| --- |
| license: mit |
| task_categories: |
| - robotics |
| - time-series-forecasting |
| language: |
| - en |
| tags: |
| - tsfile |
| - timeseries |
| - robotics |
| - embedded-systems |
| - ultrasonic |
| - autonomous-robot |
| - PIC16F877A |
| - time-series |
| - format:tsfile |
| pretty_name: Robot Sensor Telemetry Dataset (TsFile) |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: robot_sensor_telemetry |
| path: robot_sensor_telemetry.tsfile |
| --- |
| |
| # Robot Sensor Telemetry Dataset (TsFile) |
|
|
| Apache TsFile version of [`nuerrr/robot-sensor-telemetry`](https://huggingface.co/datasets/nuerrr/robot-sensor-telemetry). |
|
|
| ## Overview |
|
|
| This dataset contains real-time sensor telemetry collected from an autonomous robot built for CIE-349/408 Embedded Systems at Zewail City University of Science and Technology (Spring 2026). |
|
|
| - **Tables:** 1 TsFile table(s), 81 rows in total. |
| - `robot_sensor_telemetry`: 81 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:20 (UTC) |
|
|
| ## Schema (TsFile structure) |
|
|
| ### `robot_sensor_telemetry.tsfile` |
|
|
| - **Time** (INT64, milliseconds) — the source `timestamp_ms` column. |
| - **TAG**: none — the table is stored as a single device. |
| - **FIELD** (8): `front_cm` (int64), `rear_cm` (int64), `left_cm` (int64), `right_cm` (int64), `motor_state` (string), `face_verified` (int64), `tilt_warning` (int64), `fall_detected` (int64) |
|
|
| ## Conversion notes |
|
|
| - One CSV, one TsFile, single robot: no TAG column. |
| - Time = the source `timestamp_ms` (milliseconds since the telemetry session started, 250 ms sampling) stored as INT64 milliseconds. |
| - No column is dropped. |
|
|
| ## 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("robot_sensor_telemetry.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: [`nuerrr/robot-sensor-telemetry`](https://huggingface.co/datasets/nuerrr/robot-sensor-telemetry) |
| - Source card title / publisher: Robot Sensor Telemetry Dataset |
| - License: mit (as declared by the original dataset). |
|
|
