Update README.md

README.md

@@ -11,257 +11,214 @@ task_categories:
 pretty_name: Time-Series-Library (TSLib)
 language:
 - en
-
 configs:
-  # ---------- Forecasting: ETT (4 subsets) ----------
-  - config_name: ETTh1
-    description: "ETT long-term forecasting subset ETTh1 (hourly)."
-    data_files:
-      - ETT-small/ETTh1.csv
-
-  - config_name: ETTh2
-    description: "ETT long-term forecasting subset ETTh2 (hourly)."
-    data_files:
-      - ETT-small/ETTh2.csv
-
-  - config_name: ETTm1
-    description: "ETT long-term forecasting subset ETTm1 (15-min)."
-    data_files:
-      - ETT-small/ETTm1.csv
-
-  - config_name: ETTm2
-    description: "ETT long-term forecasting subset ETTm2 (15-min)."
-    data_files:
-      - ETT-small/ETTm2.csv
-
-  # ---------- Forecasting: Electricity / Traffic / Weather / Exchange / ILI ----------
-  - config_name: electricity
-    description: "Electricity load forecasting (UCI Electricity)."
-    data_files:
-      - electricity/electricity.csv
-
-  - config_name: traffic
-    description: "Traffic volume forecasting."
-    data_files:
-      - traffic/traffic.csv
-
-  - config_name: weather
-    description: "Weather time-series forecasting."
-    data_files:
-      - weather/weather.csv
-
-  - config_name: exchange_rate
-    description: "Exchange rate forecasting."
-    data_files:
-      - exchange_rate/exchange_rate.csv
-
-  - config_name: national_illness
-    description: "Influenza-like illness (ILI) forecasting."
-    data_files:
-      - illness/national_illness.csv
-
-  # ---------- Forecasting (Short-term): M4 (6 subsets) ----------
-  - config_name: m4-yearly
-    description: "M4 Yearly forecasting subset."
-    data_files:
-      - split: train
-        path: m4/Yearly-train.csv
-      - split: test
-        path: m4/Yearly-test.csv
-
-  - config_name: m4-quarterly
-    description: "M4 Quarterly forecasting subset."
-    data_files:
-      - split: train
-        path: m4/Quarterly-train.csv
-      - split: test
-        path: m4/Quarterly-test.csv
-
-  - config_name: m4-monthly
-    description: "M4 Monthly forecasting subset."
-    data_files:
-      - split: train
-        path: m4/Monthly-train.csv
-      - split: test
-        path: m4/Monthly-test.csv
-
-  - config_name: m4-weekly
-    description: "M4 Weekly forecasting subset."
-    data_files:
-      - split: train
-        path: m4/Weekly-train.csv
-      - split: test
-        path: m4/Weekly-test.csv
-
-  - config_name: m4-daily
-    description: "M4 Daily forecasting subset."
-    data_files:
-      - split: train
-        path: m4/Daily-train.csv
-      - split: test
-        path: m4/Daily-test.csv
-
-  - config_name: m4-hourly
-    description: "M4 Hourly forecasting subset."
-    data_files:
-      - split: train
-        path: m4/Hourly-train.csv
-      - split: test
-        path: m4/Hourly-test.csv
-
-  
-  # ---------- Classification: UEA (10 subsets) ----------
-  - config_name: EthanolConcentration
-    description: "UEA multivariate classification: EthanolConcentration."
-    data_files:
-      - split: train
-        path: EthanolConcentration/EthanolConcentration_TRAIN.ts
-      - split: test
-        path: EthanolConcentration/EthanolConcentration_TEST.ts
-  
-  - config_name: FaceDetection
-    description: "UEA multivariate classification: FaceDetection."
-    data_files:
-      - split: train
-        path: FaceDetection/FaceDetection_TRAIN.ts
-      - split: test
-        path: FaceDetection/FaceDetection_TEST.ts
-  
-  - config_name: Handwriting
-    description: "UEA multivariate classification: Handwriting."
