	cbp__illegal-immigrants	[ "arrests.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - arrests.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed...	0000/780/780974.ipynb_qa_4	0
0000_804_804467_qa_1	Which model achieved the highest accuracy using KFold cross-validation, and what was the accuracy score?	RandomForest, 1.0	list	0	0	4	hard	uciml/mushroom-classification	AdithyaSK/jupyter-agent-kaggle-all	uciml__mushroom-classification	[ "mushrooms.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - mushrooms.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0000/804/804467.ipynb_qa_1	1
0000_804_804467_qa_3	What is the lowest RMSE value observed in the train_test_split results, and which models achieved it?	0, DecisionTree, RandomForest, SVM	list	0	0	4	hard	uciml/mushroom-classification	AdithyaSK/jupyter-agent-kaggle-all	uciml__mushroom-classification	[ "mushrooms.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - mushrooms.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0000/804/804467.ipynb_qa_3	1
0000_806_806826_qa_3	How does the number of years with above-average temperature changes from February to March compare to the number of years with below-average changes in the dataset spanning 1895-2016?	62 above, 60 below	list	0	0	3	medium	groundhogclub/groundhog-day	AdithyaSK/jupyter-agent-kaggle-all	groundhogclub__groundhog-day	[ "archive.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - archive.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed...	0000/806/806826.ipynb_qa_3	1
0000_849_849952_qa_4	Which group of Western European countries exhibited synchronized fluctuations in Christian adherents over the five decades of analysis?	Western European countries	flexible	0	0	4	hard	umichigan/world-religions	AdithyaSK/jupyter-agent-kaggle-all	umichigan__world-religions	[ "global.csv", "national.csv", "regional.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - global.csv - national.csv - regional.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotl...	0000/849/849952.ipynb_qa_4	1
0000_886_886039_qa_2	Which defender was defeated the most times in the dataset, and how many times were they defeated?	Robb Stark, 13	list	0	0	2	medium	mylesoneill/game-of-thrones	AdithyaSK/jupyter-agent-kaggle-all	mylesoneill__game-of-thrones	[ "battles.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - battles.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed...	0000/886/886039.ipynb_qa_2	1
0000_981_981197_qa_1	Which four features were identified as the top-performing predictors for diabetes classification using the chi-square ($\chi^2$) feature selection method?	Glucose, Insulin, BMI, Age	list	0	0	3	medium	uciml/pima-indians-diabetes-database	AdithyaSK/jupyter-agent-kaggle-all	uciml__pima-indians-diabetes-database	[ "diabetes.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - diabetes.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0000/981/981197.ipynb_qa_1	1
0000_982_982280_qa_2	What is the item with the highest Trans Fat content, and what is its Trans Fat value in grams?	Double Quarter Pounder with Cheese, 2.5	list	0	0	1	easy	mcdonalds/nutrition-facts	AdithyaSK/jupyter-agent-kaggle-all	mcdonalds__nutrition-facts	[ "menu.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - menu.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0000/982/982280.ipynb_qa_2	0
0000_992_992184_qa_3	What are the keys present in the loaded PETCT dataset?	ct_data, label_data, pet_data	list_csv	0	0	1	easy	4quant/soft-tissue-sarcoma	AdithyaSK/jupyter-agent-kaggle-all	4quant__soft-tissue-sarcoma	[ "lab_petct_vox_5.00mm.h5" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - lab_petct_vox_5.00mm.h5 Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mo...	0000/992/992184.ipynb_qa_3	3
0001_042_1042725_qa_5	Which two countries have the most top 100 male marathon runners after the USA in the dataset?	Kenya, Ethiopia	list	0	0	2	medium	rojour/boston-results	AdithyaSK/jupyter-agent-kaggle-all	rojour__boston-results	[ "marathon_results_2016.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - marathon_results_2016.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install ...	0001/042/1042725.ipynb_qa_5	3
0001_074_1074738_qa_1	Which U.S. state has the highest number of recorded "Murder or Manslaughter" cases, and what is the exact count of such incidents in that state?	California, 98994	list	0	0	2	medium	murderaccountability/homicide-reports	AdithyaSK/jupyter-agent-kaggle-all	murderaccountability__homicide-reports	[ "database.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - database.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0001/074/1074738.ipynb_qa_1	3
0001_074_1074738_qa_4	Which relationship category between victims and perpetrators is most prevalent in the dataset, and what percentage of homicide cases fall into this category?	Unknown, 42.76%	list	0	0	2	medium	murderaccountability/homicide-reports	AdithyaSK/jupyter-agent-kaggle-all	murderaccountability__homicide-reports	[ "database.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - database.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0001/074/1074738.ipynb_qa_4	3
0001_085_1085629_qa_2	What are the top three features according to the feature importance ranking provided by the Extra Trees Classifier?	fnlwgt, age, hours.per.week	list	0	0	4	hard	uciml/adult-census-income	AdithyaSK/jupyter-agent-kaggle-all	uciml__adult-census-income	[]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - (see /home/user/input) Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mor...	0001/085/1085629.ipynb_qa_2	0
