Remove redundant datasets

README.md

@@ -160,66 +160,6 @@ dataset_info:
     num_examples: 156
   download_size: 728438
   dataset_size: 1395473
-- config_name: beijing_air_quality
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target_0
-    sequence: float32
-  - name: target_1
-    sequence: float32
-  - name: target_2
-    sequence: float32
-  - name: target_3
-    sequence: float32
-  - name: target_4
-    sequence: float32
-  - name: target_5
-    sequence: float32
-  - name: target_6
-    sequence: float32
-  - name: target_7
-    sequence: float32
-  - name: target_8
-    sequence: float32
-  - name: target_9
-    sequence: float32
-  - name: target_10
-    sequence: float32
-  splits:
-  - name: train
-    num_bytes: 21880997
-    num_examples: 12
-  download_size: 6008430
-  dataset_size: 21880997
-- config_name: bizitobs_l2c
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target_0
-    sequence: float32
-  - name: target_1
-    sequence: float32
-  - name: target_2
-    sequence: float32
-  - name: target_3
-    sequence: float32
-  - name: target_4
-    sequence: float32
-  - name: target_5
-    sequence: float32
-  - name: target_6
-    sequence: float32
-  splits:
-  - name: train
-    num_bytes: 95943
-    num_examples: 1
-  download_size: 60364
-  dataset_size: 95943
 - config_name: boomlet_1062
   features:
   - name: id
@@ -2228,28 +2168,6 @@ dataset_info:
     num_examples: 1
   download_size: 2429520
   dataset_size: 1966228
-- config_name: cdc_fluview_ilinet
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target_0
-    sequence: float32
-  - name: target_1
-    sequence: float32
-  - name: target_2
-    sequence: float32
-  - name: target_3
-    sequence: float32
-  - name: target_4
-    sequence: float32
-  splits:
-  - name: train
-    num_bytes: 1792609
-    num_examples: 75
-  download_size: 1061486
-  dataset_size: 1792609
 - config_name: ecdc_ili
   features:
   - name: id
@@ -3644,34 +3562,6 @@ dataset_info:
     num_examples: 1
   download_size: 765995
   dataset_size: 808226
-- config_name: kdd_cup_2018_1D
-  features:
-  - name: target
-    sequence: float32
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  splits:
-  - name: train
-    num_bytes: 1477704
-    num_examples: 270
-  download_size: 372349
-  dataset_size: 1477704
-- config_name: kdd_cup_2018_1H
-  features:
-  - name: target
-    sequence: float32
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  splits:
-  - name: train
-    num_bytes: 35312580
-    num_examples: 270
-  download_size: 8556716
-  dataset_size: 35312580
 - config_name: kdd_cup_2022_10T
   features:
   - name: id
@@ -4180,20 +4070,6 @@ dataset_info:
     num_examples: 1115
   download_size: 926045
   dataset_size: 4840114
-- config_name: solar_10T
-  features:
-  - name: target
-    sequence: float32
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  splits:
-  - name: train
-    num_bytes: 86411270
-    num_examples: 137
-  download_size: 19483351
-  dataset_size: 86411270
 - config_name: solar_1D
   features:
   - name: target
@@ -4208,20 +4084,6 @@ dataset_info:
     num_examples: 137
   download_size: 205733
   dataset_size: 602690
-- config_name: solar_1H
-  features:
-  - name: target
-    sequence: float32
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  splits:
-  - name: train
-    num_bytes: 14404070
-    num_examples: 137
-  download_size: 3121679
-  dataset_size: 14404070
 - config_name: solar_1W
   features:
   - name: target
@@ -4300,44 +4162,6 @@ dataset_info:
     num_examples: 1
   download_size: 830505
   dataset_size: 2383153
-- config_name: uci_air_quality
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: CO(GT)
-    sequence: float32
-  - name: PT08.S1(CO)
-    sequence: float32
-  - name: NMHC(GT)
-    sequence: float32
-  - name: C6H6(GT)
-    sequence: float32
-  - name: PT08.S2(NMHC)
-    sequence: float32
-  - name: NOx(GT)
-    sequence: float32
-  - name: PT08.S3(NOx)
-    sequence: float32
-  - name: NO2(GT)
-    sequence: float32
-  - name: PT08.S4(NO2)
-    sequence: float32
-  - name: PT08.S5(O3)
-    sequence: float32
-  - name: T
-    sequence: float32
-  - name: RH
-    sequence: float32
-  - name: AH
-    sequence: float32
-  splits:
-  - name: train
-    num_bytes: 561481
-    num_examples: 1
-  download_size: 287093
-  dataset_size: 561481
 - config_name: uk_covid_nation_1D
   features:
   - name: id
@@ -4613,14 +4437,6 @@ configs:
   data_files:
   - split: train
     path: SZ_TAXI/1H/train-*
-- config_name: beijing_air_quality
-  data_files:
-  - split: train
-    path: beijing_air_quality/train-*
-- config_name: bizitobs_l2c
-  data_files:
-  - split: train
-    path: bizitobs_l2c/train-*
 - config_name: boomlet_1062
   data_files:
   - split: train
@@ -4681,10 +4497,6 @@ configs:
   data_files:
   - split: train
     path: boomlet/963/train-*
-- config_name: cdc_fluview_ilinet
-  data_files:
-  - split: train
-    path: cdc_fluview_ilinet/train-*
 - config_name: ecdc_ili
   data_files:
   - split: train
@@ -4801,14 +4613,6 @@ configs:
   data_files:
   - split: train
     path: jena_weather/1H/train-*
-- config_name: kdd_cup_2018_1D
-  data_files:
-  - split: train
-    path: kdd_cup_2018/1D/train-*
-- config_name: kdd_cup_2018_1H
-  data_files:
-  - split: train
-    path: kdd_cup_2018/1H/train-*
 - config_name: kdd_cup_2022_10T
   data_files:
   - split: train
@@ -4885,18 +4689,10 @@ configs:
   data_files:
   - split: train
     path: rossmann/1W/train-*
-- config_name: solar_10T
-  data_files:
-  - split: train
-    path: solar/10T/train-*
 - config_name: solar_1D
   data_files:
   - split: train
     path: solar/1D/train-*
-- config_name: solar_1H
