Add TsFile (converted from daniel-dona/ree-data)

.gitattributes

@@ -58,3 +58,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+ree_data_1.tsfile filter=lfs diff=lfs merge=lfs -text
+ree_data_2.tsfile filter=lfs diff=lfs merge=lfs -text
+ree_data_3.tsfile filter=lfs diff=lfs merge=lfs -text
+ree_data_4.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- time-series-forecasting
+language:
+- en
+- es
+tags:
+- tsfile
+- timeseries
+- electricity
+- energy
+- spain
+- iberia
+- generation
+- demand
+- time-series
+- renewables
+- power-grid
+- format:tsfile
+pretty_name: REE Iberian Peninsula Electricity Generation (2008–2026) (TsFile)
+size_categories:
+- 1M<n<10M
+configs:
+- config_name: default
+  data_files:
+  - split: ree_data_1
+    path: ree_data_1.tsfile
+  - split: ree_data_2
+    path: ree_data_2.tsfile
+  - split: ree_data_3
+    path: ree_data_3.tsfile
+  - split: ree_data_4
+    path: ree_data_4.tsfile
+---
+
+# REE Iberian Peninsula Electricity Generation (2008–2026) (TsFile)
+
+Apache TsFile version of [`daniel-dona/ree-data`](https://huggingface.co/datasets/daniel-dona/ree-data).
+
+## Overview
+
+Electricity **demand and generation by source** for the Iberian Peninsula, sourced from [REE (Red Eléctrica de España)](https://www.ree.es/). Covers **2008–present** at **5-minute resolution**, fully deduplicated.
+
+- **Tables:** `ree_data`
+- **Rows:** 1,931,443 across 1 TsFile table(s).
+  - `ree_data`: 1,931,443 rows, 2007-12-31 21:00:00 → 2026-05-14 11:15:00 (UTC)
+
+## Schema (TsFile structure)
+
+### `ree_data.tsfile`
+
+- **Time** (INT64, milliseconds) — the source `ts` timestamp as INT64 milliseconds.
+- **TAG**: none — the table is a single device / single series.
+- **FIELD** (37): `dem` (int64), `eol` (int64), `nuc` (int64), `gf` (int64), `car` (int64), `cc` (int64), `hid` (int64), `aut` (int64), `inter` (int64), `icb` (int64), `sol` (int64), `solFot` (int64), `solTer` (int64), `termRenov` (int64), `cogenResto` (int64), `expAnd` (int64), `expMar` (int64), `expPor` (int64), `expFra` (int64), `expTot` (int64), `impFra` (int64), `impPor` (int64), `impMar` (int64), `impAnd` (int64), `impTot` (int64), `conb` (int64), `turb` (int64), `gnhd` (int64), `bat` (int64), `consBat` (int64), `dif` (int64), `vap` (int64), `year` (int32), `month` (int32), `day` (int32), `hour` (int32), `date` (string)
+
+## Conversion notes
+
+- The source is a single `train` split stored as two Parquet shards; both shards are concatenated into the single TsFile `ree_data.tsfile` (the split is preserved, not mixed with any other split).
+- Time is the source `ts` timestamp (hourly, Spanish peninsular time) as INT64 milliseconds. The redundant calendar columns `year`/`month`/`day`/`hour`/`date` are kept as FIELDs.
+- Single device (the Spanish peninsular system), no TAG column; all 38 source columns kept.
+
+## Usage
+
+Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:
+
+```python
+from pathlib import Path
+from tsfile import TsFileReader
+
+path = Path("ree_data_1.tsfile")
+with TsFileReader(str(path)) as reader:
+    schemas = reader.get_all_table_schemas()
+    print("tables:", list(schemas))
+    table_name = next(iter(schemas))
+    table = schemas[table_name]
+    columns = [column.get_column_name() for column in table.get_columns()]
+    print("columns:", columns)
+    field_names = [
+        column.get_column_name()
+        for column in table.get_columns()
+        if column.get_column_name() not in {"Time", "time"}
+    ]
+    if field_names:
+        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
+            batch = result.read_arrow_batch()
+            if batch is not None:
+                print(batch.to_pandas().head())
+```
+
+## Source & license
+
+- Original dataset: [`daniel-dona/ree-data`](https://huggingface.co/datasets/daniel-dona/ree-data)
+- Source card title / publisher: REE Iberian Peninsula Electricity Generation (2008–2026)
+- License: cc-by-4.0 (as declared by the original dataset).