0001_085_1085629_qa_4	What is the accuracy of the KNN model when using only the top two features from the Feature Importance ranking (fnlwgt and age) with the optimal K value?	0.762	flexible	0.001	0.005	4	hard	uciml/adult-census-income	AdithyaSK/jupyter-agent-kaggle-all	uciml__adult-census-income	[ "adult.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - adult.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed)....	0001/085/1085629.ipynb_qa_4	1
0001_090_1090499_qa_1	Which two nationalities have the highest representation in the dataset based on the analysis?	Kuwait, Jordan	list	0	0	1	easy	aljarah/xAPI-Edu-Data	AdithyaSK/jupyter-agent-kaggle-all	aljarah__xAPI-Edu-Data	[ "xAPI-Edu-Data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - xAPI-Edu-Data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0001/090/1090499.ipynb_qa_1	1
0001_133_1133625_qa_4	In which phase did BJP+ achieve the highest percentage of total votes, and what was that percentage?	Phase 1, 45.48	list	0	0	3	medium	ankit2106/uttar-pradesh-assembly-elections-2017	AdithyaSK/jupyter-agent-kaggle-all	ankit2106__uttar-pradesh-assembly-elections-2017	[ "up_res.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - up_res.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed)...	0001/133/1133625.ipynb_qa_4	1
0001_137_1137361_qa_2	What is the total number of check-ins recorded in the New York City dataset?	227428	numeric	0	0	1	easy	chetanism/foursquare-nyc-and-tokyo-checkin-dataset	AdithyaSK/jupyter-agent-kaggle-all	chetanism__foursquare-nyc-and-tokyo-checkin-dataset	[ "dataset_TSMC2014_NYC.csv", "dataset_TSMC2014_TKY.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - dataset_TSMC2014_NYC.csv - dataset_TSMC2014_TKY.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sql...	0001/137/1137361.ipynb_qa_2	1
0001_137_1137537_qa_2	What are the geographic coordinates of the closest check-in point to the convex hull centroid in New York City?	40.77607305, -73.98191214	list	0	0	4	hard	chetanism/foursquare-nyc-and-tokyo-checkin-dataset	AdithyaSK/jupyter-agent-kaggle-all	chetanism__foursquare-nyc-and-tokyo-checkin-dataset	[ "dataset_TSMC2014_NYC.csv", "dataset_TSMC2014_TKY.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - dataset_TSMC2014_NYC.csv - dataset_TSMC2014_TKY.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sql...	0001/137/1137537.ipynb_qa_2	1
0001_155_1155051_qa_5	What is the average age for customers who defaulted compared to those who did not?	Defaulters: 35.73, Non-defaulters: 35.42	list	0	0	2	medium	uciml/default-of-credit-card-clients-dataset	AdithyaSK/jupyter-agent-kaggle-all	uciml__default-of-credit-card-clients-dataset	[ "UCI_Credit_Card.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - UCI_Credit_Card.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/155/1155051.ipynb_qa_5	1
0001_155_1155264_qa_5	What is the most common instance type in the south zone identified through the analysis?	m4.large	exact_short	0	0	2	medium	noqcks/aws-spot-pricing-market	AdithyaSK/jupyter-agent-kaggle-all	noqcks__aws-spot-pricing-market	[]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - (see /home/user/input) Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mor...	0001/155/1155264.ipynb_qa_5	0
0001_160_1160639_qa_1	What is the average opening price of Nifty 50 across all recorded dates in the dataset?	7374.52	numeric	0.05	0.01	1	easy	ramamet4/nse-stocks-database	AdithyaSK/jupyter-agent-kaggle-all	ramamet4__nse-stocks-database	[ "banknifty.csv", "nifty50.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - banknifty.csv - nifty50.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip instal...	0001/160/1160639.ipynb_qa_1	1
0001_170_1170198_qa_3	After imputing missing values with the column mean, how many missing values remain in the dataset?	0	numeric	0	0	2	medium	zhangjuefei/birds-bones-and-living-habits	AdithyaSK/jupyter-agent-kaggle-all	zhangjuefei__birds-bones-and-living-habits	[ "bird.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - bird.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/170/1170198.ipynb_qa_3	1
0001_170_1170198_qa_4	What is the frequency of the most populated bin in the 'huml' histogram, and what is the bin range?	234, 9.85 to 50.865	list	0	0	2	medium	zhangjuefei/birds-bones-and-living-habits	AdithyaSK/jupyter-agent-kaggle-all	zhangjuefei__birds-bones-and-living-habits	[ "bird.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - bird.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/170/1170198.ipynb_qa_4	1
0001_173_1173665_qa_3	After normalization, what is the mean value of the 'Balance' feature?	0.3048	numeric	0.001	0.005	2	medium	filippoo/deep-learning-az-ann	AdithyaSK/jupyter-agent-kaggle-all	filippoo__deep-learning-az-ann	[ "Churn_Modelling.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Churn_Modelling.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/173/1173665.ipynb_qa_3	1
0001_173_1173665_qa_5	Which feature, 'Balance' or 'EstimatedSalary', has a higher standard deviation after normalization?	EstimatedSalary	exact_short	0	0	2	medium	filippoo/deep-learning-az-ann	AdithyaSK/jupyter-agent-kaggle-all	filippoo__deep-learning-az-ann	[ "Churn_Modelling.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Churn_Modelling.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/173/1173665.ipynb_qa_5	1
0001_175_1175291_qa_4	What is the maximum earthquake magnitude recorded in the dataset?	9.1	numeric	0.05	0.01	1	easy	usgs/earthquake-database	AdithyaSK/jupyter-agent-kaggle-all	usgs__earthquake-database	[ "database.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - database.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0001/175/1175291.ipynb_qa_4	1
0001_181_1181828_qa_4	Which model demonstrated the highest training accuracy but the lowest test accuracy in the comparison analysis?	Decision Tree	flexible	0	0	4	hard	uciml/glass	AdithyaSK/jupyter-agent-kaggle-all	uciml__glass	[ "glass.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - glass.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed)....	0001/181/1181828.ipynb_qa_4	2
0001_182_1182948_qa_1	What is the minimum recorded solar radiation value in the dataset?	1.11	numeric	0.05	0.01	1	easy	dronio/SolarEnergy	AdithyaSK/jupyter-agent-kaggle-all	dronio__SolarEnergy	[ "SolarPrediction.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - SolarPrediction.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/182/1182948.ipynb_qa_1	1
0001_188_1188925_qa_1	What is the mean age of individuals who defaulted on their credit card payments compared to those who did not?	Default: 35.73, Non-Default: 35.42	list	0	0	2	medium	uciml/default-of-credit-card-clients-dataset	AdithyaSK/jupyter-agent-kaggle-all	uciml__default-of-credit-card-clients-dataset	[ "UCI_Credit_Card.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - UCI_Credit_Card.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/188/1188925.ipynb_qa_1	2
0001_188_1188925_qa_3	What percentage of the dataset consists of credit card defaults?	22	numeric	0	0	1	easy	uciml/default-of-credit-card-clients-dataset	AdithyaSK/jupyter-agent-kaggle-all	uciml__default-of-credit-card-clients-dataset	[ "UCI_Credit_Card.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - UCI_Credit_Card.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/188/1188925.ipynb_qa_3	2
0001_189_1189227_qa_1	What percentage of the dataset represents credit card defaults?	22	numeric	0	0	2	medium	uciml/default-of-credit-card-clients-dataset	AdithyaSK/jupyter-agent-kaggle-all	uciml__default-of-credit-card-clients-dataset	[ "UCI_Credit_Card.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - UCI_Credit_Card.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/189/1189227.ipynb_qa_1	2
0001_189_1189227_qa_2	What is the mean age of credit card holders who defaulted?	35.73	numeric	0.05	0.01	2	medium	uciml/default-of-credit-card-clients-dataset	AdithyaSK/jupyter-agent-kaggle-all	uciml__default-of-credit-card-clients-dataset	[ "UCI_Credit_Card.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - UCI_Credit_Card.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/189/1189227.ipynb_qa_2	2
0001_189_1189227_qa_5	How many samples were allocated to the training set?	24000	numeric	0	0	2	medium	uciml/default-of-credit-card-clients-dataset	AdithyaSK/jupyter-agent-kaggle-all	uciml__default-of-credit-card-clients-dataset	[ "UCI_Credit_Card.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - UCI_Credit_Card.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/189/1189227.ipynb_qa_5	2
0001_191_1191057_qa_4	Which original features were removed from the dataset because they contained only a single unique value across all observations?	EmployeeCount, Over18, StandardHours	list	0	0	2	medium	pavansubhasht/ibm-hr-analytics-attrition-dataset	AdithyaSK/jupyter-agent-kaggle-all	pavansubhasht__ibm-hr-analytics-attrition-dataset	[ "WA_Fn-UseC_-HR-Employee-Attrition.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - WA_Fn-UseC_-HR-Employee-Attrition.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (...	0001/191/1191057.ipynb_qa_4	2
0001_193_1193343_qa_3	Which cuisine type is mentioned most frequently in the "fav_cuisine" column of the dataset?	italian	exact_short	0	0	2	medium	borapajo/food-choices	AdithyaSK/jupyter-agent-kaggle-all	borapajo__food-choices	[ "food_coded.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - food_coded.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if nee...	0001/193/1193343.ipynb_qa_3	3
0001_196_1196803_qa_3	What is the most common ownership type among all Starbucks stores in the dataset?	Company Owned	exact_short	0	0	1	easy	starbucks/store-locations	AdithyaSK/jupyter-agent-kaggle-all	starbucks__store-locations	[ "directory.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - directory.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0001/196/1196803.ipynb_qa_3	1
0001_197_1197721_qa_2	Which two variables exhibit the strongest positive correlation with the number of games owned in the dataset?	geek_rating, num_votes	list_csv	0	0	2	medium	mrpantherson/board-game-data	AdithyaSK/jupyter-agent-kaggle-all	mrpantherson__board-game-data	[ "bgg_db_2017_04.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - bgg_db_2017_04.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if...	0001/197/1197721.ipynb_qa_2	1
0001_202_1202888_qa_1	Which generation has the highest probability of producing a legendary Pokémon in the dataset?	Generation 3	exact_short	0	0	2	medium	abcsds/pokemon	AdithyaSK/jupyter-agent-kaggle-all	abcsds__pokemon	[ "Pokemon.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Pokemon.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed...	0001/202/1202888.ipynb_qa_1	1
