THULab/spa_bench_partial_gr00t_n1_7_full_fine_tune
spa_bench_partial_gr00t_n1_7_full_fine_tune (TsFile) Apache TsFile version of justintiensmith/Spa_Bench_Partial_GR00T-N1.7_Full_Fine-Tune. Converted rows: 127,143 Data files: ['data/spa_bench_partial_gr00t_n1_7_full_fine_tune.tsfile'] Usage Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file: from pathlib import Path from tsfile import TsFileReader path = Path("data/spa_bench_partial_gr00t_n1_7_full_fine_tune.tsfile") with… See the full description on the dataset page: https://huggingface.co/datasets/THULab/spa_bench_partial_gr00t_n1_7_full_fine_tune.
spabenchpartialgr00tn17fullfinetune (TsFile)
Apache TsFile version of `justintiensmith/Spa_Bench_Partial_GR00T-N1.7_Full_Fine-Tune`.
- Converted rows: 127,143
- Data files:
['data/spa_bench_partial_gr00t_n1_7_full_fine_tune.tsfile']
Usage
Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:
from pathlib import Path
from tsfile import TsFileReader
path = Path("data/spa_bench_partial_gr00t_n1_7_full_fine_tune.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/SpaBenchPartialGR00T-N1.7Full_Fine-Tune
- License: apache-2.0
