metadata
license: cc-by-nc-nd-4.0
language:
- en
pretty_name: TempusBench (tasks subset)
configs:
- config_name: advertising_sales_covariate
data_files:
- split: train
path: >-
task_data/covariate/advertising_sales_covariate/advertising_sales_covariate.csv
- config_name: building_manufacturing_covariate
data_files:
- split: train
path: >-
task_data/covariate/building_manufacturing_covariate/building_manufacturing_covariate.csv
- config_name: california_energy_covariate
data_files:
- split: train
path: >-
task_data/covariate/california_energy_covariate/california_energy_covariate.csv
- config_name: california_hourly_covariate
data_files:
- split: train
path: >-
task_data/covariate/california_hourly_covariate/california_hourly_covariate.csv
- config_name: currency_dense_covariate
data_files:
- split: train
path: >-
task_data/covariate/currency_dense_covariate/currency_dense_covariate.csv
- config_name: currency_monthly_covariate
data_files:
- split: train
path: >-
task_data/covariate/currency_monthly_covariate/currency_monthly_covariate.csv
- config_name: cybersecurity_count_covariate
data_files:
- split: train
path: >-
task_data/covariate/cybersecurity_count_covariate/cybersecurity_count_covariate.csv
- config_name: cybersecurity_software_covariate
data_files:
- split: train
path: >-
task_data/covariate/cybersecurity_software_covariate/cybersecurity_software_covariate.csv
- config_name: gdp_noisy_covariate
data_files:
- split: train
path: task_data/covariate/gdp_noisy_covariate/gdp_noisy_covariate.csv
- config_name: gdp_years_covariate
data_files:
- split: train
path: task_data/covariate/gdp_years_covariate/gdp_years_covariate.csv
- config_name: mobility_transport_covariate
data_files:
- split: train
path: >-
task_data/covariate/mobility_transport_covariate/mobility_transport_covariate.csv
- config_name: nifty_longest_covariate
data_files:
- split: train
path: >-
task_data/covariate/nifty_longest_covariate/nifty_longest_covariate.csv
- config_name: nifty_minutes_covariate
data_files:
- split: train
path: >-
task_data/covariate/nifty_minutes_covariate/nifty_minutes_covariate.csv
- config_name: nifty_nonstationary_covariate
data_files:
- split: train
path: >-
task_data/covariate/nifty_nonstationary_covariate/nifty_nonstationary_covariate.csv
- config_name: nyc_covid_healthcare_covariate
data_files:
- split: train
path: >-
task_data/covariate/nyc_covid_healthcare_covariate/nyc_covid_healthcare_covariate.csv
- config_name: solar_100_covariate
data_files:
- split: train
path: task_data/covariate/solar_100_covariate/solar_100_covariate.csv
- config_name: solar_500_covariate
data_files:
- split: train
path: task_data/covariate/solar_500_covariate/solar_500_covariate.csv
- config_name: solar_nature_covariate
data_files:
- split: train
path: task_data/covariate/solar_nature_covariate/solar_nature_covariate.csv
- config_name: stocks_continuous_covariate
data_files:
- split: train
path: >-
task_data/covariate/stocks_continuous_covariate/stocks_continuous_covariate.csv
- config_name: stocks_daily_covariate
data_files:
- split: train
path: task_data/covariate/stocks_daily_covariate/stocks_daily_covariate.csv
- config_name: stocks_economics_covariate
data_files:
- split: train
path: >-
task_data/covariate/stocks_economics_covariate/stocks_economics_covariate.csv
- config_name: stocks_real_covariate
data_files:
- split: train
path: task_data/covariate/stocks_real_covariate/stocks_real_covariate.csv
- config_name: weather_climate_covariate
data_files:
- split: train
path: >-
task_data/covariate/weather_climate_covariate/weather_climate_covariate.csv
- config_name: weather_cyclical_covariate
data_files:
- split: train
path: >-
task_data/covariate/weather_cyclical_covariate/weather_cyclical_covariate.csv
- config_name: baggage_100_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/baggage_100_multivariate/baggage_100_multivariate.csv
- config_name: baggage_months_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/baggage_months_multivariate/baggage_months_multivariate.csv
- config_name: baggage_sales_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/baggage_sales_multivariate/baggage_sales_multivariate.csv
- config_name: batadal_software_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/batadal_software_multivariate/batadal_software_multivariate.csv
- config_name: gold_india_continuous_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/gold_india_continuous_multivariate/gold_india_continuous_multivariate.csv
- config_name: gold_india_dense_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/gold_india_dense_multivariate/gold_india_dense_multivariate.csv
- config_name: gold_india_economics_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/gold_india_economics_multivariate/gold_india_economics_multivariate.csv
- config_name: gold_india_real_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/gold_india_real_multivariate/gold_india_real_multivariate.csv
- config_name: india_gold_days_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/india_gold_days_multivariate/india_gold_days_multivariate.csv
- config_name: lt_stock_longest_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/lt_stock_longest_multivariate/lt_stock_longest_multivariate.csv
- config_name: lt_stock_minutes_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/lt_stock_minutes_multivariate/lt_stock_minutes_multivariate.csv
- config_name: madrid_count_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/madrid_count_multivariate/madrid_count_multivariate.csv
- config_name: madrid_cyclical_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/madrid_cyclical_multivariate/madrid_cyclical_multivariate.csv
- config_name: madrid_hours_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/madrid_hours_multivariate/madrid_hours_multivariate.csv
- config_name: madrid_noisy_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/madrid_noisy_multivariate/madrid_noisy_multivariate.csv
- config_name: madrid_transport_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/madrid_transport_multivariate/madrid_transport_multivariate.csv
- config_name: nyc_covid_healthcare_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/nyc_covid_healthcare_multivariate/nyc_covid_healthcare_multivariate.csv
- config_name: soil_500_multivariate
data_files:
- split: train
path: task_data/multivariate/soil_500_multivariate/soil_500_multivariate.csv
- config_name: soil_nature_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/soil_nature_multivariate/soil_nature_multivariate.csv
- config_name: split_smart_energy_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/split_smart_energy_multivariate/split_smart_energy_multivariate.csv
- config_name: utah_manufacturing_multivariate
data_files:
- split: train
path: >-
task_data/multivariate/utah_manufacturing_multivariate/utah_manufacturing_multivariate.csv
- config_name: absent_binary_univariate
data_files:
- split: train
path: >-
task_data/univariate/absent_binary_univariate/absent_binary_univariate.csv
- config_name: chickenpox_dense_univariate
data_files:
- split: train
path: >-
task_data/univariate/chickenpox_dense_univariate/chickenpox_dense_univariate.csv
- config_name: coinbase_days_univariate
data_files:
- split: train
path: >-
task_data/univariate/coinbase_days_univariate/coinbase_days_univariate.csv
- config_name: coinbase_economics_univariate
data_files:
- split: train
path: >-
task_data/univariate/coinbase_economics_univariate/coinbase_economics_univariate.csv
- config_name: delhi_climate_univariate
data_files:
- split: train
path: >-
task_data/univariate/delhi_climate_univariate/delhi_climate_univariate.csv
- config_name: electricity_energy_univariate
data_files:
- split: train
path: >-
task_data/univariate/electricity_energy_univariate/electricity_energy_univariate.csv
- config_name: employees_healthcare_univariate
data_files:
- split: train
path: >-
task_data/univariate/employees_healthcare_univariate/employees_healthcare_univariate.csv
- config_name: federal_funds_weeks_univariate
data_files:
- split: train
path: >-
task_data/univariate/federal_funds_weeks_univariate/federal_funds_weeks_univariate.csv
- config_name: german_houses_sales_univariate
data_files:
- split: train
path: >-
task_data/univariate/german_houses_sales_univariate/german_houses_sales_univariate.csv
- config_name: german_quarterly_univariate
data_files:
- split: train
path: >-
task_data/univariate/german_quarterly_univariate/german_quarterly_univariate.csv
- config_name: inventories_manufacturing_univariate
data_files:
- split: train
path: >-
task_data/univariate/inventories_manufacturing_univariate/inventories_manufacturing_univariate.csv
- config_name: inventories_months_univariate
data_files:
- split: train
path: >-
task_data/univariate/inventories_months_univariate/inventories_months_univariate.csv
- config_name: madrid_transport_univariate
data_files:
- split: train
path: >-
task_data/univariate/madrid_transport_univariate/madrid_transport_univariate.csv
- config_name: occupancy_count_univariate
data_files:
- split: train
path: >-
task_data/univariate/occupancy_count_univariate/occupancy_count_univariate.csv
- config_name: patient_sparse_univariate
data_files:
- split: train
path: >-
task_data/univariate/patient_sparse_univariate/patient_sparse_univariate.csv
- config_name: power_consumption_years_univariate
data_files:
- split: train
path: >-
task_data/univariate/power_consumption_years_univariate/power_consumption_years_univariate.csv
- config_name: retail_categorical_univariate
data_files:
- split: train
path: >-
task_data/univariate/retail_categorical_univariate/retail_categorical_univariate.csv
- config_name: software_nonstationary_univariate
data_files:
- split: train
path: >-
task_data/univariate/software_nonstationary_univariate/software_nonstationary_univariate.csv
- config_name: soil_nature_univariate
data_files:
- split: train
path: task_data/univariate/soil_nature_univariate/soil_nature_univariate.csv
- config_name: sw_job_postings_software_univariate
data_files:
- split: train
path: >-
task_data/univariate/sw_job_postings_software_univariate/sw_job_postings_software_univariate.csv
- config_name: synthetic_additive2_univariate
data_files:
- split: train
path: >-
task_data/univariate/synthetic_additive2_univariate/synthetic_additive2_univariate.csv
- config_name: synthetic_cyclic_univariate
data_files:
- split: train
path: >-
task_data/univariate/synthetic_cyclic_univariate/synthetic_cyclic_univariate.csv
- config_name: synthetic_multiplicative_univariate
data_files:
- split: train
path: >-
task_data/univariate/synthetic_multiplicative_univariate/synthetic_multiplicative_univariate.csv
- config_name: synthetic_nonstationary_univariate
data_files:
- split: train
path: >-
task_data/univariate/synthetic_nonstationary_univariate/synthetic_nonstationary_univariate.csv
- config_name: web_traffic_univariate
data_files:
- split: train
path: task_data/univariate/web_traffic_univariate/web_traffic_univariate.csv
TempusBench — task data
Time-series task CSVs in TempusBench format (variable_name, timestamps, values, variable_type).
Each config is one benchmark task folder (see YAML configs in the frontmatter above).
Citation
TempusBench: https://arxiv.org/pdf/2604.11529
License
This dataset card applies to the bundled files as released on the Hub. Project default license for TempusBench: CC-BY-NC-ND-4.0. Individual series may inherit upstream terms — see paper and source listings.
Provenance & Responsible AI (NeurIPS / Croissant placeholders)
⚠️ PLACEHOLDER — fill before Croissant / OpenReview:
prov:wasDerivedFrom(upstream URIs per series),rai:dataLimitations,rai:dataBiases,rai:personalSensitiveInformation.If these are not yet finalized, export Core Croissant from the Hugging Face API after upload, then complete fields in the Croissant RAI editor.
Where to pull source URIs: arXiv text and supplementary materials for TempusBench first; then manual curation for any gaps.