{
  "accepted_pair_identities": [
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      "dataset_id": "Air-Quality",
      "method": "CSC"
    },
    {
      "dataset_id": "Bar-Crawl",
      "method": "CSC"
    },
    {
      "dataset_id": "Bar-Crawl",
      "method": "Camel"
    },
    {
      "dataset_id": "Bar-Crawl",
      "method": "LZO2A"
    },
    {
      "dataset_id": "Bar-Crawl",
      "method": "LZSSE"
    },
    {
      "dataset_id": "Bird-migration",
      "method": "CSC"
    },
    {
      "dataset_id": "Bird-migration",
      "method": "LZJB"
    },
    {
      "dataset_id": "Bird-migration",
      "method": "Shrinker"
    },
    {
      "dataset_id": "Comments",
      "method": "CSC"
    },
    {
      "dataset_id": "Comments",
      "method": "Crush"
    },
    {
      "dataset_id": "Comments",
      "method": "LZJB"
    },
    {
      "dataset_id": "Comments",
      "method": "LZSSE"
    },
    {
      "dataset_id": "ETDataset-ett",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "ETDataset-ett",
      "method": "LZJB"
    },
    {
      "dataset_id": "ETDataset-ett",
      "method": "Shrinker"
    },
    {
      "dataset_id": "IGlocations2",
      "method": "CSC"
    },
    {
      "dataset_id": "IGlocations2",
      "method": "LZJB"
    },
    {
      "dataset_id": "IGlocations2",
      "method": "LZSSE"
    },
    {
      "dataset_id": "IGlocations2",
      "method": "Shrinker"
    },
    {
      "dataset_id": "METR-LA",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "METR-LA",
      "method": "LZJB"
    },
    {
      "dataset_id": "METR-LA",
      "method": "Shrinker"
    },
    {
      "dataset_id": "Metro-Traffic",
      "method": "CSC"
    },
    {
      "dataset_id": "Metro-Traffic",
      "method": "Shrinker"
    },
    {
      "dataset_id": "NYC_Yellow_Taxi_Trip",
      "method": "CSC"
    },
    {
      "dataset_id": "NYC_Yellow_Taxi_Trip",
      "method": "LZJB"
    },
    {
      "dataset_id": "NYC_Yellow_Taxi_Trip",
      "method": "LZSSE"
    },
    {
      "dataset_id": "PEMS-BAY",
      "method": "CSC"
    },
    {
      "dataset_id": "PEMS-BAY",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "PEMS-BAY",
      "method": "LZJB"
    },
    {
      "dataset_id": "PEMS-BAY",
      "method": "Shrinker"
    },
    {
      "dataset_id": "PEMS-BAY",
      "method": "Tornado"
    },
    {
      "dataset_id": "RealEstate1",
      "method": "CSC"
    },
    {
      "dataset_id": "RealEstate1",
      "method": "Crush"
    },
    {
      "dataset_id": "RealEstate1",
      "method": "LZJB"
    },
    {
      "dataset_id": "RealEstate2",
      "method": "CSC"
    },
    {
      "dataset_id": "RealEstate2",
      "method": "Crush"
    },
    {
      "dataset_id": "RealEstate2",
      "method": "Density"
    },
    {
      "dataset_id": "RealEstate2",
      "method": "LZJB"
    },
    {
      "dataset_id": "RealEstate2",
      "method": "LZSSE"
    },
    {
      "dataset_id": "Romance",
      "method": "CSC"
    },
    {
      "dataset_id": "Romance",
      "method": "Camel"
    },
    {
      "dataset_id": "Romance",
      "method": "Crush"
    },
    {
      "dataset_id": "Romance",
      "method": "LZJB"
    },
    {
      "dataset_id": "Romance",
      "method": "Tornado"
    },
    {
      "dataset_id": "SpatialEpiBench",
      "method": "Crush"
    },
    {
      "dataset_id": "SpatialEpiBench",
      "method": "LZSSE"
    },
    {
      "dataset_id": "SpatialEpiBench",
      "method": "Shrinker"
    },
    {
      "dataset_id": "SpatialEpiBench",
      "method": "Tornado"
    },
    {
      "dataset_id": "Telco",
      "method": "CSC"
    },
    {
      "dataset_id": "Telco",
      "method": "Camel"
    },
    {
      "dataset_id": "Telco",
      "method": "Crush"
    },
    {
      "dataset_id": "Telco",
      "method": "LZJB"
    },
    {
      "dataset_id": "Telco",
      "method": "LZSSE"
    },
    {
      "dataset_id": "Telco",
      "method": "Shrinker"
    },
    {
      "dataset_id": "TrainsUK2",
      "method": "CSC"
    },
    {
      "dataset_id": "TrainsUK2",
      "method": "LZJB"
    },
    {
      "dataset_id": "TrainsUK2",
      "method": "LZSSE"
    },
    {
      "dataset_id": "Uberlandia",
      "method": "CSC"
    },
    {
      "dataset_id": "Uberlandia",
      "method": "Camel"
    },
    {
      "dataset_id": "Uberlandia",
      "method": "Crush"
    },
    {
      "dataset_id": "Uberlandia",
      "method": "LZJB"
    },
    {
      "dataset_id": "Uberlandia",
      "method": "LZSSE"
    },
    {
      "dataset_id": "Uberlandia",
      "method": "Tornado"
    },
    {
      "dataset_id": "Wins",
      "method": "CSC"
    },
    {
      "dataset_id": "Wins",
      "method": "Camel"
    },
    {
      "dataset_id": "Wins",
      "method": "Crush"
    },
    {
      "dataset_id": "Wins",
      "method": "LZJB"
    },
    {
      "dataset_id": "Wins",
      "method": "LZSSE"
    },
    {
      "dataset_id": "Wins",
      "method": "Shrinker"
    },
    {
      "dataset_id": "YaleLanguages",
      "method": "CSC"
    },
    {
      "dataset_id": "YaleLanguages",
      "method": "LZJB"
    },
    {
      "dataset_id": "YaleLanguages",
      "method": "LZSSE"
    },
    {
