update dataset files

NASA_OSDR.py

@@ -529,7 +529,7 @@ class NasaOsdr(datasets.GeneratorBasedBuilder):
             downloaded_files = dl_manager.download_and_extract(
                 {
                     "train": {
-                        "file": os.path.join(self.config.data_url, 'train/samples.json'),
+                        "file": os.path.join(self.config.data_url, 'train/samples.csv'),
                     },
                 }
             )
@@ -544,15 +544,7 @@ class NasaOsdr(datasets.GeneratorBasedBuilder):
             ]
 
     def _generate_examples(self, file: str):
-        # df = pd.read_json(file, lines=True)
-        #
-        # with open
-        # for idx, row in df.iterrows():
-        #     _item = {**row.to_dict()}
-        #     yield idx, _ite
-
-        import json
-        with open(file, 'r') as file:
-            for idx, line in enumerate(file):
-                line_data = json.loads(line)
-                yield idx, line_data
+        df = pd.read_csv(file, index_col=0, low_memory=False)
+        for idx, row in df.iterrows():
+            _item = {**row.to_dict()}
+            yield idx, _item

data/train/experiments.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:586a3964123e2be44e80c272b9525b37b2bc2ad55a55fd3f75298b962e9cc6a4
-size 281085

data/train/samples.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a9ed0ecf965eb91a9f475b8190896b558a6d17079dad467fc1ba1ed23e5c19b7
-size 868940262

tests/test_nasa_osdr.py

@@ -33,12 +33,12 @@ def test_inherit_generator_base_builder_works():
 
 def test_generate_examples():
     dataset = NasaOsdr(name='experiments')
-    train_data = dataset._generate_examples(file='data/train/experiments.json')
+    train_data = dataset._generate_examples(file='data/train/experiments.csv')
     idx, sample = next(iter(train_data))
     print(idx, sample.keys())
 
     dataset = NasaOsdr(name='samples')
-    train_data = dataset._generate_examples(file='data/train/samples.json')
+    train_data = dataset._generate_examples(file='data/train/samples.csv')
     idx, sample = next(iter(train_data))
     print(idx, sample.keys())