Remove script from this dataset

oo-method-test.py

@@ -1,61 +0,0 @@
-#!/usr/bin/python
-
-import datasets
-
-import pyarrow as pa
-import pyarrow.parquet as pq
-
-_DATA_FILES = ['data/combined-00009-of-00013-97a88bccf4215954.parquet',
- 'data/combined-00004-of-00013-119d653561443d7b.parquet',
- 'data/combined-00007-of-00013-ab54cce4ee6331d0.parquet',
- 'data/combined-00002-of-00013-149f5d0d22fe8f52.parquet',
- 'data/combined-00003-of-00013-426af6f6064e67dd.parquet',
- 'data/combined-00010-of-00013-89d7565c5f0d2e4e.parquet',
- 'data/combined-00000-of-00013-36d239509fb9e430.parquet',
- 'data/combined-00005-of-00013-363bba92a2b7f737.parquet',
- 'data/combined-00006-of-00013-4d4d574c9d87176e.parquet',
- 'data/combined-00001-of-00013-d5b44e96ad7d2927.parquet',
- 'data/combined-00012-of-00013-84cf41ef75dd5b76.parquet',
- 'data/combined-00011-of-00013-4c21766cedd5a4a0.parquet',
- 'data/combined-00008-of-00013-674f74b6f2288c61.parquet']
-
-class OOMethodTestDataset(datasets.ArrowBasedBuilder):
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    def _info(self):
-        return datasets.DatasetInfo()
-
-    def _split_generators(self, dl_manager):
-        files = _DATA_FILES
-        downloaded_files = dl_manager.download(files)
-
-        #print(files)
-        #print(downloaded_files)
-
-        return [
-            datasets.SplitGenerator(
-                name="combined",
-                gen_kwargs={
-                    "files": downloaded_files,
-                },
-            ),
-        ]
-    
-    def _generate_tables(self, files):
-        for file_idx, file in enumerate(files):
-            with open(file, "rb") as f:
-                parquet_file = pq.ParquetFile(f)
-                try:
-                    for batch_idx, record_batch in enumerate(
-                        parquet_file.iter_batches(batch_size=10_000)
-                    ):
-                        pa_table = pa.Table.from_batches([record_batch])
-                        # Uncomment for debugging (will print the Arrow table size and elements)
-                        # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
-                        # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
-                        yield f"{file_idx}_{batch_idx}", pa_table
-                except ValueError as e:
-                    #logger.error(f"Failed to read file '{file}' with error {type(e)}: {e}")
-                    raise
-