Add loader script

Signed-off-by: Diwank Singh Tomer <diwank.singh@gmail.com>

silicone-merged.py

@@ -0,0 +1,95 @@
+# silicone-merged.py
+
+## About: This is a dataset script for diwank/silicone-merged
+## Docs: https://huggingface.co/docs/datasets/dataset_script.html
+
+
+"""Merged and simplified dialog act datasets from the silicone collection."""
+
+
+import csv
+import os
+
+import datasets
+
+_DESCRIPTION = """\
+Merged and simplified dialog act datasets from the silicone collection.
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/diwank/silicone-merged"
+_LICENSE = "MIT"
+
+_URLS = [
+    "https://huggingface.co/datasets/diwank/silicone-merged/resolve/main/train.csv",
+    "https://huggingface.co/datasets/diwank/silicone-merged/resolve/main/validation.csv",
+    "https://huggingface.co/datasets/diwank/silicone-merged/resolve/main/test.csv",
+]
+
+class SiliconeMergedDataset(datasets.GeneratorBasedBuilder):
+    """Merged and simplified dialog act datasets from the silicone collection."""
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="default", version=VERSION, description="default config"),
+    ]
+
+    DEFAULT_CONFIG_NAME = "default"
+
+
+    def _info(self):
+        
+        features = datasets.Features(
+            {
+                "text_a": datasets.Value("string"),
+                "text_b": datasets.Value("string"),
+                "labels": datasets.Value("int64")
+            }
+        )
+        
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=("text_b", "labels"),
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        # 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]
+        data_dir = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "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, "test.csv"),
+                    "split": "test"
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "validation.csv"),
+                    "split": "validation",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.reader(f)
+            for key, data in enumerate(reader):
+                yield key, data