      "dataset_id": "YaleLanguages",
      "method": "Shrinker"
    },
    {
      "dataset_id": "africa_senegal_mauritania_crops_spi",
      "method": "Camel"
    },
    {
      "dataset_id": "africa_senegal_mauritania_crops_spi",
      "method": "Tornado"
    },
    {
      "dataset_id": "ast_spacemobile_fleet_data",
      "method": "Tornado"
    },
    {
      "dataset_id": "australia_solar",
      "method": "Shrinker"
    },
    {
      "dataset_id": "australian_electricity_demand",
      "method": "CSC"
    },
    {
      "dataset_id": "auto_production_sf",
      "method": "Tornado"
    },
    {
      "dataset_id": "azure2019_u",
      "method": "LZSSE"
    },
    {
      "dataset_id": "bitcoin",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "bitcoin",
      "method": "LZJB"
    },
    {
      "dataset_id": "bitcoin",
      "method": "Shrinker"
    },
    {
      "dataset_id": "bitcoin_price_timeseries",
      "method": "CSC"
    },
    {
      "dataset_id": "bitcoin_price_timeseries",
      "method": "LZO2A"
    },
    {
      "dataset_id": "bitcoin_price_timeseries",
      "method": "LZSSE"
    },
    {
      "dataset_id": "bitcoin_price_timeseries",
      "method": "Shrinker"
    },
    {
      "dataset_id": "car_parts",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "car_parts",
      "method": "Shrinker"
    },
    {
      "dataset_id": "car_parts",
      "method": "Tornado"
    },
    {
      "dataset_id": "coastal_t_s",
      "method": "CSC"
    },
    {
      "dataset_id": "coastal_t_s",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "coastal_t_s",
      "method": "LZJB"
    },
    {
      "dataset_id": "coastal_t_s",
      "method": "Shrinker"
    },
    {
      "dataset_id": "coastal_t_s",
      "method": "Tornado"
    },
    {
      "dataset_id": "commodity_import",
      "method": "Tornado"
    },
    {
      "dataset_id": "commodity_production",
      "method": "CSC"
    },
    {
      "dataset_id": "commodity_production",
      "method": "LZJB"
    },
    {
      "dataset_id": "commodity_production",
      "method": "LZSSE"
    },
    {
      "dataset_id": "commodity_production",
      "method": "Tornado"
    },
    {
      "dataset_id": "covid_deaths-monash",
      "method": "Tornado"
    },
    {
      "dataset_id": "crypto_data",
      "method": "CSC"
    },
    {
      "dataset_id": "crypto_data",
      "method": "Camel"
    },
    {
      "dataset_id": "crypto_data",
      "method": "Density"
    },
    {
      "dataset_id": "crypto_data",
      "method": "LZSSE"
    },
    {
      "dataset_id": "crypto_data",
      "method": "Tornado"
    },
    {
      "dataset_id": "current_velocity",
      "method": "CSC"
    },
    {
      "dataset_id": "current_velocity",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "current_velocity",
      "method": "LZJB"
    },
    {
      "dataset_id": "current_velocity",
      "method": "LZO2A"
    },
    {
      "dataset_id": "current_velocity",
      "method": "LZSSE"
    },
    {
      "dataset_id": "current_velocity",
      "method": "Shrinker"
    },
    {
      "dataset_id": "current_velocity",
      "method": "Tornado"
    },
    {
      "dataset_id": "deep-space-probes",
      "method": "CSC"
    },
    {
      "dataset_id": "deep-space-probes",
      "method": "Camel"
    },
    {
      "dataset_id": "deep-space-probes",
      "method": "LZJB"
    },
    {
      "dataset_id": "deep-space-probes",
      "method": "Shrinker"
    },
    {
      "dataset_id": "deep-space-probes",
      "method": "Tornado"
    },
    {
      "dataset_id": "dmi-aarhus-weather-data",
      "method": "LZSSE"
    },
    {
      "dataset_id": "dmi-aarhus-weather-data",
      "method": "Shrinker"
    },
    {
      "dataset_id": "dmi-aarhus-weather-data",
      "method": "Tornado"
    },
    {
      "dataset_id": "dst-index",
      "method": "CSC"
    },
    {
      "dataset_id": "dst-index",
      "method": "Shrinker"
    },
    {
      "dataset_id": "ecdc_covid",
      "method": "CSC"
    },
    {
      "dataset_id": "ecdc_covid",
      "method": "Shrinker"
    },
    {
      "dataset_id": "ecdc_covid",
      "method": "Tornado"
    },
    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "CSC"
    },
    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "Crush"
    },
    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "LZJB"
    },
    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "LZO2A"
    },
    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "LZSSE"
    },
    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "Lzlib"
    },
    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "Shrinker"
    },
    {
      "dataset_id": "electricity_demand",
      "method": "Crush"
    },
    {
      "dataset_id": "electricity_load_2011_2014",
      "method": "Crush"
    },
    {
      "dataset_id": "electricity_load_2011_2014",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "electricity_load_2011_2014",
      "method": "LZJB"
    },
    {
      "dataset_id": "electricity_load_2011_2014",
      "method": "LZSSE"
    },
    {
      "dataset_id": "electricity_load_2011_2014",
      "method": "Shrinker"
    },
    {
      "dataset_id": "electricity_load_2011_2014",
