commit files to HF hub

LICENSE

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+MIT License
+
+Copyright (c) 2022 CopeNLU
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

sufficient_facts.py

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+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# 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.
+
+import json
+import datasets
+
+
+# TODO: Add BibTeX citation
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {A great new dataset},
+author={huggingface, Inc.
+},
+year={2020}
+}
+"""
+
+# You can copy an official description
+_DESCRIPTION = """\
+SufficientFacts is a diagnostic test dataset for fact checking with insufficient evidence.
+"""
+
+_HOMEPAGE = "https://github.com/copenlu/sufficient_facts"
+
+_LICENSE = """MIT License
+Copyright (c) 2022 CopeNLU
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE."""
+
+_URLS = {
+    "fever": "https://raw.githubusercontent.com/copenlu/sufficient_facts/master/data/sufficient_facts/fever_sufficient_facts.jsonl",
+    "vitaminc": "https://raw.githubusercontent.com/copenlu/sufficient_facts/master/data/sufficient_facts/vitaminc_sufficient_facts.jsonl",
+    "hover": "https://raw.githubusercontent.com/copenlu/sufficient_facts/master/data/sufficient_facts/hover_sufficient_facts.jsonl",
+}
+
+
+class SufficientFacts(datasets.GeneratorBasedBuilder):
+    """SufficientFacts is a diagnostic test dataset for fact checking with insufficient evidence."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="fever", version=VERSION, description="FEVER test set."),
+        datasets.BuilderConfig(name="hover", version=VERSION, description="HoVer test set."),
+        datasets.BuilderConfig(name="vitaminc", version=VERSION, description="VitaminC test set."),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "claim": datasets.Value("string"),
+                "evidence": datasets.features.Sequence(datasets.features.Sequence(datasets.Value("string"))),
+                "label_before": datasets.Value("string"),
+                "label_after": datasets.Value("string"),
+                "type": datasets.Value("string"),
+                "removed": datasets.features.Sequence(datasets.Value("string")),
+                "text_orig": datasets.Value("string"),
+                "agreement": datasets.Value("string")
+            }
+        )
+
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=features,  # Here we define them above because they are different between the two configurations
+            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
+            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
+            # supervised_keys=("sentence", "label"),
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "test"
+                },
+            ),
+        ]
+
+    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            for key, row in enumerate(f):
+                data = json.loads(row)
+                yield key, data

types.json

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+{
+  "Adj-Adv": "PP",
+  "Mod-Adj-NOUN": "ADJM",
+  "Num-mod-CARDINAL": "NUMM",
+  "Num-mod-PERCENT": "NUMM",
+  "Mod-Date-month-day": "DATEM",
+  "Num-mod-": "NUMM",
+  "Mod-NOUN-NOUN": "NOUNM",
+  "Num-mod-DATE": "DATEM",
+  "WHNP": "SBAR",
+  "Mod-Date-day-month": "DATEM",
+  "Mod-Adv-VERB": "ADVM",
+  "WHADVP": "SBAR",
+  "ADVP": "SBAR",
+  "Mod-Date-year": "DATEM",
+  "Mod-Date-day": "DATEM",
+  "WHPP": "SBAR",
+  "Num-mod-TIME": "NUMM",
+  "SBAR": "SBAR",
+  "NP": "SBAR",
+  "Num-mod-MONEY": "NUMM",
+  "Num-mod-QUANTITY": "NUMM",
+  "Num-mod-LOC": "NUMM",
+  "Num-mod-PRODUCT": "NUMM",
+  "PP": "PP",
+  "S": "SBAR",
+  "SENT": "S"
+}