Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
relation-extraction
License:
system HF staff commited on
Commit
8ffe18f
0 Parent(s):

Update files from the datasets library (from 1.2.0)

Browse files

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

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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - expert-generated
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+ languages:
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+ - en
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+ licenses: []
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 1K<n<10K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - other
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+ task_ids:
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+ - other-other-relation-extraction
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+ ---
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+
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+ # Dataset Card for [DialogRE]
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
25
+ - [Dataset Summary](#dataset-summary)
26
+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
30
+ - [Data Fields](#data-instances)
31
+ - [Data Splits](#data-instances)
32
+ - [Dataset Creation](#dataset-creation)
33
+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
35
+ - [Annotations](#annotations)
36
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
37
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
38
+ - [Social Impact of Dataset](#social-impact-of-dataset)
39
+ - [Discussion of Biases](#discussion-of-biases)
40
+ - [Other Known Limitations](#other-known-limitations)
41
+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
43
+ - [Licensing Information](#licensing-information)
44
+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
47
+
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+ - **Homepage:** [Github](https://github.com/nlpdata/dialogre)
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+ - **Repository:** [Github](https://github.com/nlpdata/dialogre)
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+ - **Paper:** [Arxiv](https://arxiv.org/abs/2004.08056v1)
51
+ - **Leaderboard:**
52
+ - **Point of Contact:**
53
+
54
+ ### Dataset Summary
55
+
56
+ [More Information Needed]
57
+
58
+ ### Supported Tasks and Leaderboards
59
+
60
+ [More Information Needed]
61
+
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+ ### Languages
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+
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+ [More Information Needed]
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ * `dialog`
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+
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+ * List of dialog spoken between two speakers
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+
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+ * List of annotations per dialog per argument
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+
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+ * `x` : First entity
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+
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+ * `y` : Second entity
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+
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+ * `x_type` : First entity type
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+ * `y_type`: Second entity type
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+ * `r` : List of relations
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+ * `rid`: List of relation IDs
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+ * `t`: List of relation Trigger words
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+
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+ ### Data Splits
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+
92
+ [More Information Needed]
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+
94
+ ## Dataset Creation
95
+
96
+ ### Curation Rationale
97
+
98
+ [More Information Needed]
99
+
100
+ ### Source Data
101
+
102
+ #### Initial Data Collection and Normalization
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+
104
+ [More Information Needed]
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+
106
+ #### Who are the source language producers?
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+
108
+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
114
+ [More Information Needed]
115
+
116
+ #### Who are the annotators?
117
+
118
+ [More Information Needed]
119
+
120
+ ### Personal and Sensitive Information
121
+
122
+ [More Information Needed]
123
+
124
+ ## Considerations for Using the Data
125
+
126
+ ### Social Impact of Dataset
127
+
128
+ [More Information Needed]
129
+
130
+ ### Discussion of Biases
131
+
132
+ [More Information Needed]
133
+
134
+ ### Other Known Limitations
135
+
136
+ [More Information Needed]
137
+
138
+ ## Additional Information
139
+
140
+ ### Dataset Curators
141
+
142
+ [More Information Needed]
143
+
144
+ ### Licensing Information
145
+
146
+ [More Information Needed]
147
+
148
+ ### Citation Information
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+
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+ [More Information Needed]
dataset_infos.json ADDED