      "method": "Tornado"
    },
    {
      "dataset_id": "electricity_production",
      "method": "Tornado"
    },
    {
      "dataset_id": "enedis-with-holidays",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "enedis-with-holidays",
      "method": "LZJB"
    },
    {
      "dataset_id": "enedis-with-holidays",
      "method": "Shrinker"
    },
    {
      "dataset_id": "epf_electricity_price",
      "method": "LZJB"
    },
    {
      "dataset_id": "eweld_load",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "eweld_load",
      "method": "LZJB"
    },
    {
      "dataset_id": "eweld_load",
      "method": "Shrinker"
    },
    {
      "dataset_id": "faang_engineered_time_series_features_2013_2025",
      "method": "LZO2A"
    },
    {
      "dataset_id": "forex_factory_calendar",
      "method": "CSC"
    },
    {
      "dataset_id": "forex_factory_calendar",
      "method": "Crush"
    },
    {
      "dataset_id": "forex_factory_calendar",
      "method": "Tornado"
    },
    {
      "dataset_id": "fred_md",
      "method": "Crush"
    },
    {
      "dataset_id": "fred_md",
      "method": "LZJB"
    },
    {
      "dataset_id": "fred_md",
      "method": "LZSSE"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "CSC"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "LZG"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "LZSSE"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "Shrinker"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "Tornado"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "CSC"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "Crush"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "LZG"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "LZJB"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "LZSSE"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "Shrinker"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "Tornado"
    },
    {
      "dataset_id": "fulus_lyd_rates_2025",
      "method": "LZJB"
    },
    {
      "dataset_id": "github_top_projects",
      "method": "CSC"
    },
    {
      "dataset_id": "github_top_projects",
      "method": "LZSSE"
    },
    {
      "dataset_id": "github_top_projects",
      "method": "Tornado"
    },
    {
      "dataset_id": "global_influenza",
      "method": "CSC"
    },
    {
      "dataset_id": "global_influenza",
      "method": "LZSSE"
    },
    {
      "dataset_id": "global_influenza",
      "method": "Tornado"
    },
    {
      "dataset_id": "global_price",
      "method": "LZSSE"
    },
    {
      "dataset_id": "global_price",
      "method": "Tornado"
    },
    {
      "dataset_id": "globalstar_fleet_data",
      "method": "Tornado"
    },
    {
      "dataset_id": "gluco_tsfm_benchmark",
      "method": "CSC"
    },
    {
      "dataset_id": "gluco_tsfm_benchmark",
      "method": "Crush"
    },
    {
      "dataset_id": "gluco_tsfm_benchmark",
      "method": "LZSSE"
    },
    {
      "dataset_id": "gluco_tsfm_benchmark",
      "method": "Tornado"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "CSC"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Camel"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Crush"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "LZJB"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "LZO2A"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "LZSSE"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Lzlib"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Shrinker"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Tornado"
    },
    {
      "dataset_id": "hospital-monash",
      "method": "Tornado"
    },
    {
      "dataset_id": "hourly-stock-data-2023",
      "method": "LZO2A"
    },
    {
      "dataset_id": "hourly-stock-data-2023",
      "method": "LZSSE"
    },
    {
      "dataset_id": "hourly-stock-data-2023",
      "method": "Shrinker"
    },
    {
      "dataset_id": "hourly_electricity_demand_brazil",
      "method": "LZSSE"
    },
    {
      "dataset_id": "housing_inventory",
      "method": "Tornado"
    },
    {
      "dataset_id": "indian_stock_hourly_2017_2021",
      "method": "Camel"
    },
    {
      "dataset_id": "indian_stock_hourly_2017_2021",
      "method": "Crush"
    },
    {
      "dataset_id": "indian_stock_hourly_2017_2021",
      "method": "LZSSE"
    },
    {
      "dataset_id": "job_claims",
      "method": "Tornado"
    },
    {
      "dataset_id": "jolts",
      "method": "Tornado"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "CSC"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "Density"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "LZJB"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "LZO2A"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "LZSSE"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "Shrinker"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "Tornado"
    },
    {
      "dataset_id": "kaggle_web_traffic",
      "method": "CSC"
    },
    {
      "dataset_id": "kaggle_web_traffic",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "kaggle_web_traffic",
      "method": "LZSSE"
    },
    {
      "dataset_id": "kaggle_web_traffic",
      "method": "Shrinker"
    },
    {
      "dataset_id": "kaggle_web_traffic",
      "method": "Tornado"
    },
    {
      "dataset_id": "kaggle_web_traffic_weekly",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "kaggle_web_traffic_weekly",
      "method": "LZJB"
    },
    {
      "dataset_id": "kaggle_web_traffic_weekly",
      "method": "LZSSE"
    },
    {
      "dataset_id": "kaggle_web_traffic_weekly",
      "method": "Shrinker"
    },
    {
      "dataset_id": "kaggle_web_traffic_weekly",
      "method": "Tornado"
    },
    {
      "dataset_id": "kdd_cup_2018",
      "method": "CSC"
    },
    {
      "dataset_id": "kdd_cup_2018",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "kdd_cup_2018",
      "method": "LZJB"
    },
    {
      "dataset_id": "kdd_cup_2018",
      "method": "Shrinker"
    },
    {
      "dataset_id": "knowable",
      "method": "CSC"
    },
    {
      "dataset_id": "knowable",
      "method": "Camel"
    },
    {
      "dataset_id": "knowable",
      "method": "LZJB"
    },
    {
      "dataset_id": "knowable",
      "method": "LZSSE"
    },
    {
      "dataset_id": "knowable",
      "method": "Shrinker"
    },
    {
      "dataset_id": "knowable",
      "method": "Tornado"
    },
    {
      "dataset_id": "kraken-trading-data",
      "method": "CSC"
    },
    {
      "dataset_id": "kraken-trading-data",
      "method": "Camel"
    },
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      "dataset_id": "kraken-trading-data",
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      "dataset_id": "kraken-trading-data",
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      "dataset_id": "kraken-trading-data",
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      "dataset_id": "kraken-trading-data",
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      "dataset_id": "kuiper_fleet_data",
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      "dataset_id": "london_smart_meters",
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      "dataset_id": "london_smart_meters",
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      "dataset_id": "london_smart_meters",
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    {
      "dataset_id": "london_smart_meters",
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      "dataset_id": "m2oe2_timeseries",
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    {
      "dataset_id": "m2oe2_timeseries",
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      "dataset_id": "m2oe2_timeseries",
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      "dataset_id": "m2oe2_timeseries",
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      "dataset_id": "m2oe2_timeseries",
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      "dataset_id": "m2oe2_timeseries",
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      "dataset_id": "m2oe2_timeseries",
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      "dataset_id": "macroecon",
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      "dataset_id": "macroecon",
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      "dataset_id": "macroecon",
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      "dataset_id": "magseven_ml_ready_high_frequency_anomaly",
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      "dataset_id": "medium_posts",
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    {
      "dataset_id": "meteoblue",
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    {
      "dataset_id": "meteoblue",
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      "dataset_id": "meteoblue",
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      "dataset_id": "meteoblue",
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      "dataset_id": "metropt_3",
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    {
      "dataset_id": "multi_model_trading_data",
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    {
      "dataset_id": "multi_model_trading_data",
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    {
      "dataset_id": "nasa_maven_kp_insitu",
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      "dataset_id": "nasa_maven_kp_insitu",
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      "dataset_id": "nasa_maven_kp_insitu",
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    {
      "dataset_id": "national_illness",
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    {
      "dataset_id": "ne_china_wind",
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    {
      "dataset_id": "niederschlag_station_4091_bavaria_germany",
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    {
      "dataset_id": "nifty50_market_regime",
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    {
      "dataset_id": "nn5_weekly",
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      "dataset_id": "oikolab_weather",
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      "dataset_id": "oikolab_weather",
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      "dataset_id": "oikolab_weather",
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      "dataset_id": "oikolab_weather",
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    {
