feat: support non streamable arrow file binary format (#7025)

* feat: support non streamable arrow file binary format

Signed-off-by: Mehant Kammakomati <mehant.kammakomati2@ibm.com>

* use generator

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* feat: add unit test to load data in both arrow formats

Signed-off-by: Mehant Kammakomati <mehant.kammakomati2@ibm.com>

---------

Signed-off-by: Mehant Kammakomati <mehant.kammakomati2@ibm.com>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

src/datasets/packaged_modules/arrow/arrow.py

@@ -43,7 +43,11 @@ def _split_generators(self, dl_manager):
             if self.info.features is None:
                 for file in itertools.chain.from_iterable(files):
                     with open(file, "rb") as f:
-                        self.info.features = datasets.Features.from_arrow_schema(pa.ipc.open_stream(f).schema)
+                        try:
+                            reader = pa.ipc.open_stream(f)
+                        except pa.lib.ArrowInvalid:
+                            reader = pa.ipc.open_file(f)
+                    self.info.features = datasets.Features.from_arrow_schema(reader.schema)
                     break
             splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files}))
         return splits
@@ -59,7 +63,12 @@ def _generate_tables(self, files):
         for file_idx, file in enumerate(itertools.chain.from_iterable(files)):
             with open(file, "rb") as f:
                 try:
-                    for batch_idx, record_batch in enumerate(pa.ipc.open_stream(f)):
+                    try:
+                        batches = pa.ipc.open_stream(f)
+                    except pa.lib.ArrowInvalid:
+                        reader = pa.ipc.open_file(f)
+                        batches = (reader.get_batch(i) for i in range(reader.num_record_batches))
+                    for batch_idx, record_batch in enumerate(batches):
                         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}")

tests/packaged_modules/test_arrow.py

@@ -1,8 +1,53 @@
+import pyarrow as pa
 import pytest
 
 from datasets.builder import InvalidConfigName
 from datasets.data_files import DataFilesList
-from datasets.packaged_modules.arrow.arrow import ArrowConfig
+from datasets.packaged_modules.arrow.arrow import Arrow, ArrowConfig
+
+
+@pytest.fixture
+def arrow_file_streaming_format(tmp_path):
+    filename = tmp_path / "stream.arrow"
+    testdata = [[1, 1, 1], [0, 100, 6], [1, 90, 900]]
+
+    schema = pa.schema([pa.field("input_ids", pa.list_(pa.int32()))])
+    array = pa.array(testdata, type=pa.list_(pa.int32()))
+    table = pa.Table.from_arrays([array], schema=schema)
+    with open(filename, "wb") as f:
+        with pa.ipc.new_stream(f, schema) as writer:
+            writer.write_table(table)
+    return str(filename)
+
+
+@pytest.fixture
+def arrow_file_file_format(tmp_path):
+    filename = tmp_path / "file.arrow"
+    testdata = [[1, 1, 1], [0, 100, 6], [1, 90, 900]]
+
+    schema = pa.schema([pa.field("input_ids", pa.list_(pa.int32()))])
+    array = pa.array(testdata, type=pa.list_(pa.int32()))
+    table = pa.Table.from_arrays([array], schema=schema)
+    with open(filename, "wb") as f:
+        with pa.ipc.new_file(f, schema) as writer:
+            writer.write_table(table)
+    return str(filename)
+
+
+@pytest.mark.parametrize(
+    "file_fixture, config_kwargs",
+    [
+        ("arrow_file_streaming_format", {}),
+        ("arrow_file_file_format", {}),
+    ],
+)
+def test_arrow_generate_tables(file_fixture, config_kwargs, request):
+    arrow = Arrow(**config_kwargs)
+    generator = arrow._generate_tables([[request.getfixturevalue(file_fixture)]])
+    pa_table = pa.concat_tables([table for _, table in generator])
+
+    expected = {"input_ids": [[1, 1, 1], [0, 100, 6], [1, 90, 900]]}
+    assert pa_table.to_pydict() == expected
 
 
 def test_config_raises_when_invalid_name() -> None: