del

OpenSERP-v1.py

@@ -1,58 +0,0 @@
-from datasets import (
-    DatasetBuilder,
-    GeneratorBasedBuilder,
-    DatasetInfo,
-    Sequence,
-    Split,
-    SplitGenerator,
-    DownloadManager,
-    Features,
-    Value,
-    Version,
-)
-import os
-
-
-_DESCRIPTION = """\
-OpenSERP-v1 is a large dataset of over one billion embeddings designed to power a webscale information retrieval systems.
-"""
-
-
-class MyDataset(GeneratorBasedBuilder):
-    VERSION = Version("1.0.0")
-
-    def _info(self):
-        return DatasetInfo(
-            description=_DESCRIPTION,
-            # Specify dataset features here
-            features=Features(
-                {
-                    "id": Value("string"),
-                    "url": Value("string"),
-                    "title": Value("string"),
-                    "metadata": Value("string"),
-                    "dataset": Value("string"),
-                    "text_chunks": Sequence(Value("string")),
-                    "embeddings": Sequence(Value("float")),
-                }
-            ),
-        )
-
-    def _split_generators(self, dl_manager: DownloadManager):
-        # Define dataset splits and where to find them
-        return [
-            SplitGenerator(
-                name=Split.TRAIN,
-                gen_kwargs={"filepath": "arxiv"},
-            ),
-            # Add other splits/folders as needed
-        ]
-
-    def _generate_examples(self, filepath):
-        # Generate data examples from files
-        for filename in os.listdir(filepath):
-            file_path = os.path.join(filepath, filename)
-            with open(file_path, encoding="utf-8") as f:
-                data = f.read()
-                # Process and yield each example
-                yield filename, {"text": data}