0001_221_1221016_qa_1	Who is the tallest player in NBA history based on the dataset, and what is their height in centimeters?	Manute Bol, 231.0	list	0	0	1	easy	drgilermo/nba-players-stats	AdithyaSK/jupyter-agent-kaggle-all	drgilermo__nba-players-stats	[ "Players.csv", "Seasons_Stats.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Players.csv - Seasons_Stats.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip in...	0001/221/1221016.ipynb_qa_1	1
0001_231_1231918_qa_1	What percentage of McDonald's menu items contain zero sugar based on the dataset?	9.61	numeric	0.05	0.01	2	medium	mcdonalds/nutrition-facts	AdithyaSK/jupyter-agent-kaggle-all	mcdonalds__nutrition-facts	[ "menu.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - menu.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/231/1231918.ipynb_qa_1	1
0001_231_1231918_qa_2	How many menu items in the dataset have zero sugar content?	25	numeric	0	0	1	easy	mcdonalds/nutrition-facts	AdithyaSK/jupyter-agent-kaggle-all	mcdonalds__nutrition-facts	[ "menu.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - menu.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/231/1231918.ipynb_qa_2	1
0001_233_1233959_qa_2	What is the most common cap shape in the dataset based on the feature frequency analysis?	convex	exact_short	0	0	1	easy	uciml/mushroom-classification	AdithyaSK/jupyter-agent-kaggle-all	uciml__mushroom-classification	[ "mushrooms.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - mushrooms.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0001/233/1233959.ipynb_qa_2	2
0001_233_1233959_qa_5	What is the most common cap color in the dataset based on the feature frequency analysis?	brown	exact_short	0	0	1	easy	uciml/mushroom-classification	AdithyaSK/jupyter-agent-kaggle-all	uciml__mushroom-classification	[ "mushrooms.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - mushrooms.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0001/233/1233959.ipynb_qa_5	2
0001_234_1234901_qa_3	Which undergraduate major has the highest mid-career median salary, and what is that value?	Chemical Engineering, 107000	list_csv	0	0	2	medium	wsj/college-salaries	AdithyaSK/jupyter-agent-kaggle-all	wsj__college-salaries	[ "degrees-that-pay-back.csv", "salaries-by-college-type.csv", "salaries-by-region.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - degrees-that-pay-back.csv - salaries-by-college-type.csv - salaries-by-region.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-lea...	0001/234/1234901.ipynb_qa_3	0
0001_234_1234901_qa_5	Which undergraduate major has the highest starting median salary, and what is that value?	Physician Assistant, 74300	list	0	0	2	medium	wsj/college-salaries	AdithyaSK/jupyter-agent-kaggle-all	wsj__college-salaries	[ "degrees-that-pay-back.csv", "salaries-by-college-type.csv", "salaries-by-region.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - degrees-that-pay-back.csv - salaries-by-college-type.csv - salaries-by-region.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-lea...	0001/234/1234901.ipynb_qa_5	0
0001_238_1238370_qa_1	How many unique Netflix shows are present in the dataset, considering duplicate titles?	496	numeric	0	0	2	medium	chasewillden/netflix-shows	AdithyaSK/jupyter-agent-kaggle-all	chasewillden__netflix-shows	[]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Netflix Shows.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0001/238/1238370.ipynb_qa_1	0
0001_239_1239559_qa_4	How much does the average food pinching efficiency decrease from the optimal length (240mm) to the next length tested (270mm)?	1.999	numeric	0.001	0.005	2	medium	priya2908/chopsticks-1992	AdithyaSK/jupyter-agent-kaggle-all	priya2908__chopsticks-1992	[ "chopstick-effectiveness.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - chopstick-effectiveness.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip instal...	0001/239/1239559.ipynb_qa_4	0
0001_240_1240535_qa_1	What is the mean price of computers in the dataset?	2219.58	numeric	0.05	0.01	1	easy	kingburrito666/basic-computer-data-set	AdithyaSK/jupyter-agent-kaggle-all	kingburrito666__basic-computer-data-set	[ "Computers.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Computers.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0001/240/1240535.ipynb_qa_1	0
0001_243_1243037_qa_1	What percentage of individuals in the dataset have diabetes (Outcome=1)?	34.90	numeric	0.05	0.01	1	easy	uciml/pima-indians-diabetes-database	AdithyaSK/jupyter-agent-kaggle-all	uciml__pima-indians-diabetes-database	[ "diabetes.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - diabetes.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0001/243/1243037.ipynb_qa_1	1
0001_243_1243037_qa_2	Which feature exhibits the strongest positive correlation with the Outcome variable (diabetes status)?	Glucose	exact_short	0	0	2	medium	uciml/pima-indians-diabetes-database	AdithyaSK/jupyter-agent-kaggle-all	uciml__pima-indians-diabetes-database	[ "diabetes.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - diabetes.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0001/243/1243037.ipynb_qa_2	1
