Upload every_prompt.py

every_prompt.py

@@ -0,0 +1,62 @@
+import json
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_DESCRIPTION = """\
+Every prompt dataset.
+Every Prompt is a data-driven approach to mining instructions from the web.
+It contains over a million FAQs and HowTos from around the world in a structured format.
+It also has basic pre-processing to calculate the length of the useful text and identify the language of that text with the help of GCLD3
+"""
+
+
+_URLS = [
+    "every_prompt_sample.jsonlines",
+]
+
+
+class EveryPromptDataset(datasets.GeneratorBasedBuilder):
+    """Every Prompt Dataset"""
+
+    VERSION = datasets.Version("1.0.0")
+    DEFAULT_CONFIG_NAME = "default"
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="default", version=VERSION, description=""),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "language": datasets.Value("string"),
+                    "language_is_reliable": datasets.Value("bool"),
+                    "text_length": datasets.Value("int32"),
+                    "data_length": datasets.Value("int32"),
+                    "text_to_data_ratio": datasets.Value("float32"),
+                    "url": datasets.Value("string"),
+                    "schema_type": datasets.Value("string"),
+                    "payload": {},
+                }
+            ),
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_URLS)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files}
+            )
+        ]
+
+    def _generate_examples(self, filepaths):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepaths)
+        for path in filepaths:
+            with open(path, encoding="utf-8") as f:
+                for instruction_str in f:
+                    instruction = json.loads(instruction_str)
+                    yield instruction["url"], instruction