Upload TexPrax.py

TexPrax.py

@@ -73,7 +73,8 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                     # Note: ID consists of <dialog-id_sentence-id_turn-id>
                     "id": datasets.Value("string"),
                     "sentence": datasets.Value("string"),
-                    "label": datasets.Value("string")
+                    "label": datasets.Value("string"),
+                    "subsplit": datasets.Value("string"),
                     # These are the features of your dataset like images, labels ...
                 }
             )
@@ -119,7 +120,8 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                                 "B-LOC",
                             ]
                         )
-                    )
+                    ),
+                    "subsplit": datasets.Value("string"),
                 }
             )
         return datasets.DatasetInfo(
@@ -152,32 +154,16 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.TRAIN,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(data_dir, "industrie_sents_batch_1.csv"),
-                        "split": "batch-1-industrie",
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir, "zerspanung_sents_batch_1.csv"),
-                        "split": "batch-1-zerspanung",
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir, "sents_batch_2.csv"),
-                        "split": "batch-2",
+                        "filepath": os.path.join(data_dir, "sents_train.csv"),
+                        "split": "train",
                     },
                 ),
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(data_dir, "sents_batch_3.csv"),
-                        "split": "batch-3"
+                        "filepath": os.path.join(data_dir, "sents_test.csv"),
+                        "split": "test"
                     },
                 ),
             ]
@@ -189,32 +175,15 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.TRAIN,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(data_dir, "industrie_entities_batch_1.csv"),
-                        "split": "batch-1-industrie",
+                        "filepath": os.path.join(data_dir, "entities_train.csv"),
+                        "split": "train",
                     },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir, "zerspanung_entities_batch_1.csv"),
-                        "split": "batch-1-zerspanung",
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir, "entities_batch_2.csv"),
-                        "split": "batch-2",
-                    },
-                ),
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
                     # These kwargs will be passed to _generate_examples
                     gen_kwargs={
-                        "filepath": os.path.join(data_dir, "entities_batch_3.csv"),
-                        "split": "batch-3"
+                        "filepath": os.path.join(data_dir, "entities_test.csv"),
+                        "split": "test"
                     },
                 ),
             ]
@@ -228,7 +197,6 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
             creader = csv.reader(f, delimiter=';', quotechar='"')
             next(creader) # skip header
             for key, row in enumerate(creader):
-                print(key, row)
                 if self.config.name == "sentence_cl":
                     idx, sentence, label = row
                     # Yields examples as (key, example) tuples
@@ -236,6 +204,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                         "id": idx,
                         "sentence": sentence,
                         "label": label,
+                        "subsplit": split,
                     }
                 else:
                     idx, sentence, labels = row
@@ -244,6 +213,7 @@ class TexPraxDataset(datasets.GeneratorBasedBuilder):
                         "id": idx,
                         "tokens": [t.strip() for t in ast.literal_eval(sentence)],
                         "entities": [l.strip() for l in ast.literal_eval(labels)],
+                        "subsplit": split,
                     }