-  data_files:
-  - split: train
-    path: solar/1H/train-*
 - config_name: solar_1W
   data_files:
   - split: train
@@ -4909,10 +4705,6 @@ configs:
   data_files:
   - split: train
     path: solar_with_weather/1H/train-*
-- config_name: uci_air_quality
-  data_files:
-  - split: train
-    path: uci_air_quality/train-*
 - config_name: uk_covid_nation_1D
   data_files:
   - split: train
@@ -5018,8 +4810,6 @@ For more details about the dataset format and usage, check out the [`fev` docume
 | `M_DENSE_1H`               | h      | 30        | 17,520          | 525,600     |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[2]](https://arxiv.org/abs/2304.14343)                                                                        |
 | `SZ_TAXI_15T`              | 15min  | 156       | 2,976           | 464,256     |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[2]](https://arxiv.org/abs/2304.14343)                                                                        |
 | `SZ_TAXI_1H`               | h      | 156       | 744             | 116,064     |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[2]](https://arxiv.org/abs/2304.14343)                                                                        |
-| `beijing_air_quality`      | h      | 12        | 35,064          | 4,628,448   |               11 |               0 | https://huggingface.co/datasets/Salesforce/lotsa_data                                                          | [[3]](https://arxiv.org/abs/2402.02592)                                                                        |
-| `bizitobs_l2c`             | h      | 1         | 2,664           | 18,648      |                7 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
 | `boomlet_1062`             | 5min   | 1         | 16,384          | 344,064     |               21 |               6 | https://huggingface.co/datasets/Datadog/BOOM                                                                   | [[5]](https://arxiv.org/abs/2505.14766)                                                                        |
 | `boomlet_1209`             | 5min   | 1         | 16,384          | 868,352     |               53 |               6 | https://huggingface.co/datasets/Datadog/BOOM                                                                   | [[5]](https://arxiv.org/abs/2505.14766)                                                                        |
 | `boomlet_1225`             | min    | 1         | 16,384          | 802,816     |               49 |               6 | https://huggingface.co/datasets/Datadog/BOOM                                                                   | [[5]](https://arxiv.org/abs/2505.14766)                                                                        |
@@ -5035,7 +4825,6 @@ For more details about the dataset format and usage, check out the [`fev` docume
 | `boomlet_619`              | min    | 1         | 16,384          | 851,968     |               52 |               6 | https://huggingface.co/datasets/Datadog/BOOM                                                                   | [[5]](https://arxiv.org/abs/2505.14766)                                                                        |
 | `boomlet_772`              | min    | 1         | 16,384          | 1,097,728   |               67 |               6 | https://huggingface.co/datasets/Datadog/BOOM                                                                   | [[5]](https://arxiv.org/abs/2505.14766)                                                                        |
 | `boomlet_963`              | min    | 1         | 16,384          | 458,752     |               28 |               6 | https://huggingface.co/datasets/Datadog/BOOM                                                                   | [[5]](https://arxiv.org/abs/2505.14766)                                                                        |
-| `cdc_fluview_ilinet`       | W-SUN  | 75        | 680             | 319,515     |                5 |               0 | https://huggingface.co/datasets/Salesforce/lotsa_data                                                          | [[3]](https://arxiv.org/abs/2402.02592)                                                                        |
 | `ecdc_ili`                 | W-SUN  | 25        | 201             | 4,797       |                1 |               0 | https://github.com/EU-ECDC/Respiratory_viruses_weekly_data/blob/main/data/snapshots/2025-08-08_ILIARIRates.csv |                                                                                                                |
 | `epf_be`                   | h      | 1         | 52,416          | 157,248     |                3 |               0 | https://zenodo.org/records/4624805                                                                             | [[6]](https://doi.org/10.1016/j.apenergy.2021.116983)                                                          |
 | `epf_de`                   | h      | 1         | 52,416          | 157,248     |                3 |               0 | https://zenodo.org/records/4624805                                                                             | [[6]](https://doi.org/10.1016/j.apenergy.2021.116983)                                                          |
@@ -5065,8 +4854,6 @@ For more details about the dataset format and usage, check out the [`fev` docume
 | `jena_weather_10T`         | 10min  | 1         | 52,704          | 1,106,784   |               21 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
 | `jena_weather_1D`          | D      | 1         | 366             | 7,686       |               21 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
