Added openpi_v2.py

openpi_v2.py

@@ -0,0 +1,162 @@
+# coding=utf-8
+# Copyright 2022 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""Openpi V2: A Dataset for tracking state changes in prcedural text by using an unrestricted library"""
+
+import json
+import os
+import textwrap 
+
+import numpy as np
+
+import datasets
+
+_OPENPI_V2_CITATION = """\
+@inproceedings{
+    title={{OPENPI V2}: }
+	author={}
+	note={}
+	year={2022}
+}
+"""
+
+_OPENPI_V2_DESCRIPTION = """\
+TEMPORARY DESCRIPTION
+"""
+
+_LICENSE = "CC BY 4.0"
+_VERSION = "1.0.0"
+_HOMEPAGE = "https://allenai.org/data/openpi"
+_URL = "https://github.com/allenai/openpi_v2/tree/main/v2/data/"
+_DATA_FILES = {"train": "train-data.json"
+            "dev": "dev-data.json"
+            "test": "test-data.json"}
+
+
+class OpenpiConfig(datasets.BuilderConfig):
+    """BuilderConfig for Openpi V2."""
+
+    def __init__(
+        self, 
+        text_features,
+        data_url,
+        data_dir,
+        citation,
+        url,
+        process_label = lambda x: x,
+        **kwargs,
+    ):
+        
+        super(OpenpiConfig, self).__init__(version = datasets.Version(_VERSION), **kwargs)
+        self.text_features = text_features
+        self.data_url = data_url
+        self.data_dir = data_dir
+        self.citation = citation
+        self.url = url
+        self.process_label = process_label
+
+
+class OpenpiV2(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        OpenpiConfig(
+            name = "openpi_text"
+            description = textwrap.dedent(
+                """\
+            """
+            ),
+            text_features = datasets.Features({
+                "goal": datasets.Value("string"),
+                "steps": [datasets.Value("string")],
+                "topics": datasets.Value("string"),
+                "image_urls": [datasets.Value("string")],
+                "states": [
+                    datasets.features.Sequence(
+                        {
+                            "answers_openpiv1_metadata": datasets.features.Sequence(
+                                {
+                                    "entity": datasets.Value("string")
+                                    "attribute": datasets.Value("string")
+                                    "answers": [datasets.Value("string")]
+                                    "modality": [datasets.Value("string")]
+                                }
+                            ), 
+                            "entity": datasets.Value("string"),
+                            "attribute": datasets.Value("string"),
+                            "answers": [datasets.Value("string")]
+                        }
+                    )
+                ]
+            }),
+            data_url = _URL
+            citation = textwrap.dedent(
+                """\
+                @inproceedings{
+                    title={},
+                    author={},
+                    booktitle={},
+                    year={}
+                }"""
+            ),
+            url = _HOMEPAGE
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description = _OPENPI_V2_DESCRIPTION,
+            features = self.config.text_features,
+            supervised_keys = None,
+            homepage = self.config.url,
+            citation = self.config.citation + "\n" + _OPENPI_V2_CITATION
+        )
+
+    def _split_generators(self, dl_manager):
+        return [
+            datasets.SplitGenerator(
+                name = datasets.Split.TRAIN,
+                gen_kwargs = {
+                    "filepath": "./data/" + _DATA_FILES["train"]
+                },
+            ),
+            datasets.SplitGenerator(
+                name = datasets.Split.VALIDATION,
+                gen_kwargs = {
+                    "filepath": "./data/" + _DATA_FILES["dev"]
+                },
+            ),
+            datasets.SplitGenerator(
+                name = datasets.Split.TEST,
+                gen_kwargs = {
+                    "filepath": "./data/" + _DATA_FILES["test"]
+                }
+            ),
+        ]
+
+    def _generate_examples(self, filepath, files):
+        logger.info("generating examples from = %s", filepath)
+
+        for path, f in files:
+            if path == file_path:
+                openpi_v2 = json.loads(f.read().decode("utf-8"))
+                print(openpi_v2)
+
+                for id_ in openpi_v2:
+                    yield id_, openpi_v2[id_]
+                
+                break
+                    
+