      "dataset_id": "oikolab_weather",
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      "dataset_id": "ooni_censorship_historical",
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      "dataset_id": "ooni_censorship_historical",
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    {
      "dataset_id": "ooni_censorship_historical",
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      "dataset_id": "ooni_censorship_historical",
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    {
      "dataset_id": "ooni_censorship_historical",
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      "dataset_id": "openelectricity_nem",
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      "dataset_id": "openelectricity_nem",
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    {
      "dataset_id": "openelectricity_nem",
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      "dataset_id": "orbital_chaos_nasa_ssc",
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      "dataset_id": "orbital_chaos_nasa_ssc",
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      "dataset_id": "orbital_chaos_nasa_ssc",
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      "dataset_id": "orbital_chaos_nasa_ssc",
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      "dataset_id": "orbital_chaos_nasa_ssc",
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      "dataset_id": "orbital_chaos_nasa_ssc",
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      "dataset_id": "pedestrian_counts",
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      "dataset_id": "pedestrian_counts",
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      "dataset_id": "pedestrian_counts",
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    {
      "dataset_id": "pedestrian_counts",
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    {
      "dataset_id": "phenology_normal_hawaii",
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      "dataset_id": "polymarket_crypto_5m_15m",
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      "dataset_id": "polymarket_crypto_5m_15m",
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      "dataset_id": "polymarket_crypto_5m_15m",
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      "dataset_id": "polymarket_crypto_5m_15m",
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      "dataset_id": "port_activity",
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      "dataset_id": "port_activity",
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    {
      "dataset_id": "port_activity",
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      "dataset_id": "quitobench",
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      "dataset_id": "quitobench",
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    {
      "dataset_id": "quitobench",
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      "dataset_id": "quitobench",
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      "dataset_id": "quitobench",
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      "dataset_id": "rating",
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      "dataset_id": "reg_forecasting_v2",
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      "dataset_id": "reg_forecasting_v2",
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      "dataset_id": "salesforecastingwomartstore",
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      "dataset_id": "salesforecastingwomartstore",
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      "dataset_id": "salesforecastingwomartstore",
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      "dataset_id": "salesforecastingwomartstore",
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      "dataset_id": "saugeenday-monash",
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      "dataset_id": "solar_10_minutes",
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    {
      "dataset_id": "solar_weekly",
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    {
      "dataset_id": "solusdt_enhanced_180",
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    {
      "dataset_id": "solusdt_enhanced_180",
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    {
      "dataset_id": "solusdt_enhanced_180",
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      "dataset_id": "spx",
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    },
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      "dataset_id": "stock_dataset",
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    {
      "dataset_id": "stock_dataset",
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      "dataset_id": "substorm_onsets",
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      "dataset_id": "substorm_onsets",
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      "dataset_id": "substorm_onsets",
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      "dataset_id": "telangana_weather",
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      "dataset_id": "telangana_weather",
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      "dataset_id": "telangana_weather",
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      "dataset_id": "temperature_rain",
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      "dataset_id": "temperature_rain",
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      "dataset_id": "temperature_rain",
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      "dataset_id": "timeseries-1m-QQQ-10y",
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      "dataset_id": "timeseries-1m-QQQ-10y",
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    {
      "dataset_id": "timeseries-1m-QQQ-10y",
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    {
      "dataset_id": "timeseries-finance-ETF",
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      "dataset_id": "timeseries-finance-ETF",
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    {
      "dataset_id": "timeseries-finance-ETF",
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    {
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    {
      "dataset_id": "timeseries-finance-ETF",
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      "dataset_id": "timeseries_1mn_sp500",
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    {
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    {
      "dataset_id": "timeseries_1mn_stocks",
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    {
      "dataset_id": "tourism_yearly",
      "method": "Tornado"
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    {
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    },
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    {
      "dataset_id": "traqq_weekly_activity",
      "method": "Tornado"
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    {
      "dataset_id": "trending_stocks_yahoo_finance",
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    {
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      "method": "LZSSE"
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    {
      "dataset_id": "us_stock_financial_ratios",
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      "dataset_id": "us_stock_financial_ratios",
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    {
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    {
      "dataset_id": "us_term_structure",
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      "dataset_id": "vehicle_supply",
      "method": "Tornado"
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    {
      "dataset_id": "vehicle_trips",
      "method": "Gipfeli"
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      "dataset_id": "vehicle_trips",
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      "dataset_id": "water_quality_darwin",
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    {
      "dataset_id": "weather_data_NC",
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      "dataset_id": "weather_data_NC",
      "method": "Tornado"
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    {
      "dataset_id": "weather_data_bavaria",
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    {
      "dataset_id": "weather_data_bavaria",
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    {
      "dataset_id": "wids2023_competition_weather_forecasting",
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    {
      "dataset_id": "wids2023_competition_weather_forecasting",
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    {
      "dataset_id": "wind_4_seconds",
      "method": "CSC"
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      "dataset_id": "wind_farms_minutely",
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      "dataset_id": "wind_farms_minutely",
      "method": "Crush"
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      "dataset_id": "wordle_mcm_dataset",
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      "dataset_id": "wui_global",
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    {
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  ],
  "admission": {
    "host192_rate_and_bytes": "independently verified strict pairs",
    "host192_timing": "diagnostic unless its exact variant proof is attached",
    "unresolved": "current327 and omitted Shrinker are not results",
    "v9_rate_and_bytes": "receipt/result/cold SHA-bound; all 154 have at least one numeric ok aggregate",
    "v9_timing": "diagnostic per variant until independent source/build/timing-boundary proof"
  },
  "completion_v7": {
    "accepted_pair_count": 328,
    "independent_acceptance_sha256": "801b1f024ccf2adf08f5b948038c9c443f5e6de059190efb7c3a870c0c57ef77",
    "portable_manifest": {
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      "sha256": "0f3334e929beceb683ada70b7df9f38ec6c007491525c586495de5e31c6f6cbe"
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    "portable_records": {
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      "sha256": "fc01b845db5a54b90555ec25dfb0c363bf1abea6bc2d1c8f025d5424df08a714"
    },
    "timing_policy": "diagnostic_only_public_ranking_fields_null_until_separate_exact_timing_admission"
  },
  "counts": {
    "accepted_completion_pairs": 328,
    "accepted_unique_repair_pairs": 502,
    "current327_backfill_pairs": 327,
