| ---
|
| license: apache-2.0
|
| task_categories:
|
| - robotics
|
| tags:
|
| - LeRobot
|
| - tsfile
|
| - timeseries
|
| - format:tsfile
|
| pretty_name: SP_Counting_200
|
| modality: timeseries
|
| configs:
|
| - config_name: default
|
| data_files:
|
| - split: train
|
| path: data/sp_counting_200.tsfile
|
| ---
|
|
|
| # SP_Counting_200 (TsFile)
|
|
|
| Apache TsFile version of [`justintiensmith/SP_Counting_200`](https://huggingface.co/datasets/justintiensmith/SP_Counting_200).
|
|
|
| ## Overview
|
|
|
| A [LeRobot](https://github.com/huggingface/lerobot) robot-manipulation dataset. The source card is auto-generated ("This dataset was created using LeRobot") and does not add a free-text description; the facts below are taken from the source `meta/info.json`.
|
|
|
| - **Robot:** so_follower
|
| - **Episodes:** 200
|
| - **Frames:** 96721
|
| - **Sampling rate:** 30 fps
|
| - **Splits:** a single `train` split
|
|
|
| ## Schema (TsFile structure)
|
|
|
| - **Time** (INT64, milliseconds) — `round(timestamp * 1000)`; the source `timestamp` column (seconds) is dropped because it equals `Time / 1000`.
|
| - **episode_index** (TAG), **task_index** (TAG) — device dimensions; query one episode with `WHERE episode_index = <n>`.
|
| - **frame_index** (FIELD, INT64), **sample_index** (FIELD, INT64, from the source `index`) — per-frame bookkeeping.
|
| - Vector columns (single-precision FLOAT, source name with `.` → `_` and an element index appended):
|
| - action → `action_0`..`action_5` (FLOAT)
|
| - observation.state → `observation_state_0`..`observation_state_5` (FLOAT)
|
|
|
| Camera video streams are **not** included in this repository; see the original dataset for the videos: https://huggingface.co/datasets/justintiensmith/SP_Counting_200 (`videos/` directory).
|
|
|
| ## 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("data/sp_counting_200.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: https://huggingface.co/datasets/justintiensmith/SP_Counting_200
|
| - Author / publisher: justintiensmith
|
| - License: apache-2.0
|
|
|
