Update mdm_data.py

mdm_data.py

@@ -18,7 +18,7 @@ _DESCRIPTION = """\
 """
 _HOMEPAGE = "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/"
 _LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)"
-_DATA_URL = "https://s3.amazonaws.com/research.metamind.io/wikitext"
+_DATA_URL = "https://huggingface.co/datasets/alescontrela/mdm_data/tree/main"
 
 
 class MDMDataConfig(datasets.BuilderConfig):
@@ -30,7 +30,7 @@ class MDMDataConfig(datasets.BuilderConfig):
           data_url: `string`, url to the dataset (word or raw level)
           **kwargs: keyword arguments forwarded to super.
         """
-        super(WikitextConfig, self).__init__(
+        super(MDMDataConfig, self).__init__(
             version=datasets.Version(
                 "1.0.0",
             ),
@@ -46,26 +46,9 @@ class MDMData(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("0.1.0")
     BUILDER_CONFIGS = [
         WikitextConfig(
-            name="wikitext-103-v1",
-            data_url=_DATA_URL + "/" + "wikitext-103-v1.zip",
-            description="Word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
-        ),
-        WikitextConfig(
-            name="wikitext-2-v1",
-            data_url=_DATA_URL + "/" + "wikitext-2-v1.zip",
-            description="Word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
-        ),
-        WikitextConfig(
-            name="wikitext-103-raw-v1",
-            data_url=_DATA_URL + "/" + "wikitext-103-raw-v1.zip",
-            description="Raw level dataset: the raw tokens before the addition of <unk> tokens. "
-            "They should only be used for character level work or for creating newly derived datasets.",
-        ),
-        WikitextConfig(
-            name="wikitext-2-raw-v1",
-            data_url=_DATA_URL + "/" + "wikitext-2-raw-v1.zip",
-            description="Raw level dataset: the raw tokens before the addition of <unk> tokens. "
-            "They should only be used for character level work or for creating newly derived datasets.",
+            name="MDM Data",
+            data_url=_DATA_URL + "/" + "HumanML3D.zip",
+            description="Text to motion dataset.",
         ),
     ]
 
@@ -95,83 +78,23 @@ class MDMData(datasets.GeneratorBasedBuilder):
         # TODO(wikitext): Downloads the data and defines the splits
         # dl_manager is a datasets.download.DownloadManager that can be used to
         # download and extract URLs
-        if self.config.name == "wikitext-103-v1":
-            data_file = dl_manager.download_and_extract(self.config.data_url)
-            data_dir = os.path.join(data_file, "wikitext-103")
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.tokens"), "split": "train"},
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.tokens"), "split": "valid"},
-                ),
-            ]
-        else:
-            if self.config.name == "wikitext-103-raw-v1":
-                data_file = dl_manager.download_and_extract(self.config.data_url)
-                data_dir = os.path.join(data_file, "wikitext-103-raw")
-                return [
-                    datasets.SplitGenerator(
-                        name=datasets.Split.TEST,
-                        gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
-                    ),
-                    datasets.SplitGenerator(
-                        name=datasets.Split.TRAIN,
-                        gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
-                    ),
-                    datasets.SplitGenerator(
-                        name=datasets.Split.VALIDATION,
-                        gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
-                    ),
-                ]
-            else:
-                if self.config.name == "wikitext-2-raw-v1":
-                    data_file = dl_manager.download_and_extract(self.config.data_url)
-                    data_dir = os.path.join(data_file, "wikitext-2-raw")
-                    return [
-                        datasets.SplitGenerator(
-                            name=datasets.Split.TEST,
-                            gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
-                        ),
-                        datasets.SplitGenerator(
-                            name=datasets.Split.TRAIN,
-                            gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
-                        ),
-                        datasets.SplitGenerator(
-                            name=datasets.Split.VALIDATION,
-                            gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
-                        ),
-                    ]
-                else:
-                    if self.config.name == "wikitext-2-v1":
-                        data_file = dl_manager.download_and_extract(self.config.data_url)
-                        data_dir = os.path.join(data_file, "wikitext-2")
-                        return [
-                            datasets.SplitGenerator(
-                                name=datasets.Split.TEST,
-                                gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
-                            ),
-                            datasets.SplitGenerator(
-                                name=datasets.Split.TRAIN,
-                                gen_kwargs={
-                                    "data_file": os.path.join(data_dir, "wiki.train.tokens"),
-                                    "split": "train",
-                                },
-                            ),
-                            datasets.SplitGenerator(
-                                name=datasets.Split.VALIDATION,
-                                gen_kwargs={
-                                    "data_file": os.path.join(data_dir, "wiki.valid.tokens"),
-                                    "split": "valid",
-                                },
-                            ),
-                        ]
+        data_file = dl_manager.download_and_extract(self.config.data_url)
+        data_dir = os.path.join(data_file, "HumanML3D.zip")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.tokens"), "split": "train"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.tokens"), "split": "valid"},
+            ),
+        ]
+
 
     def _generate_examples(self, data_file, split):