Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

.gitattributes

@@ -0,0 +1,27 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

blended_skill_talk.py

@@ -0,0 +1,126 @@
+"""TODO(blended_skill_talk): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# TODO(blended_skill_talk): BibTeX citation
+_CITATION = """\
+@misc{smith2020evaluating,
+    title={Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills},
+    author={Eric Michael Smith and Mary Williamson and Kurt Shuster and Jason Weston and Y-Lan Boureau},
+    year={2020},
+    eprint={2004.08449},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+"""
+
+# TODO(blended_skill_talk):
+_DESCRIPTION = """\
+A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.
+"""
+_URL = "http://parl.ai/downloads/blended_skill_talk/blended_skill_talk.tar.gz"
+
+_TASK = ["convai2", "empathetic_dialogues", "wizard_of_wikipedia"]
+
+
+class BlendedSkillTalk(datasets.GeneratorBasedBuilder):
+    """TODO(blended_skill_talk): Short description of my dataset."""
+
+    # TODO(blended_skill_talk): Set up version.
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        # TODO(blended_skill_talk): Specifies the datasets.DatasetInfo object
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    "personas": datasets.features.Sequence(datasets.Value("string")),
+                    "additional_context": datasets.Value("string"),
+                    "previous_utterance": datasets.features.Sequence(datasets.Value("string")),
+                    "context": datasets.Value("string"),
+                    "free_messages": datasets.features.Sequence(datasets.Value("string")),
+                    "guided_messages": datasets.features.Sequence(datasets.Value("string")),
+                    "suggestions": datasets.features.Sequence({task: datasets.Value("string") for task in _TASK})
+                    # These are the features of your dataset like images, labels ...
+                }
+            ),
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage="https://parl.ai/projects/bst/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(blended_skill_talk): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        data_dir = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(data_dir, "train.json")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(data_dir, "valid.json")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(data_dir, "test.json")},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO(blended_skill_talk): Yields (key, example) tuples from the dataset
+        with open(filepath, encoding="utf-8") as f:
+            data = json.load(f)
+            for id_, row in enumerate(data):
+                personas = [row["personas"][1][0], row["personas"][1][1]]
+                dialogs = [dialog[1] for dialog in row["dialog"]]
+                free_messages = []
+                guided_messages = []
+
+                for i in range(len(dialogs) // 2):
+                    free_messages.append(dialogs[2 * i])
+                    guided_messages.append(dialogs[2 * i + 1])
+                context = row["context_dataset"]
+                add_context = row["additional_context"] if context == "wizard_of_wikipedia" else ""
+                previous_utterance = [row["free_turker_utterance"], row["guided_turker_utterance"]]
+                suggestions = row["suggestions"]
+                convai_suggestions = []
+                empathetic_suggestions = []
+                wow_suggestions = []
+                for i in range(len(suggestions) // 2):
+                    convai_suggestions.append(suggestions[2 * i + 1]["convai2"])
+                    empathetic_suggestions.append(suggestions[2 * i + 1]["empathetic_dialogues"])
+                    wow_suggestions.append(suggestions[2 * i + 1]["wizard_of_wikipedia"])
+                yield id_, {
+                    "personas": personas,
+                    "additional_context": add_context,
+                    "previous_utterance": previous_utterance,
+                    "context": context,
+                    "free_messages": free_messages,
+                    "guided_messages": guided_messages,
+                    "suggestions": {
+                        "convai2": convai_suggestions,
+                        "empathetic_dialogues": empathetic_suggestions,
+                        "wizard_of_wikipedia": wow_suggestions,
+                    },
+                }

dataset_infos.json

@@ -0,0 +1 @@
+{"default": {"description": "A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.\n", "citation": "@misc{smith2020evaluating,\n    title={Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills},\n    author={Eric Michael Smith and Mary Williamson and Kurt Shuster and Jason Weston and Y-Lan Boureau},\n    year={2020},\n    eprint={2004.08449},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://parl.ai/projects/bst/", "license": "", "features": {"personas": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "additional_context": {"dtype": "string", "id": null, "_type": "Value"}, "previous_utterance": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "free_messages": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "guided_messgaes": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "suggestions": {"feature": {"convai2": {"dtype": "string", "id": null, "_type": "Value"}, "empathetic_dialogues": {"dtype": "string", "id": null, "_type": "Value"}, "wizard_of_wikipedia": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "supervised_keys": null, "builder_name": "blended_skill_talk", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10621560, "num_examples": 4819, "dataset_name": "blended_skill_talk"}, "validation": {"name": "validation", "num_bytes": 2238122, "num_examples": 1009, "dataset_name": "blended_skill_talk"}, "test": {"name": "test", "num_bytes": 2214985, "num_examples": 980, "dataset_name": "blended_skill_talk"}}, "download_checksums": {"http://parl.ai/downloads/blended_skill_talk/blended_skill_talk.tar.gz": {"num_bytes": 38101408, "checksum": "5fbed0068ee89e2d43b93c3ecb341e784617033efa5e8e911a219d4eda6134a6"}}, "download_size": 38101408, "dataset_size": 15074667, "size_in_bytes": 53176075}}

dummy/1.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33151e4c21cb875a197d01f94d5e8ec07882c7c16aecbba5e11622ddcc3d6454
+size 55973