Datasets:
Copy hermes from smilegeng/fev_datasets
Browse files- .gitattributes +3 -0
- README.md +63 -0
- hermes_1.tsfile +3 -0
- hermes_2.tsfile +3 -0
- hermes_3.tsfile +3 -0
.gitattributes
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@@ -58,3 +58,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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hermes_1.tsfile filter=lfs diff=lfs merge=lfs -text
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hermes_2.tsfile filter=lfs diff=lfs merge=lfs -text
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hermes_3.tsfile filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: other
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task_categories:
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- time-series-forecasting
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tags:
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- time-series
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- tsfile
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pretty_name: hermes (TsFile format)
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---
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# hermes — TsFile 格式
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本目录是 [`autogluon/fev_datasets`](https://huggingface.co/datasets/autogluon/fev_datasets) 中 **hermes** 子集转换为 [Apache TsFile](https://tsfile.apache.org/) 格式的版本。
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## 来源与引用
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- **原始来源**:https://github.com/etidav/HERMES
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- **论文/引用**:[[12]](https://arxiv.org/abs/2202.03224)
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- **统一格式合集**:[autogluon/fev_datasets](https://huggingface.co/datasets/autogluon/fev_datasets)
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> 本数据由外部来源转换为统一格式后再转为 TsFile。许可与引用以**原始来源**为准,我们不对原始数据主张任何权利。除非另有说明,数据仅供研究用途。
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## 数据统计
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| 序列数 | 中位长度 | 观测点数 | 动态列 | 静态列 | 文件 |
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|---|---|---|---|---|---|
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| 10,000 | 261 | 5,220,000 | 2 | 2 | `hermes_1..hermes_3.tsfile`(3 片) |
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## TsFile 存储模型
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- 每条原始序列(`id`)→ 一个 **device**(TAG 维度)。
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- 静态协变量列 → 也作 **TAG**(device 元数据):`country, category`。
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- 随时间变化的 target / 动态协变量 → **measurement**(FIELD)。
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- `timestamp` → `Time`(INT64 毫秒)。
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- 表名:hermes。
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### 列含义
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| 列 | 角色 | TsFile 类型 |
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|---|---|---|
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| `Time` | Time(时间列) | INT64 |
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| `id` | TAG(device 维度) | STRING |
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| `country` | TAG(device 维度) | STRING |
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| `category` | TAG(device 维度) | STRING |
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| `target` | FIELD(measurement) | FLOAT |
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| `external` | FIELD(measurement) | FLOAT |
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## 转换说明
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- 每行原始数据是一整条序列 `(id, timestamp[], 各 target[])`,纵向打平为长表后写入 TsFile。
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- 数值类型按源列自适应:float32→FLOAT、float64→DOUBLE、整数→INT64、bool→BOOLEAN。
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- 时间精度:毫秒(INT64)。
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- 大表会被工具自动分片为 `<名>_1.tsfile`、`<名>_2.tsfile` …,同属一个逻辑表。
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## 读取示例
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```python
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from tsfile import TsFileReader
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reader = TsFileReader("hermes.tsfile")
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schemas = reader.get_all_table_schemas()
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# 表名:hermes;列见下方"列含义"。
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```
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hermes_1.tsfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:01162d4f88e94f93f74b309032a7e475c8a4eb6d4aa57bcf850c1257632210bb
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size 9339641
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hermes_2.tsfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:33aaf2ef759c01c4c1e03cb72b8777b81533490572137c83bea8c3415d58d807
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size 9295006
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hermes_3.tsfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:372ab77de1d42eb2e5ef3b8772b076f982478f14a1b6cbe8853b2499de83ad71
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size 4526004
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