-    data_files:
-      - split: train
-        path: Handwriting/Handwriting_TRAIN.ts
-      - split: test
-        path: Handwriting/Handwriting_TEST.ts
-  
-  - config_name: Heartbeat
-    description: "UEA multivariate classification: Heartbeat."
-    data_files:
-      - split: train
-        path: Heartbeat/Heartbeat_TRAIN.ts
-      - split: test
-        path: Heartbeat/Heartbeat_TEST.ts
-  
-  - config_name: JapaneseVowels
-    description: "UEA multivariate classification: JapaneseVowels."
-    data_files:
-      - split: train
-        path: JapaneseVowels/JapaneseVowels_TRAIN.ts
-      - split: test
-        path: JapaneseVowels/JapaneseVowels_TEST.ts
-  
-  - config_name: PEMS-SF
-    description: "UEA multivariate classification: PEMS-SF."
-    data_files:
-      - split: train
-        path: PEMS-SF/PEMS-SF_TRAIN.ts
-      - split: test
-        path: PEMS-SF/PEMS-SF_TEST.ts
-  
-  - config_name: SelfRegulationSCP1
-    description: "UEA multivariate classification: SelfRegulationSCP1."
-    data_files:
-      - split: train
-        path: SelfRegulationSCP1/SelfRegulationSCP1_TRAIN.ts
-      - split: test
-        path: SelfRegulationSCP1/SelfRegulationSCP1_TEST.ts
-  
-  - config_name: SelfRegulationSCP2
-    description: "UEA multivariate classification: SelfRegulationSCP2."
-    data_files:
-      - split: train
-        path: SelfRegulationSCP2/SelfRegulationSCP2_TRAIN.ts
-      - split: test
-        path: SelfRegulationSCP2/SelfRegulationSCP2_TEST.ts
-  
-  - config_name: SpokenArabicDigits
-    description: "UEA multivariate classification: SpokenArabicDigits."
-    data_files:
-      - split: train
-        path: SpokenArabicDigits/SpokenArabicDigits_TRAIN.ts
-      - split: test
-        path: SpokenArabicDigits/SpokenArabicDigits_TEST.ts
-  
-  - config_name: UWaveGestureLibrary
-    description: "UEA multivariate classification: UWaveGestureLibrary."
-    data_files:
-      - split: train
-        path: UWaveGestureLibrary/UWaveGestureLibrary_TRAIN.ts
-      - split: test
-        path: UWaveGestureLibrary/UWaveGestureLibrary_TEST.ts
-  
-
-  # ---------- Anomaly Detection ----------
-  - config_name: SMD-data
-    description: "Server Machine Dataset (SMD) for anomaly detection — train & test data."
-    data_files:
-      - split: train
-        path: SMD/SMD_train.npy
-      - split: test
-        path: SMD/SMD_test.npy
-  
-  - config_name: SMD-label
-    description: "Server Machine Dataset (SMD) — test anomaly labels."
-    data_files:
-      - split: test_label
-        path: SMD/SMD_test_label.npy
-
-
-
-  - config_name: MSL-data
-    description: "NASA Mars Science Laboratory (MSL) anomaly detection — train/test arrays."
-    data_files:
-      - split: train
-        path: MSL/MSL_train.npy
-      - split: test
-        path: MSL/MSL_test.npy
-
-  - config_name: MSL-label
-    description: "MSL anomaly detection — test labels."
-    data_files:
-      - split: test_label
-        path: MSL/MSL_test_label.npy
-
-
-  - config_name: SMAP-data
-    description: "NASA Soil Moisture Active Passive (SMAP) anomaly detection — train/test arrays."
-    data_files:
-      - split: train
-        path: SMAP/SMAP_train.npy
-      - split: test
-        path: SMAP/SMAP_test.npy
-
-  - config_name: SMAP-label
-    description: "SMAP anomaly detection — test labels."
-    data_files:
-      - split: test_label
-        path: SMAP/SMAP_test_label.npy
-
-
-  - config_name: PSM-data
-    description: "KPI-based Process/System Monitoring data (train/test)."
-    data_files:
-      - split: train
-        path: PSM/train.csv
-      - split: test
-        path: PSM/test.csv
-
-  - config_name: PSM-label
-    description: "KPI-based Process/System Monitoring labels (test_label)."
