Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+languages:
+- en
+licenses:
+- mit
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- structure-prediction
+task_ids:
+- structure-prediction-other-acronym-identification
+---
+
+# Dataset Card Creation Guide
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** https://sites.google.com/view/sdu-aaai21/shared-task
+- **Repository:** https://github.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI
+- **Paper:** https://arxiv.org/pdf/2010.14678v1.pdf
+- **Leaderboard:** https://competitions.codalab.org/competitions/26609
+- **Point of Contact:** [More Information Needed]
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+A sample training set is provided below
+
+```
+{'id': 'TR-0',
+ 'labels': [4, 4, 4, 4, 0, 2, 2, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4],
+ 'tokens': ['What',
+  'is',
+  'here',
+  'called',
+  'controlled',
+  'natural',
+  'language',
+  '(',
+  'CNL',
+  ')',
+  'has',
+  'traditionally',
+  'been',
+  'given',
+  'many',
+  'different',
+  'names',
+  '.']}
+```
+
+Please note that in test set sentence only id, tokens are available. labels can be ignored for test set.
+Labels in the test set are all `O`
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+[More Information Needed]
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]

acronym_identification.py

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+# coding=utf-8
+# Copyright 2020 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
+import json
+
+import datasets
+
+
+_DESCRIPTION = """\
+Acronym identification training and development sets for the acronym identification task at SDU@AAAI-21.
+"""
+_HOMEPAGE_URL = "https://github.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI"
+_CITATION = """\
+@inproceedings{veyseh-et-al-2020-what,
+   title={{What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation}},
+   author={Amir Pouran Ben Veyseh and Franck Dernoncourt and Quan Hung Tran and Thien Huu Nguyen},
+   year={2020},
+   booktitle={Proceedings of COLING},
+   link={https://arxiv.org/pdf/2010.14678v1.pdf}
+}
+"""
+
+_TRAIN_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/train.json"
+_VALID_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/dev.json"
+_TEST_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/test.json"
+
+
+class AcronymIdentification(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "tokens": datasets.Sequence(datasets.Value("string")),
+                    "labels": datasets.Sequence(
+                        datasets.ClassLabel(names=["B-long", "B-short", "I-long", "I-short", "O"])
+                    ),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        train_path = dl_manager.download_and_extract(_TRAIN_URL)
+        valid_path = dl_manager.download_and_extract(_VALID_URL)
+        test_path = dl_manager.download_and_extract(_TEST_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"datapath": train_path, "datatype": "train"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"datapath": valid_path, "datatype": "valid"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"datapath": test_path, "datatype": "test"},
+            ),
+        ]
+
+    def _generate_examples(self, datapath, datatype):
+        with open(datapath, encoding="utf-8") as f:
+            data = json.load(f)
+
+        for sentence_counter, d in enumerate(data):
+            resp = {
+                "id": d["id"],
+                "tokens": d["tokens"],
+            }
+            if datatype != "test":
+                resp["labels"] = d["labels"]
+            else:
+                resp["labels"] = ["O"] * len(d["tokens"])
+            yield sentence_counter, resp

dataset_infos.json

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+{"default": {"description": "Acronym identification training and development sets for the acronym identification task at SDU@AAAI-21.\n", "citation": "@inproceedings{veyseh-et-al-2020-what,\n   title={{What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation}},\n   author={Amir Pouran Ben Veyseh and Franck Dernoncourt and Quan Hung Tran and Thien Huu Nguyen},\n   year={2020},\n   booktitle={Proceedings of COLING},\n   link={https://arxiv.org/pdf/2010.14678v1.pdf}\n}\n", "homepage": "https://github.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "labels": {"feature": {"num_classes": 5, "names": ["B-long", "B-short", "I-long", "I-short", "O"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "acronym_identification", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7792803, "num_examples": 14006, "dataset_name": "acronym_identification"}, "validation": {"name": "validation", "num_bytes": 952705, "num_examples": 1717, "dataset_name": "acronym_identification"}, "test": {"name": "test", "num_bytes": 987728, "num_examples": 1750, "dataset_name": "acronym_identification"}}, "download_checksums": {"https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/train.json": {"num_bytes": 7134043, "checksum": "2a48182187235167e8cbfa71e13c5c9882c4cabdefd2148edace2a50ccd8bbcd"}, "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/dev.json": {"num_bytes": 873517, "checksum": "950000511ddab850170c85ae99c7ceb775e8bed6846482e06e47a8f99b16f8c2"}, "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/test.json": {"num_bytes": 548904, "checksum": "5a37584eaa56ac23ffef23de7109d07bac6a19928eda96184348d89a01c82671"}}, "download_size": 8556464, "post_processing_size": null, "dataset_size": 9733236, "size_in_bytes": 18289700}}

dummy/1.0.0/dummy_data.zip

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