Add urls of track files

mtg_jamendo.py

@@ -41,21 +41,20 @@ _HOMEPAGE = "https://github.com/MTG/mtg-jamendo-dataset"
 _LICENSE = "Apache License 2.0"
 
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-_URLS = {
+_URLS_DATA = {
     "train": {
-        "df": "https://huggingface.co/datasets/rkstgr/mtg-jamendo/resolve/main/data/train.tsv",
-        **{
             i: f"https://huggingface.co/datasets/rkstgr/mtg-jamendo/resolve/main/data/train/{i}.tar" for i in range(200)
-        }
     },
     "val": {
-        "df": "https://huggingface.co/datasets/rkstgr/mtg-jamendo/resolve/main/data/valid.tsv",
-        **{
             i: f"https://huggingface.co/datasets/rkstgr/mtg-jamendo/resolve/main/data/val/{i}.tar" for i in range(22)
-        }
     }
 }
 
+_URLS_TRACKS = {
+    "train": "https://huggingface.co/datasets/rkstgr/mtg-jamendo/raw/main/train.tsv",
+    "valid": "https://huggingface.co/datasets/rkstgr/mtg-jamendo/raw/main/valid.tsv"
+}
+
 
 class MtgJamendo(datasets.GeneratorBasedBuilder):
     """
@@ -89,7 +88,8 @@ class MtgJamendo(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        archive_path = dl_manager.download(_URLS)
+        archive_path = dl_manager.download(_URLS_DATA)
+        tracks_path = dl_manager.download(_URLS_TRACKS)
 
         # (Optional) In non-streaming mode, we can extract the archive locally to have actual local audio files:
         local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else {}
@@ -98,10 +98,10 @@ class MtgJamendo(datasets.GeneratorBasedBuilder):
             return {x["id"]: x for x in xs}
 
         train_tracks = to_dict(
-            pd.read_csv(local_extracted_archive["train"]["df"], sep="\t").to_dict("records")
+            pd.read_csv(tracks_path["train"], sep="\t").to_dict("records")
         )
         valid_tracks = to_dict(
-            pd.read_csv(local_extracted_archive["val"]["df"], sep="\t").to_dict("records")
+            pd.read_csv(tracks_path["valid"], sep="\t").to_dict("records")
         )
 
         train_splits = [
@@ -147,11 +147,11 @@ class MtgJamendo(datasets.GeneratorBasedBuilder):
                 "instruments": eval(tracks[_id]["instruments"]),
                 "moods": eval(tracks[_id]["moods"]),
                 "chunk_nr": tracks[_id]["chunk_nr"],
-                "audio": audio_path,
+                "audio": audio_path
             }
             yield _id, data
 
 
 if __name__ == '__main__':
     mtg = MtgJamendo()
-    mtg.download_and_prepare()
+    mtg.download_and_prepare(ignore_verifications=True)