| --- |
| license: apache-2.0 |
| tags: |
| - timeseries |
| configs: |
| - config_name: default |
| data_files: |
| - split: gift_eval_256 |
| path: gift-eval_256/*.arrow |
| - split: gift_eval_512 |
| path: gift-eval_512/*.arrow |
| - split: electricity_256 |
| path: electricity_256/*.arrow |
| - split: electricity_512 |
| path: electricity_512/*.arrow |
| - split: ett1_15T_256 |
| path: ett1-15T_256/*.arrow |
| - split: ett1_15T_512 |
| path: ett1-15T_512/*.arrow |
| - split: rule_dataset_512 |
| path: rule_dataset_512/*.arrow |
| dataset_info: |
| features: |
| - name: target |
| sequence: float64 |
| - name: dataset |
| dtype: string |
| - name: seq_length |
| dtype: int64 |
| splits: |
| - name: gift_eval_256 |
| num_examples: 11000 |
| - name: gift_eval_512 |
| num_examples: 11000 |
| - name: electricity_256 |
| num_examples: 10000 |
| - name: electricity_512 |
| num_examples: 10000 |
| - name: ett1_15T_256 |
| num_examples: 7000 |
| - name: ett1_15T_512 |
| num_examples: 7000 |
| - name: rule_dataset_512 |
| num_examples: 11000 |
| --- |
| |
| # Time-TSNE-Plot |
|
|
| A multi-scenario evaluation collection for t-SNE visualization of time-series embeddings. Each split stores samples with a fixed window length; the `dataset` field carries **different label semantics** depending on the split (see below). |
|
|
| ## Evaluation Dimensions |
|
|
| | Dimension | Description | Recommended splits | |
| |-----------|-------------|-------------------| |
| | **1. Embeddings across datasets** | Multiple real/benchmark datasets; labels are dataset names | `gift_eval_256` / `gift_eval_512` | |
| | **2. Embeddings across rule-based series** | Rule generators such as triangle waves, square waves, ARMA, etc. | `rule_dataset_512` | |
| | **3. Embeddings across channels (same dataset)** | Multivariate ETT1 with sliding windows per channel; labels are channel indices | `ett1_15T_256` / `ett1_15T_512` | |
| | **4. Embeddings across time positions (same channel)** | Univariate Electricity with sliding windows; labels are window start timestamp indices | `electricity_256` / `electricity_512` | |
|
|
| ## Splits Overview |
|
|
| ### GIFT-Eval (labeled by dataset name) |
|
|
| Sampled from GIFT-Eval subsets; `dataset` is the **source dataset name** (e.g. `bitbrains_fast_storage`, `m4`, etc.; 11 categories in total). |
|
|
| | Split | Directory | # Samples | Window length | |
| |-------|-----------|-----------|---------------| |
| | `gift_eval_256` | `gift-eval_256/` | 11,000 | 256 | |
| | `gift_eval_512` | `gift-eval_512/` | 11,000 | 512 | |
|
|
| ### Electricity (labeled by timestamp) |
|
|
| **Sliding-window** segments on a univariate Electricity series; `dataset` is the **start timestamp index** of each window (string, e.g. `"0"`, `"1"`, …). |
|
|
| | Split | Directory | # Samples | Window length | |
| |-------|-----------|-----------|---------------| |
| | `electricity_256` | `electricity_256/` | 10,000 | 256 | |
| | `electricity_512` | `electricity_512/` | 10,000 | 512 | |
|
|
| ### ETT1-15T (labeled by channel) |
|
|
| **Sliding-window** segments on multivariate ETT1 (15-minute) series; `dataset` is the **channel index** (`"0"`–`"6"`, 7 channels in total). |
|
|
| | Split | Directory | # Samples | Window length | |
| |-------|-----------|-----------|---------------| |
| | `ett1_15T_256` | `ett1-15T_256/` | 7,000 | 256 | |
| | `ett1_15T_512` | `ett1-15T_512/` | 7,000 | 512 | |
|
|
| ### Rule (labeled by generator) |
|
|
| Synthetic series from rule-based generators (e.g. `generate_triangle_wave`, `generate_square_wave`, `generate_arma_samples`, etc.; 10 categories); `dataset` is the **rule/generator name**. Only window length 512 is provided for now. |
|
|
| | Split | Directory | # Samples | Window length | |
| |-------|-----------|-----------|---------------| |
| | `rule_dataset_512` | `rule_dataset_512/` | 11,000 | 512 | |
|
|
| ## Field Descriptions |
|
|
| | Field | Type | Meaning | |
| |-------|------|---------| |
| | `target` | `list[float64]` | Time-series values within the window | |
| | `dataset` | `string` | **Label** (semantics vary by split; see above) | |
| | `seq_length` | `int64` | Window length (256 or 512) | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("whenxuan/Time-TSNE-Plot") |
| |
| # 1) Cross-dataset embeddings |
| gift = ds["gift_eval_256"] |
| |
| # 2) Rule-based series embeddings |
| rules = ds["rule_dataset_512"] |
| |
| # 3) Different channels within the same dataset |
| ett = ds["ett1_15T_256"] |
| |
| # 4) Different time positions within the same channel |
| elec = ds["electricity_256"] |
| ``` |
|
|