ree_data_1.tsfile

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+oid sha256:f15c956f1aa7ea9598f0d7b93c2fddd7c3a4cbc6de3e0a498fb772a76ea63c1a
+size 5248918

ree_data_2.tsfile

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+version https://git-lfs.github.com/spec/v1
+oid sha256:574ecec38789080f527150fb69c2c9f8d479d253272012c63d820abfddfaa65e
+size 6266031

ree_data_3.tsfile

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a138f3e90efee60d71224f611fb3160436f9fc0470b32bbd22426775da096963
+size 6870065

ree_data_4.tsfile

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e675c01e6dfa716e601eabc13b9cc6e05743ce0a1469bb3f5128385edc25e230
+size 9057107

source_dataset_card.md

@@ -0,0 +1,98 @@
+---
+language:
+- en
+- es
+pretty_name: "REE Iberian Peninsula Electricity Generation (2008–2026)"
+tags:
+- electricity
+- energy
+- spain
+- iberia
+- generation
+- demand
+- time-series
+- renewables
+- power-grid
+size_categories:
+- 1M<n<10M
+task_categories:
+- time-series-forecasting
+license: cc-by-4.0
+---
+
+# REE Iberian Peninsula Electricity Generation
+
+Electricity **demand and generation by source** for the Iberian Peninsula, sourced from [REE (Red Eléctrica de España)](https://www.ree.es/). Covers **2008–present** at **5-minute resolution**, fully deduplicated.
+
+## Dataset Summary
+
+- **1,931,443 rows** × 38 columns
+- **Date range**: 2007-12-31 → 2026-05-14
+- **Resolution**: 5 minutes
+
+## Columns
+
+33 columns from the REE API, plus `ts` (timestamp). All values in **MW**.
+
+| Column | Description |
+|---|---|
+| `dem` | Total electricity demand |
+| `eol` | Wind (Eólica) |
+| `nuc` | Nuclear |
+| `gf` | Natural gas (Gas natural) |
+| `car` | Coal (Carbón) |
+| `cc` | Combined cycle (Ciclo combinado) |
+| `hid` | Hydropower (Hidráulica) — can be negative (net pumping) |
+| `sol` | Solar (legacy total; may overlap with `solFot` + `solTer`) |
+| `solFot` | Solar photovoltaic |
+| `solTer` | Solar thermal |
+| `termRenov` | Renewable thermal (biomass) |
+| `cogenResto` | Cogeneration & other |
+| `aut` | Self-generation (Autogeneración) |
+| `conb` | Pumped storage consumption |
+| `turb` | Pumped storage generation |
+| `gnhd` | Non-distributable hydro minus pumping |
+| `bat` | Battery discharge |
+| `consBat` | Battery charging |
+| `vap` | Steam (Vapor) |
+| `inter` | Net international exchange (positive = export) |
+| `icb` | Islanded consumption blocks |
+| `expAnd` / `expMar` / `expPor` / `expFra` / `expTot` | Exports by destination / total |
+| `impFra` / `impPor` / `impMar` / `impAnd` / `impTot` | Imports by origin / total |
+| `dif` | Balancing difference |
+
+## Column History
+
+The API schema has always contained all 33 columns, but several transitioned from zero to active (or vice versa) as infrastructure was built or reporting changed:
+
+| Column(s) | Change | Date |
+|---|---|---|
+| `icb` | zero → active | 2013-02-28 08:50 |
+| `sol` | zero → active (solar aggregate) | 2013-07-24 09:10 |
+| `solFot`, `solTer` | zero → active (solar split into PV + thermal; `sol` kept as legacy aggregate) | 2015-04-30 22:00 |
+| `termRenov`, `cogenResto` | zero → active | 2015-04-30 22:00 |
+| `gnhd`, `conb` | zero → active (pumped storage detail) | 2022-01-25 |
+| `turb` | zero → active (pumped storage turbine) | 2024-09-19 08:45 |
+| `exp*`, `imp*` | zero → active (per-country exchange breakdown) | 2024-09-18 02:00 |
+| `bat`, `consBat`, `dif` | zero → active (grid-scale batteries) | 2024-10-24 |
+| `vap` | zero → active (steam generation) | 2025-07-14 14:00 |
+| `gf` | active → zero (natural gas fuel discontinued) | 2024-10-01 13:00 |
+| `aut` | active → zero (self-generation reporting discontinued) | 2025-12-11 11:10 |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("daniel-dona/ree-data")
+```
+
+## Notes
+
+- **`hid` negative values** indicate net pumping (pumps consume more than turbines generate).
+- **`sol` vs `solFot`/`solTer`**: `sol` is a legacy aggregate. Prefer `solFot` + `solTer` for accurate solar.
+- Static snapshot as of 2026-05-14.
+
+## License
+
+**CC-BY-4.0**. Underlying data published by [REE](https://www.ree.es/) as open data.