undo bound on total num games loaded

nba_tracking_data_15_16.py

@@ -11,7 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-# TODO: Address all TODOs and remove all explanatory comments
 """This is tracking data of the 2015-2016 NBA season"""
 
 import csv
@@ -47,9 +46,8 @@ res = requests.get(_URL)
 
 items = res.json()['payload']['tree']['items']
 
-# trying subset of games
 _URLS = {}
-for game in items[0:2]:
+for game in items:
   name = game['name'][:-3]
   _URLS[name] = _URL + "/" + name + ".7z"
 
@@ -167,13 +165,7 @@ class NbaTracking(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
-        
-        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
-        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
-        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        # urls = _URLS[self.config.name]
-        urls = self._URLS # trying Ouwen's format
+        urls = self._URLS
         data_dir = dl_manager.download_and_extract(urls)
         
         all_file_paths = {}
@@ -191,10 +183,8 @@ class NbaTracking(datasets.GeneratorBasedBuilder):
             )
         ]
 
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+   
     def _generate_examples(self, filepaths, split):
-        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         pbp_out = datasets.DownloadManager().download_and_extract(_PBP_URL)
         pbp = pd.read_csv(pbp_out)