    "current_numeric_pairs_after_accepted_overlay": 11338,
    "current_unresolved_pairs": 0,
    "host192_strict_pairs": 21,
    "matrix_pairs": 13940,
    "omitted_unresolved_pairs": 1,
    "original_active_problem_pairs": 502,
    "original_main_all_na_pairs": 2274,
    "original_main_numeric_pairs": 11164,
    "v9_aggregate_rows": 5604,
    "v9_current_recovered_pairs": 154,
    "v9_host192_overlap_pairs": 1,
    "v9_na_aggregate_rows": 308,
    "v9_new_since_stale_inventory": 8,
    "v9_numeric_ok_aggregate_rows": 5296,
    "v9_stale_inventory_pairs": 146
  },
  "current327_pair_identities": [
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      "dataset_id": "Air-Quality",
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    },
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    },
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    {
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      "dataset_id": "IGlocations2",
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    {
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    {
      "dataset_id": "METR-LA",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "METR-LA",
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    },
    {
      "dataset_id": "Metro-Traffic",
      "method": "CSC"
    },
    {
      "dataset_id": "Metro-Traffic",
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    },
    {
      "dataset_id": "NYC_Yellow_Taxi_Trip",
      "method": "CSC"
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    },
    {
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      "dataset_id": "PEMS-BAY",
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    {
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      "dataset_id": "Romance",
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    {
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    {
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    {
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    {
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    {
      "dataset_id": "Telco",
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    {
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      "dataset_id": "Uberlandia",
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      "dataset_id": "Wins",
      "method": "CSC"
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    {
      "dataset_id": "Wins",
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    {
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    {
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      "dataset_id": "YaleLanguages",
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    },
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      "method": "LZJB"
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    {
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    {
      "dataset_id": "africa_senegal_mauritania_crops_spi",
      "method": "Camel"
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      "method": "Shrinker"
    },
    {
      "dataset_id": "australian_electricity_demand",
      "method": "CSC"
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    {
      "dataset_id": "azure2019_u",
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    {
      "dataset_id": "bitcoin",
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      "method": "Density"
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      "method": "LZSSE"
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    {
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    {
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    {
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      "method": "Gipfeli"
    },
    {
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      "method": "LZO2A"
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    {
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      "method": "Shrinker"
    },
    {
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    {
      "dataset_id": "deep-space-probes",
      "method": "Camel"
    },
    {
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    {
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    {
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    },
    {
      "dataset_id": "dst-index",
      "method": "CSC"
    },
    {
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    },
    {
      "dataset_id": "ecdc_covid",
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    },
    {
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      "method": "Shrinker"
    },
    {
      "dataset_id": "ecdc_covid",
      "method": "Tornado"
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    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "CSC"
    },
    {
      "dataset_id": "eea_pm25_forecasting",
      "method": "Crush"
    },
    {
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      "method": "LZO2A"
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    {
      "dataset_id": "eea_pm25_forecasting",
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    },
    {
      "dataset_id": "electricity_demand",
      "method": "Crush"
    },
    {