0001_244_1244861_qa_4	What was the average family score in 2015 compared to 2016?	0.9910, 0.7936	list	0	0	2	medium	unsdsn/world-happiness	AdithyaSK/jupyter-agent-kaggle-all	unsdsn__world-happiness	[ "2015.csv", "2016.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - 2015.csv - 2016.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/244/1244861.ipynb_qa_4	1
0001_247_1247152_qa_1	Which U.S. state has the highest number of breweries based on the dataset analysis?	Colorado	exact_short	0	0	2	medium	nickhould/craft-cans	AdithyaSK/jupyter-agent-kaggle-all	nickhould__craft-cans	[ "beers.csv", "breweries.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - beers.csv - breweries.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install ...	0001/247/1247152.ipynb_qa_1	0
0001_250_1250826_qa_3	What is the average salary of users who use both R and Python compared to those who use neither language?	63584.37, 54166.61	list	0	0	3	medium	stackoverflow/so-survey-2017	AdithyaSK/jupyter-agent-kaggle-all	stackoverflow__so-survey-2017	[ "survey_results_public.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - survey_results_public.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install ...	0001/250/1250826.ipynb_qa_3	1
0001_257_1257061_qa_1	What is the skewness of the original SalePrice distribution before any transformation?	4.024069	numeric	0.001	0.005	1	easy	harlfoxem/housesalesprediction	AdithyaSK/jupyter-agent-kaggle-all	harlfoxem__housesalesprediction	[ "kc_house_data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - kc_house_data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0001/257/1257061.ipynb_qa_1	1
0001_257_1257061_qa_2	Which feature has the highest absolute correlation with SalePrice, and what is the magnitude of that correlation?	sqft_living with 0.7	flexible	0	0	2	medium	harlfoxem/housesalesprediction	AdithyaSK/jupyter-agent-kaggle-all	harlfoxem__housesalesprediction	[ "kc_house_data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - kc_house_data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0001/257/1257061.ipynb_qa_2	1
0001_257_1257061_qa_3	What transformation was applied to the SalePrice and sqft_living features to achieve a more normal distribution?	log transformation	exact_short	0	0	2	medium	harlfoxem/housesalesprediction	AdithyaSK/jupyter-agent-kaggle-all	harlfoxem__housesalesprediction	[ "kc_house_data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - kc_house_data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0001/257/1257061.ipynb_qa_3	1
0001_257_1257756_qa_1	What is the average percentage of matches won by the home team across all seasons in the dataset?	51.16	flexible	0.05	0.01	2	medium	ricardomoya/football-matches-of-spanish-league	AdithyaSK/jupyter-agent-kaggle-all	ricardomoya__football-matches-of-spanish-league	[ "FMEL_Dataset.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - FMEL_Dataset.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if n...	0001/257/1257756.ipynb_qa_1	1
0001_257_1257756_qa_2	Which team has the highest number of home wins in the dataset?	Real Madrid	exact_short	0	0	2	medium	ricardomoya/football-matches-of-spanish-league	AdithyaSK/jupyter-agent-kaggle-all	ricardomoya__football-matches-of-spanish-league	[ "FMEL_Dataset.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - FMEL_Dataset.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if n...	0001/257/1257756.ipynb_qa_2	1
0001_257_1257756_qa_3	What is the average total number of goals scored per match in the dataset (local + visitor goals)?	2.45	numeric	0.05	0.01	2	medium	ricardomoya/football-matches-of-spanish-league	AdithyaSK/jupyter-agent-kaggle-all	ricardomoya__football-matches-of-spanish-league	[ "FMEL_Dataset.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - FMEL_Dataset.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if n...	0001/257/1257756.ipynb_qa_3	1
0001_261_1261978_qa_5	Which chopstick length has the lowest mean food pinching efficiency based on the dataset analysis?	330	numeric	0	0	2	medium	priya2908/chopsticks-1992	AdithyaSK/jupyter-agent-kaggle-all	priya2908__chopsticks-1992	[]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - (see /home/user/input) Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mor...	0001/261/1261978.ipynb_qa_5	0
0001_262_1262014_qa_4	How many of the female-on-female homicides had the weapon listed as unknown?	1507	numeric	0	0	2	medium	murderaccountability/homicide-reports	AdithyaSK/jupyter-agent-kaggle-all	murderaccountability__homicide-reports	[ "database.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - database.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if neede...	0001/262/1262014.ipynb_qa_4	1
0001_272_1272652_qa_1	What is the total length of the first six chromosomes listed in the dataset?	110357861	numeric	0	0	2	medium	mylesoneill/drosophila-melanogaster-genome	AdithyaSK/jupyter-agent-kaggle-all	mylesoneill__drosophila-melanogaster-genome	[ "genome.fa", "genes-augustus.csv", "genes-genscan.csv", "genes-ensembl.csv", "genes-refseq.csv", "genes-xeno-refseq.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - genome.fa - genes-augustus.csv - genes-genscan.csv - genes-ensembl.csv - genes-refseq.csv - genes-xeno-refseq.csv Installed: pandas, numpy, matplo...	0001/272/1272652.ipynb_qa_1	3
0001_273_1273208_qa_1	What percentage of the original dataset consists of fraudulent transactions (Class 1)?	0.1727485630620034	numeric	0.001	0.005	1	easy	mlg-ulb/creditcardfraud	AdithyaSK/jupyter-agent-kaggle-all	mlg-ulb__creditcardfraud	[ "creditcard.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - creditcard.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if nee...	0001/273/1273208.ipynb_qa_1	1