 | `jena_weather_1H`          | h      | 1         | 8,784           | 184,464     |               21 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
-| `kdd_cup_2018_1D`          | D      | 270       | 455             | 122,791     |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
-| `kdd_cup_2018_1H`          | h      | 270       | 10,898          | 2,942,364   |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
 | `kdd_cup_2022_10T`         | 10min  | 134       | 35,279          | 47,273,860  |               10 |               0 | https://aistudio.baidu.com/competition/detail/152/0/task-definition                                            | [[14]](https://arxiv.org/abs/2208.04360)                                                                       |
 | `kdd_cup_2022_1D`          | D      | 134       | 243             | 325,620     |               10 |               0 | https://aistudio.baidu.com/competition/detail/152/0/task-definition                                            | [[14]](https://arxiv.org/abs/2208.04360)                                                                       |
 | `kdd_cup_2022_30T`         | 30min  | 134       | 11,758          | 15,755,720  |               10 |               0 | https://aistudio.baidu.com/competition/detail/152/0/task-definition                                            | [[14]](https://arxiv.org/abs/2208.04360)                                                                       |
@@ -5086,13 +4873,10 @@ For more details about the dataset format and usage, check out the [`fev` docume
 | `restaurant`               | D      | 817       | 296             | 294,568     |                1 |               4 | https://www.kaggle.com/c/recruit-restaurant-visitor-forecasting                                                | [[18]](www.kaggle.com/competitions/recruit-restaurant-visitor-forecasting/overview/citation)                   |
 | `rossmann_1D`              | D      | 1,115     | 942             | 7,352,310   |                7 |              10 | https://www.kaggle.com/competitions/rossmann-store-sales                                                       | [[19]](www.kaggle.com/competitions/rossmann-store-sales/overview/citation)                                     |
 | `rossmann_1W`              | W-SUN  | 1,115     | 133             | 889,770     |                6 |              10 | https://www.kaggle.com/competitions/rossmann-store-sales                                                       | [[19]](www.kaggle.com/competitions/rossmann-store-sales/overview/citation)                                     |
-| `solar_10T`                | 10min  | 137       | 52,560          | 7,200,720   |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
 | `solar_1D`                 | D      | 137       | 365             | 50,005      |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
-| `solar_1H`                 | h      | 137       | 8,760           | 1,200,120   |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
 | `solar_1W`                 | W-FRI  | 137       | 52              | 7,124       |                1 |               0 | https://huggingface.co/datasets/Salesforce/GiftEval                                                            | [[4]](https://arxiv.org/abs/2410.10393)                                                                        |
 | `solar_with_weather_15T`   | 15min  | 1         | 198,600         | 1,986,000   |               10 |               0 | https://www.kaggle.com/datasets/samanemami/renewable-energy-and-weather-conditions                             |                                                                                                                |
 | `solar_with_weather_1H`    | h      | 1         | 49,648          | 496,480     |               10 |               0 | https://www.kaggle.com/datasets/samanemami/renewable-energy-and-weather-conditions                             |                                                                                                                |
-| `uci_air_quality`          | h      | 1         | 9,357           | 121,641     |               13 |               0 | https://archive.ics.uci.edu/dataset/360/air+quality                                                            | [[20]](https://doi.org/10.24432/C59K5F)                                                                        |
 | `uk_covid_nation_1D`       | D      | 4         | 729             | 41,216      |               14 |               0 | https://www.kaggle.com/datasets/happyadam73/uk-covid19-dashboard-data-sqlite-compressed                        |                                                                                                                |
 | `uk_covid_nation_1W`       | W-SUN  | 4         | 105             | 5,936       |               14 |               0 | https://www.kaggle.com/datasets/happyadam73/uk-covid19-dashboard-data-sqlite-compressed                        |                                                                                                                |
 | `uk_covid_utla_1D`         | D      | 214       | 721             | 308,786     |                2 |               0 | https://www.kaggle.com/datasets/happyadam73/uk-covid19-dashboard-data-sqlite-compressed                        |                                                                                                                |

beijing_air_quality/train-00000-of-00001.parquet

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bizitobs_l2c/train-00000-of-00001.parquet

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