-    data_files:
-      - split: test_label
-        path: PSM/test_label.csv
-
-
-  - config_name: SWaT
-    description: "Secure Water Treatment (SWaT) anomaly detection, processed data."
-    data_files:
-      - split: train
-        path: SWaT/swat_train2.csv
-      - split: test
-        path: SWaT/swat2.csv
-
+- config_name: ETTh1
+  description: ETT long-term forecasting subset ETTh1 (hourly).
+  data_files:
+  - ETT-small/ETTh1.csv
+- config_name: ETTh2
+  description: ETT long-term forecasting subset ETTh2 (hourly).
+  data_files:
+  - ETT-small/ETTh2.csv
+- config_name: ETTm1
+  description: ETT long-term forecasting subset ETTm1 (15-min).
+  data_files:
+  - ETT-small/ETTm1.csv
+- config_name: ETTm2
+  description: ETT long-term forecasting subset ETTm2 (15-min).
+  data_files:
+  - ETT-small/ETTm2.csv
+- config_name: electricity
+  description: Electricity load forecasting (UCI Electricity).
+  data_files:
+  - electricity/electricity.csv
+- config_name: traffic
+  description: Traffic volume forecasting.
+  data_files:
+  - traffic/traffic.csv
+- config_name: weather
+  description: Weather time-series forecasting.
+  data_files:
+  - weather/weather.csv
+- config_name: exchange_rate
+  description: Exchange rate forecasting.
+  data_files:
+  - exchange_rate/exchange_rate.csv
+- config_name: national_illness
+  description: Influenza-like illness (ILI) forecasting.
+  data_files:
+  - illness/national_illness.csv
+- config_name: m4-yearly
+  description: M4 Yearly forecasting subset.
+  data_files:
+  - split: train
+    path: m4/Yearly-train.csv
+  - split: test
+    path: m4/Yearly-test.csv
+- config_name: m4-quarterly
+  description: M4 Quarterly forecasting subset.
+  data_files:
+  - split: train
+    path: m4/Quarterly-train.csv
+  - split: test
+    path: m4/Quarterly-test.csv
+- config_name: m4-monthly
+  description: M4 Monthly forecasting subset.
+  data_files:
+  - split: train
+    path: m4/Monthly-train.csv
+  - split: test
+    path: m4/Monthly-test.csv
+- config_name: m4-weekly
+  description: M4 Weekly forecasting subset.
+  data_files:
+  - split: train
+    path: m4/Weekly-train.csv
+  - split: test
+    path: m4/Weekly-test.csv
+- config_name: m4-daily
+  description: M4 Daily forecasting subset.
+  data_files:
+  - split: train
+    path: m4/Daily-train.csv
+  - split: test
+    path: m4/Daily-test.csv
+- config_name: m4-hourly
+  description: M4 Hourly forecasting subset.
+  data_files:
+  - split: train
+    path: m4/Hourly-train.csv
+  - split: test
+    path: m4/Hourly-test.csv
+- config_name: EthanolConcentration
+  description: 'UEA multivariate classification: EthanolConcentration.'
+  data_files:
+  - split: train
+    path: EthanolConcentration/EthanolConcentration_TRAIN.ts
+  - split: test
+    path: EthanolConcentration/EthanolConcentration_TEST.ts
+- config_name: FaceDetection
+  description: 'UEA multivariate classification: FaceDetection.'
+  data_files:
+  - split: train
+    path: FaceDetection/FaceDetection_TRAIN.ts
+  - split: test
+    path: FaceDetection/FaceDetection_TEST.ts
+- config_name: Handwriting
+  description: 'UEA multivariate classification: Handwriting.'
+  data_files:
+  - split: train
+    path: Handwriting/Handwriting_TRAIN.ts
+  - split: test
+    path: Handwriting/Handwriting_TEST.ts
+- config_name: Heartbeat
+  description: 'UEA multivariate classification: Heartbeat.'
+  data_files:
+  - split: train
+    path: Heartbeat/Heartbeat_TRAIN.ts
+  - split: test
+    path: Heartbeat/Heartbeat_TEST.ts
+- config_name: JapaneseVowels
+  description: 'UEA multivariate classification: JapaneseVowels.'
+  data_files:
+  - split: train
+    path: JapaneseVowels/JapaneseVowels_TRAIN.ts
+  - split: test
+    path: JapaneseVowels/JapaneseVowels_TEST.ts
+- config_name: PEMS-SF
+  description: 'UEA multivariate classification: PEMS-SF.'
+  data_files:
+  - split: train
+    path: PEMS-SF/PEMS-SF_TRAIN.ts
+  - split: test
+    path: PEMS-SF/PEMS-SF_TEST.ts
+- config_name: SelfRegulationSCP1
+  description: 'UEA multivariate classification: SelfRegulationSCP1.'
+  data_files:
+  - split: train
+    path: SelfRegulationSCP1/SelfRegulationSCP1_TRAIN.ts
+  - split: test
+    path: SelfRegulationSCP1/SelfRegulationSCP1_TEST.ts
+- config_name: SelfRegulationSCP2
+  description: 'UEA multivariate classification: SelfRegulationSCP2.'
+  data_files:
+  - split: train
+    path: SelfRegulationSCP2/SelfRegulationSCP2_TRAIN.ts
+  - split: test
+    path: SelfRegulationSCP2/SelfRegulationSCP2_TEST.ts
+- config_name: SpokenArabicDigits
+  description: 'UEA multivariate classification: SpokenArabicDigits.'
+  data_files:
+  - split: train
+    path: SpokenArabicDigits/SpokenArabicDigits_TRAIN.ts
+  - split: test
+    path: SpokenArabicDigits/SpokenArabicDigits_TEST.ts
+- config_name: UWaveGestureLibrary
+  description: 'UEA multivariate classification: UWaveGestureLibrary.'
+  data_files:
+  - split: train
+    path: UWaveGestureLibrary/UWaveGestureLibrary_TRAIN.ts
+  - split: test
+    path: UWaveGestureLibrary/UWaveGestureLibrary_TEST.ts
+- config_name: SMD-data
+  description: Server Machine Dataset (SMD) for anomaly detection — train & test data.
+  data_files:
+  - split: train
+    path: SMD/SMD_train.npy
+  - split: test
+    path: SMD/SMD_test.npy
+- config_name: SMD-label
+  description: Server Machine Dataset (SMD) — test anomaly labels.
+  data_files:
+  - split: test_label
+    path: SMD/SMD_test_label.npy
+- config_name: MSL-data
+  description: NASA Mars Science Laboratory (MSL) anomaly detection — train/test arrays.
+  data_files:
+  - split: train
+    path: MSL/MSL_train.npy
+  - split: test
+    path: MSL/MSL_test.npy
+- config_name: MSL-label
+  description: MSL anomaly detection — test labels.
+  data_files:
+  - split: test_label
+    path: MSL/MSL_test_label.npy
+- config_name: SMAP-data
+  description: >-
+    NASA Soil Moisture Active Passive (SMAP) anomaly detection — train/test
+    arrays.
+  data_files:
+  - split: train
+    path: SMAP/SMAP_train.npy
+  - split: test
+    path: SMAP/SMAP_test.npy
+- config_name: SMAP-label
+  description: SMAP anomaly detection — test labels.
+  data_files:
+  - split: test_label
+    path: SMAP/SMAP_test_label.npy
+- config_name: PSM-data
+  description: KPI-based Process/System Monitoring data (train/test).
+  data_files:
+  - split: train
+    path: PSM/train.csv
+  - split: test
+    path: PSM/test.csv
+- config_name: PSM-label
+  description: KPI-based Process/System Monitoring labels (test_label).
+  data_files:
+  - split: test_label
+    path: PSM/test_label.csv
+- config_name: SWaT
+  description: Secure Water Treatment (SWaT) anomaly detection, processed data.
+  data_files:
+  - split: train
+    path: SWaT/swat_train2.csv
+  - split: test
+    path: SWaT/swat2.csv
+size_categories:
+- 10M<n<100M
 ---