      "dataset_id": "electricity_load_2011_2014",
      "method": "Crush"
    },
    {
      "dataset_id": "electricity_load_2011_2014",
      "method": "Gipfeli"
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    {
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    {
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    {
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      "method": "Shrinker"
    },
    {
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      "method": "Tornado"
    },
    {
      "dataset_id": "electricity_production",
      "method": "Tornado"
    },
    {
      "dataset_id": "enedis-with-holidays",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "enedis-with-holidays",
      "method": "LZJB"
    },
    {
      "dataset_id": "enedis-with-holidays",
      "method": "Shrinker"
    },
    {
      "dataset_id": "eweld_load",
      "method": "Gipfeli"
    },
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      "method": "LZJB"
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    {
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      "method": "Shrinker"
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    {
      "dataset_id": "faang_engineered_time_series_features_2013_2025",
      "method": "LZO2A"
    },
    {
      "dataset_id": "forex_factory_calendar",
      "method": "CSC"
    },
    {
      "dataset_id": "forex_factory_calendar",
      "method": "Crush"
    },
    {
      "dataset_id": "fred_md",
      "method": "Crush"
    },
    {
      "dataset_id": "fred_md",
      "method": "LZJB"
    },
    {
      "dataset_id": "fred_md",
      "method": "LZSSE"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "CSC"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "freshretailnet_50k",
      "method": "Shrinker"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "CSC"
    },
    {
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      "method": "Crush"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "freshretailnet_lt",
      "method": "Shrinker"
    },
    {
      "dataset_id": "github_top_projects",
      "method": "CSC"
    },
    {
      "dataset_id": "global_influenza",
      "method": "CSC"
    },
    {
      "dataset_id": "gluco_tsfm_benchmark",
      "method": "CSC"
    },
    {
      "dataset_id": "gluco_tsfm_benchmark",
      "method": "Crush"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "CSC"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Camel"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Crush"
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    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "LZO2A"
    },
    {
      "dataset_id": "goes_omni_electron_flux_forecasting",
      "method": "Shrinker"
    },
    {
      "dataset_id": "hourly-stock-data-2023",
      "method": "LZO2A"
    },
    {
      "dataset_id": "hourly-stock-data-2023",
      "method": "Shrinker"
    },
    {
      "dataset_id": "indian_stock_hourly_2017_2021",
      "method": "Camel"
    },
    {
      "dataset_id": "indian_stock_hourly_2017_2021",
      "method": "Crush"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "CSC"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "Density"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "LZO2A"
    },
    {
      "dataset_id": "jovian_lightning",
      "method": "Shrinker"
    },
    {
      "dataset_id": "kaggle_web_traffic",
      "method": "CSC"
    },
    {
      "dataset_id": "kaggle_web_traffic",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "kaggle_web_traffic",
      "method": "Shrinker"
    },
    {
      "dataset_id": "kaggle_web_traffic_weekly",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "kaggle_web_traffic_weekly",
      "method": "Shrinker"
    },
    {
      "dataset_id": "kdd_cup_2018",
      "method": "CSC"
    },
    {
      "dataset_id": "kdd_cup_2018",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "kdd_cup_2018",
      "method": "Shrinker"
    },
    {
      "dataset_id": "knowable",
      "method": "CSC"
    },
    {
      "dataset_id": "knowable",
      "method": "Camel"
    },
    {
      "dataset_id": "knowable",
      "method": "Shrinker"
    },
    {
      "dataset_id": "kraken-trading-data",
      "method": "CSC"
    },
    {
      "dataset_id": "kraken-trading-data",
      "method": "Camel"
    },
    {
      "dataset_id": "kraken-trading-data",
      "method": "LZO2A"
    },
    {
      "dataset_id": "kraken-trading-data",
      "method": "Shrinker"
    },
    {
      "dataset_id": "london_smart_meters",
      "method": "CSC"
    },
    {
      "dataset_id": "london_smart_meters",
      "method": "Gipfeli"
    },
    {
      "dataset_id": "london_smart_meters",
      "method": "Shrinker"
    },
    {
      "dataset_id": "m2oe2_timeseries",
      "method": "CSC"
    },
    {
      "dataset_id": "m2oe2_timeseries",
      "method": "Crush"
    },
    {
      "dataset_id": "m2oe2_timeseries",
      "method": "Density"
    },
    {
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      "method": "Gipfeli"
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    {
      "dataset_id": "m2oe2_timeseries",
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