Datasets:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
|
@@ -19,6 +19,107 @@ task_categories:
|
|
| 19 |
task_ids:
|
| 20 |
- univariate-time-series-forecasting
|
| 21 |
- multivariate-time-series-forecasting
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
---
|
| 23 |
|
| 24 |
# Dataset Card for [Electricity Transformer Temperature](https://github.com/zhouhaoyi/ETDataset)
|
|
@@ -211,4 +312,4 @@ Develop time series methods that can perform a long-term prediction based on su
|
|
| 211 |
|
| 212 |
### Contributions
|
| 213 |
|
| 214 |
-
Thanks to [@kashif](https://github.com/kashif) for adding this dataset.
|
|
|
|
| 19 |
task_ids:
|
| 20 |
- univariate-time-series-forecasting
|
| 21 |
- multivariate-time-series-forecasting
|
| 22 |
+
dataset_info:
|
| 23 |
+
- config_name: h1
|
| 24 |
+
features:
|
| 25 |
+
- name: start
|
| 26 |
+
dtype: timestamp[s]
|
| 27 |
+
- name: target
|
| 28 |
+
sequence: float32
|
| 29 |
+
- name: feat_static_cat
|
| 30 |
+
sequence: uint64
|
| 31 |
+
- name: feat_dynamic_real
|
| 32 |
+
sequence:
|
| 33 |
+
sequence: float32
|
| 34 |
+
- name: item_id
|
| 35 |
+
dtype: string
|
| 36 |
+
splits:
|
| 37 |
+
- name: test
|
| 38 |
+
num_bytes: 77508960
|
| 39 |
+
num_examples: 240
|
| 40 |
+
- name: train
|
| 41 |
+
num_bytes: 241978
|
| 42 |
+
num_examples: 1
|
| 43 |
+
- name: validation
|
| 44 |
+
num_bytes: 33916080
|
| 45 |
+
num_examples: 120
|
| 46 |
+
download_size: 2589657
|
| 47 |
+
dataset_size: 111667018
|
| 48 |
+
- config_name: h2
|
| 49 |
+
features:
|
| 50 |
+
- name: start
|
| 51 |
+
dtype: timestamp[s]
|
| 52 |
+
- name: target
|
| 53 |
+
sequence: float32
|
| 54 |
+
- name: feat_static_cat
|
| 55 |
+
sequence: uint64
|
| 56 |
+
- name: feat_dynamic_real
|
| 57 |
+
sequence:
|
| 58 |
+
sequence: float32
|
| 59 |
+
- name: item_id
|
| 60 |
+
dtype: string
|
| 61 |
+
splits:
|
| 62 |
+
- name: test
|
| 63 |
+
num_bytes: 77508960
|
| 64 |
+
num_examples: 240
|
| 65 |
+
- name: train
|
| 66 |
+
num_bytes: 241978
|
| 67 |
+
num_examples: 1
|
| 68 |
+
- name: validation
|
| 69 |
+
num_bytes: 33916080
|
| 70 |
+
num_examples: 120
|
| 71 |
+
download_size: 2417960
|
| 72 |
+
dataset_size: 111667018
|
| 73 |
+
- config_name: m1
|
| 74 |
+
features:
|
| 75 |
+
- name: start
|
| 76 |
+
dtype: timestamp[s]
|
| 77 |
+
- name: target
|
| 78 |
+
sequence: float32
|
| 79 |
+
- name: feat_static_cat
|
| 80 |
+
sequence: uint64
|
| 81 |
+
- name: feat_dynamic_real
|
| 82 |
+
sequence:
|
| 83 |
+
sequence: float32
|
| 84 |
+
- name: item_id
|
| 85 |
+
dtype: string
|
| 86 |
+
splits:
|
| 87 |
+
- name: test
|
| 88 |
+
num_bytes: 1239008640
|
| 89 |
+
num_examples: 960
|
| 90 |
+
- name: train
|
| 91 |
+
num_bytes: 967738
|
| 92 |
+
num_examples: 1
|
| 93 |
+
- name: validation
|
| 94 |
+
num_bytes: 542089920
|
| 95 |
+
num_examples: 480
|
| 96 |
+
download_size: 10360719
|
| 97 |
+
dataset_size: 1782066298
|
| 98 |
+
- config_name: m2
|
| 99 |
+
features:
|
| 100 |
+
- name: start
|
| 101 |
+
dtype: timestamp[s]
|
| 102 |
+
- name: target
|
| 103 |
+
sequence: float32
|
| 104 |
+
- name: feat_static_cat
|
| 105 |
+
sequence: uint64
|
| 106 |
+
- name: feat_dynamic_real
|
| 107 |
+
sequence:
|
| 108 |
+
sequence: float32
|
| 109 |
+
- name: item_id
|
| 110 |
+
dtype: string
|
| 111 |
+
splits:
|
| 112 |
+
- name: test
|
| 113 |
+
num_bytes: 1239008640
|
| 114 |
+
num_examples: 960
|
| 115 |
+
- name: train
|
| 116 |
+
num_bytes: 967738
|
| 117 |
+
num_examples: 1
|
| 118 |
+
- name: validation
|
| 119 |
+
num_bytes: 542089920
|
| 120 |
+
num_examples: 480
|
| 121 |
+
download_size: 9677236
|
| 122 |
+
dataset_size: 1782066298
|
| 123 |
---
|
| 124 |
|
| 125 |
# Dataset Card for [Electricity Transformer Temperature](https://github.com/zhouhaoyi/ETDataset)
|
|
|
|
| 312 |
|
| 313 |
### Contributions
|
| 314 |
|
| 315 |
+
Thanks to [@kashif](https://github.com/kashif) for adding this dataset.
|