0001_273_1273208_qa_2	After undersampling, how many total rows are present in the balanced dataset?	984	numeric	0	0	2	medium	mlg-ulb/creditcardfraud	AdithyaSK/jupyter-agent-kaggle-all	mlg-ulb__creditcardfraud	[]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - (see /home/user/input) Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mor...	0001/273/1273208.ipynb_qa_2	0
0001_275_1275171_qa_3	How many Indian states have more than 100 cities listed in the dataset based on the analysis?	10	numeric	0	0	2	medium	okfn/world-cities	AdithyaSK/jupyter-agent-kaggle-all	okfn__world-cities	[ "world-cities.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - world-cities.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if n...	0001/275/1275171.ipynb_qa_3	1
0001_275_1275171_qa_4	What is the total number of cities listed for India in the dataset according to the filtered data?	2443	numeric	0	0	2	medium	okfn/world-cities	AdithyaSK/jupyter-agent-kaggle-all	okfn__world-cities	[ "world-cities.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - world-cities.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if n...	0001/275/1275171.ipynb_qa_4	1
0001_277_1277058_qa_1	How many unique countries are represented in the dataset?	1	numeric	0	0	1	easy	govlab/open-data-500-companies	AdithyaSK/jupyter-agent-kaggle-all	govlab__open-data-500-companies	[ "us_companies.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - us_companies.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if n...	0001/277/1277058.ipynb_qa_1	1
0001_277_1277058_qa_2	Which year had the highest number of companies founded, and how many companies were founded that year?	2011, 51	list	0	0	1	easy	govlab/open-data-500-companies	AdithyaSK/jupyter-agent-kaggle-all	govlab__open-data-500-companies	[ "us_companies.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - us_companies.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if n...	0001/277/1277058.ipynb_qa_2	1
0001_277_1277058_qa_5	Which year had the second-highest number of companies founded, and how many companies were founded that year?	2010 and 50	exact_short	0.001	0.001	2	medium	govlab/open-data-500-companies	AdithyaSK/jupyter-agent-kaggle-all	govlab__open-data-500-companies	[ "us_companies.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - us_companies.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if n...	0001/277/1277058.ipynb_qa_5	1
0001_282_1282413_qa_5	What percentage of matches in the English Premier League ended in draws according to the analysis?	25.76	numeric	0.05	0.01	2	medium	hugomathien/soccer	AdithyaSK/jupyter-agent-kaggle-all	hugomathien__soccer	[ "database.sqlite" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - database.sqlite Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ne...	0001/282/1282413.ipynb_qa_5	1
0001_289_1289812_qa_4	How many Netflix shows in the dataset contain missing values in at least one column?	426	numeric	0	0	2	medium	chasewillden/netflix-shows	AdithyaSK/jupyter-agent-kaggle-all	chasewillden__netflix-shows	[]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Netflix Shows.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0001/289/1289812.ipynb_qa_4	1
0001_293_1293142_qa_5	What is the correlation coefficient between the sqft_living feature and the log-transformed price variable in the dataset?	0.70	numeric	0.05	0.01	2	medium	harlfoxem/housesalesprediction	AdithyaSK/jupyter-agent-kaggle-all	harlfoxem__housesalesprediction	[ "kc_house_data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - kc_house_data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0001/293/1293142.ipynb_qa_5	1
0001_312_1312239_qa_2	Which region has the highest average Happiness Score when grouping by geographic regions?	Australia and New Zealand	exact_short	0	0	2	medium	unsdsn/world-happiness	AdithyaSK/jupyter-agent-kaggle-all	unsdsn__world-happiness	[ "2015.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - 2015.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/312/1312239.ipynb_qa_2	1
0001_315_1315610_qa_2	After MinMax scaling, what is the range (maximum value minus minimum value) of the SepalWidthCm feature?	1.0	numeric	0.05	0.01	2	medium	uciml/iris	AdithyaSK/jupyter-agent-kaggle-all	uciml__iris	[ "Iris.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Iris.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/315/1315610.ipynb_qa_2	1
0001_323_1323152_qa_1	Which movie generated the highest revenue in the dataset, and what was the exact revenue amount?	Star Wars: Episode VII - The Force Awakens, 936.63	list	0	0	1	easy	PromptCloudHQ/imdb-data	AdithyaSK/jupyter-agent-kaggle-all	PromptCloudHQ__imdb-data	[ "IMDB-Movie-Data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - IMDB-Movie-Data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more i...	0001/323/1323152.ipynb_qa_1	1
0001_325_1325110_qa_5	How many distinct latitude-based groups were created based on the arbitrary thresholds defined in the analysis?	4	numeric	0	0	2	medium	harlfoxem/housesalesprediction	AdithyaSK/jupyter-agent-kaggle-all	harlfoxem__housesalesprediction	[ "kc_house_data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - kc_house_data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if ...	0001/325/1325110.ipynb_qa_5	1
