Datasets:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -19,6 +19,107 @@ task_categories:
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task_ids:
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- univariate-time-series-forecasting
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- multivariate-time-series-forecasting
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---
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# Dataset Card for [Electricity Transformer Temperature](https://github.com/zhouhaoyi/ETDataset)
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@@ -211,4 +312,4 @@ Develop time series methods that can perform a long-term prediction based on su
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### Contributions
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Thanks to [@kashif](https://github.com/kashif) for adding this dataset.
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task_ids:
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- univariate-time-series-forecasting
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- multivariate-time-series-forecasting
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dataset_info:
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- config_name: h1
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features:
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- name: start
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dtype: timestamp[s]
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- name: target
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sequence: float32
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- name: feat_static_cat
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sequence: uint64
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- name: feat_dynamic_real
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sequence:
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sequence: float32
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- name: item_id
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dtype: string
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splits:
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- name: test
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num_bytes: 77508960
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num_examples: 240
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- name: train
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num_bytes: 241978
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num_examples: 1
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- name: validation
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num_bytes: 33916080
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num_examples: 120
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download_size: 2589657
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dataset_size: 111667018
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- config_name: h2
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features:
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- name: start
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dtype: timestamp[s]
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- name: target
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sequence: float32
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- name: feat_static_cat
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sequence: uint64
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- name: feat_dynamic_real
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sequence:
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sequence: float32
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- name: item_id
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dtype: string
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splits:
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- name: test
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num_bytes: 77508960
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num_examples: 240
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- name: train
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num_bytes: 241978
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num_examples: 1
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+
- name: validation
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num_bytes: 33916080
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num_examples: 120
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download_size: 2417960
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dataset_size: 111667018
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- config_name: m1
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features:
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- name: start
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dtype: timestamp[s]
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- name: target
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sequence: float32
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- name: feat_static_cat
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+
sequence: uint64
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- name: feat_dynamic_real
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sequence:
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sequence: float32
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- name: item_id
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dtype: string
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splits:
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- name: test
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num_bytes: 1239008640
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num_examples: 960
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- name: train
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num_bytes: 967738
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num_examples: 1
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- name: validation
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num_bytes: 542089920
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num_examples: 480
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download_size: 10360719
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dataset_size: 1782066298
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- config_name: m2
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features:
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- name: start
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dtype: timestamp[s]
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- name: target
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sequence: float32
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- name: feat_static_cat
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sequence: uint64
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- name: feat_dynamic_real
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sequence:
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sequence: float32
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- name: item_id
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dtype: string
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splits:
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- name: test
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num_bytes: 1239008640
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+
num_examples: 960
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- name: train
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num_bytes: 967738
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num_examples: 1
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- name: validation
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num_bytes: 542089920
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+
num_examples: 480
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download_size: 9677236
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dataset_size: 1782066298
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---
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# Dataset Card for [Electricity Transformer Temperature](https://github.com/zhouhaoyi/ETDataset)
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### Contributions
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+
Thanks to [@kashif](https://github.com/kashif) for adding this dataset.
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