Upload texprax_dataset.py

texprax_dataset.py

@@ -42,36 +42,16 @@ _LICENSE = "Creative Commons Attribution-NonCommercial 4.0"
 
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URLS = {
-    "batch-1-zerspanung-sentences": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/zerspanung_sents_batch_1.csv",
-    "batch-1-industrie-sentences": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/industrie_sents_batch_1.csv",
-    "batch-2-sentences": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/sents_batch_2.csv",
-    "batch-3-sentences": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/sents_batch_3.csv",
-    "batch-1-zerspanung-entities": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/zerspanung_entities_batch_1.csv",
-    "batch-1-industrie-entities": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/industrie_entities_batch_1.csv",
-    "batch-2-entities": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/entities_batch_2.csv",
-    "batch-3-entities": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/entities_batch_3.csv",
-}
 
-_SENTENCE_URLS = {
-    "batch-1-zerspanung-sentences": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/zerspanung_sents_batch_1.csv",
-    "batch-1-industrie-sentences": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/industrie_sents_batch_1.csv",
-    "batch-2-sentences": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/sents_batch_2.csv",
-    "batch-3-sentences": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/sents_batch_3.csv",
-}
+_SENTENCE_URL = "https://tudatalib.ulb.tu-darmstadt.de/bitstream/handle/tudatalib/3534/texprax-sentences.zip?sequence=8&isAllowed=y"
 
-_ENTITY_URLS = {
-    "batch-1-zerspanung-entities": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/zerspanung_entities_batch_1.csv",
-    "batch-1-industrie-entities": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/industrie_entities_batch_1.csv",
-    "batch-2-entities": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/entities_batch_2.csv",
-    "batch-3-entities": "https://huggingface.co/datasets/UKPLab/TexPrax/blob/main/entities_batch_3.csv",
-}
+_ENTITY_URL = "https://tudatalib.ulb.tu-darmstadt.de/bitstream/handle/tudatalib/3534/texprax-ner.zip?sequence=9&isAllowed=y"
 
 class TexPraxConfig(datasets.BuilderConfig):
     """BuilderConfig for SuperGLUE."""
 
     def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
-        """BuilderConfig for SuperGLUE.
+        """BuilderConfig for TexPrax.
 
         Args:
         features: *list[string]*, list of the features that will appear in the
@@ -123,8 +103,8 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
         TexPraxConfig(
             name="named_entity_recognition",
             description="Sentence level annotations of the TexPrax dataset.",
-            features=["sentence"],
-            data_url=_SENTENCE_URLS,
+            features=["tokens"],
+            data_url=_ENTITY_URL,
         ),
         #datasets.BuilderConfig(name="sentence_classification", version=VERSION, description="Sentence level annotations of the TexPrax dataset."),
         #datasets.BuilderConfig(name="named_entity_recognition", version=VERSION, description="BIO-tagged named entites of the TexPrax dataset."),
@@ -177,7 +157,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
         # 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
         self.config.name == "sentence_classification":
-            urls = _URLS[self.config.name]
+            urls = _SENTENCE_URL
             data_dir = dl_manager.download_and_extract(urls)
             return [
                 datasets.SplitGenerator(
@@ -208,13 +188,13 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.TEST,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(data_dir, "sents_batch_2.csv"),
+                        "filepath": os.path.join(data_dir, "sents_batch_3.csv"),
                         "split": "batch-3"
                     },
                 ),
             ]
         else:
-            urls = _URLS[self.config.name]
+            urls = _ENTITY_URL
             data_dir = dl_manager.download_and_extract(urls)
             return [
                 datasets.SplitGenerator(
@@ -237,7 +217,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.VALIDATION,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(data_dir, "sents_entities_2.csv"),
+                        "filepath": os.path.join(data_dir, "entities_batch_2.csv"),
                         "split": "batch-2",
                     },
                 ),
@@ -245,7 +225,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.TEST,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(data_dir, "sents_entities_2.csv"),
+                        "filepath": os.path.join(data_dir, "entities_batch_3.csv"),
                         "split": "batch-3"
                     },
                 ),