0001_330_1330281_qa_3	What is the base shot success rate across all shots in the dataset, regardless of contextual factors?	45.2139	numeric	0.001	0.005	1	easy	dansbecker/nba-shot-logs	AdithyaSK/jupyter-agent-kaggle-all	dansbecker__nba-shot-logs	[ "shot_logs.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - shot_logs.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0001/330/1330281.ipynb_qa_3	1
0001_330_1330281_qa_4	How does the 1st period’s shot success rate compare to the 4th period’s shot success rate during regulation?	1st period 46.0528%, 4th period 44.0099%	list	0	0	2	medium	dansbecker/nba-shot-logs	AdithyaSK/jupyter-agent-kaggle-all	dansbecker__nba-shot-logs	[ "shot_logs.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - shot_logs.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0001/330/1330281.ipynb_qa_4	1
0001_341_1341821_qa_1	What is the most common dual-type Pokémon combination across all generations, and what is its total count?	Normal/Flying, 24	list	0	0	2	medium	abcsds/pokemon	AdithyaSK/jupyter-agent-kaggle-all	abcsds__pokemon	[ "Pokemon.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Pokemon.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed...	0001/341/1341821.ipynb_qa_1	3
0001_349_1349978_qa_4	How many categorical features were originally present in the mushroom dataset before numerical encoding?	23	numeric	0	0	1	easy	uciml/mushroom-classification	AdithyaSK/jupyter-agent-kaggle-all	uciml__mushroom-classification	[ "mushrooms.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - mushrooms.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0001/349/1349978.ipynb_qa_4	2
0001_351_1351211_qa_2	What is the most common degree of endangerment among languages in the dataset?	Definitely endangered	exact_short	0	0	1	easy	the-guardian/extinct-languages	AdithyaSK/jupyter-agent-kaggle-all	the-guardian__extinct-languages	[ "data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/351/1351211.ipynb_qa_2	1
0001_352_1352372_qa_1	Which year had the highest number of celebrity deaths based on the dataset?	2016	numeric	0	0	1	easy	hugodarwood/celebrity-deaths	AdithyaSK/jupyter-agent-kaggle-all	hugodarwood__celebrity-deaths	[ "celebrity_deaths_4.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - celebrity_deaths_4.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mor...	0001/352/1352372.ipynb_qa_1	1
0001_352_1352372_qa_5	How many celebrities in the dataset died as a result of accidents?	141	numeric	0	0	2	medium	hugodarwood/celebrity-deaths	AdithyaSK/jupyter-agent-kaggle-all	hugodarwood__celebrity-deaths	[ "celebrity_deaths_4.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - celebrity_deaths_4.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mor...	0001/352/1352372.ipynb_qa_5	1
0001_353_1353632_qa_3	What is the difference between the number of "run" samples collected on the left wrist versus "walk" samples on the same wrist?	5086	numeric	0	0	2	medium	vmalyi/run-or-walk	AdithyaSK/jupyter-agent-kaggle-all	vmalyi__run-or-walk	[ "dataset.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - dataset.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed...	0001/353/1353632.ipynb_qa_3	1
0001_353_1353930_qa_1	Which language in the dataset has the highest number of speakers, and what is its speaker count?	South Italian, 7500000	list	0	0	2	medium	the-guardian/extinct-languages	AdithyaSK/jupyter-agent-kaggle-all	the-guardian__extinct-languages	[ "data.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/353/1353930.ipynb_qa_1	1
0001_354_1354131_qa_1	Is the distribution of species in the Iris dataset balanced across all classes?	yes	exact_bool	0	0	1	easy	uciml/iris	AdithyaSK/jupyter-agent-kaggle-all	uciml__iris	[ "Iris.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - Iris.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). ...	0001/354/1354131.ipynb_qa_1	1
0001_361_1361614_qa_1	Which Indian city has the highest temperature difference between its maximum and minimum recorded temperatures in the dataset?	New Delhi	flexible	0	0	3	medium	berkeleyearth/climate-change-earth-surface-temperature-data	AdithyaSK/jupyter-agent-kaggle-all	berkeleyearth__climate-change-earth-surface-temperature-data	[ "GlobalLandTemperaturesByMajorCity.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - GlobalLandTemperaturesByMajorCity.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (...	0001/361/1361614.ipynb_qa_1	1
0001_364_1364936_qa_3	Which movie has the lowest total count of entries in the dataset?	Kill Bill: Vol. 2	exact_short	0	0	1	easy	fivethirtyeight/cuss-words-and-deaths-in-quentin-tarantino-films	AdithyaSK/jupyter-agent-kaggle-all	fivethirtyeight__cuss-words-and-deaths-in-quentin-tarantino-films	[]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - (see /home/user/input) Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install mor...	0001/364/1364936.ipynb_qa_3	0
0001_364_1364936_qa_4	How many movies in the dataset were released after the year 2004?	2	numeric	0	0	2	medium	fivethirtyeight/cuss-words-and-deaths-in-quentin-tarantino-films	AdithyaSK/jupyter-agent-kaggle-all	fivethirtyeight__cuss-words-and-deaths-in-quentin-tarantino-films	[ "tarantino.csv" ]	You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - tarantino.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if need...	0001/364/1364936.ipynb_qa_4	1

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data_agent

Plain, Harbor-free version of the data-analysis agent tasks — usable directly via load_dataset. Splits: train 5000, test 250, eval 144. Deterministic grading, no LLM judge.

Columns

task_id, source_row_id — ids
question — the question to answer
answer — gold answer; reward_mode (numeric/exact_short/exact_bool/list/list_csv/flexible), atol/rtol — how to grade
difficulty_level (1-5), difficulty_tier (easy/medium/hard)
kaggle_dataset — source Kaggle dataset
hf_bucket, bucket_prefix — where the input files live on the HF Hub (fetch without Harbor)
files — input filenames; instruction — the full agent prompt
package_tier

Usage

from datasets import load_dataset
ds = load_dataset("AdithyaSK/data_agent", split="train")
row = ds[0]
print(row["question"], row["answer"], row["reward_mode"])

Getting the data files (no Harbor needed)

Files live in the HF bucket hf_bucket under bucket_prefix/:

from huggingface_hub import HfApi
api = HfApi()
api.snapshot_download(repo_id=row["hf_bucket"], repo_type="dataset",
                      allow_patterns=f"{row['bucket_prefix']}/*", local_dir="input")

Grading (deterministic, no LLM)

Use the bundled grader.py:

from grader import grade
r = grade(row["answer"], my_prediction, reward_mode=row["reward_mode"],
          abs_tol=row["atol"], rel_tol=row["rtol"])
print(r.reward)  # 1.0 if correct

Tiers: exact -> numeric(atol/rtol) -> list/percent normalization -> symbolic (math-verify).

Companion datasets

Harbor task suites (to run as environments via OpenEnv): AdithyaSK/data_agent_harbor_{train,test,eval}
SFT traces: AdithyaSK/data_agent_harbor_train_sft

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