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+ {"dialog_re": {"description": "DialogRE is the first human-annotated dialogue based relation extraction (RE) dataset aiming\nto support the prediction of relation(s) between two arguments that appear in a dialogue.\nThe dataset annotates all occurrences of 36 possible relation types that exist between pairs\nof arguments in the 1,788 dialogues originating from the complete transcripts of Friends.\n", "citation": "@inproceedings{yu2020dialogue,\n title={Dialogue-Based Relation Extraction},\n author={Yu, Dian and Sun, Kai and Cardie, Claire and Yu, Dong},\n booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},\n year={2020},\n url={https://arxiv.org/abs/2004.08056v1}\n}\n", "homepage": "https://github.com/nlpdata/dialogre", "license": "https://github.com/nlpdata/dialogre/blob/master/license.txt", "features": {"dialog": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "relation_data": {"feature": {"x": {"dtype": "string", "id": null, "_type": "Value"}, "y": {"dtype": "string", "id": null, "_type": "Value"}, "x_type": {"dtype": "string", "id": null, "_type": "Value"}, "y_type": {"dtype": "string", "id": null, "_type": "Value"}, "r": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "rid": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "t": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "dialog_re", "config_name": "dialog_re", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1520940, "num_examples": 1073, "dataset_name": "dialog_re"}, "test": {"name": "test", "num_bytes": 472306, "num_examples": 357, "dataset_name": "dialog_re"}, "validation": {"name": "validation", "num_bytes": 490580, "num_examples": 358, "dataset_name": "dialog_re"}}, "download_checksums": {"https://raw.githubusercontent.com/nlpdata/dialogre/master/data_v2/en/data/train.json": {"num_bytes": 2338606, "checksum": "94b5799642107f9afecc5c46655d6d9612f41969893deff291b15a66298c08a0"}, "https://raw.githubusercontent.com/nlpdata/dialogre/master/data_v2/en/data/dev.json": {"num_bytes": 751932, "checksum": "3e0036a1853f33dd8fab1f008ff3c3b351f0b53e9084a6f6bce7b4c95d0f0472"}, "https://raw.githubusercontent.com/nlpdata/dialogre/master/data_v2/en/data/test.json": {"num_bytes": 725696, "checksum": "180e766323d2b5ae4763c77b2db280eeb49c909ab48c7393fbc309b7890061af"}}, "download_size": 3816234, "post_processing_size": null, "dataset_size": 2483826, "size_in_bytes": 6300060}}
dialog_re.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
5
+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
7
+ #
8
+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
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+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
12
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+
16
+ """DialogRE: the first human-annotated dialogue-based relation extraction dataset"""
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+
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+ from __future__ import absolute_import, division, print_function
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+
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+ import json
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+ import os
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+
23
+ import datasets
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+
25
+
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+ _CITATION = """\
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+ @inproceedings{yu2020dialogue,
28
+ title={Dialogue-Based Relation Extraction},
29
+ author={Yu, Dian and Sun, Kai and Cardie, Claire and Yu, Dong},
30
+ booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
31
+ year={2020},
32
+ url={https://arxiv.org/abs/2004.08056v1}
33
+ }
34
+ """
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+
36
+ _DESCRIPTION = """\
37
+ DialogRE is the first human-annotated dialogue based relation extraction (RE) dataset aiming
38
+ to support the prediction of relation(s) between two arguments that appear in a dialogue.
39
+ The dataset annotates all occurrences of 36 possible relation types that exist between pairs
40
+ of arguments in the 1,788 dialogues originating from the complete transcripts of Friends.
41
+ """
42
+
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+ _HOMEPAGE = "https://github.com/nlpdata/dialogre"
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+
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+ _LICENSE = "https://github.com/nlpdata/dialogre/blob/master/license.txt"
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+
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+ _URL = "https://raw.githubusercontent.com/nlpdata/dialogre/master/data_v2/en/data/"
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+ _URLs = {
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+ "train": _URL + "train.json",
50
+ "dev": _URL + "dev.json",
51
+ "test": _URL + "test.json",
52
+ }
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+
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+
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+ class DialogREConfig(datasets.BuilderConfig):
56
+ """BuilderConfig for DialogRE"""
57
+
58
+ def __init__(self, **kwargs):
59
+ """BuilderConfig for DialogRE.
60
+ Args:
61
+ **kwargs: keyword arguments forwarded to super.
62
+ """
63
+ super(DialogREConfig, self).__init__(**kwargs)
64
+
65
+
66
+ class DialogRE(datasets.GeneratorBasedBuilder):
67
+ """DialogRE: Human-annotated dialogue-based relation extraction dataset Version 2"""
68
+
69
+ VERSION = datasets.Version("1.1.0")
70
+
71
+ BUILDER_CONFIGS = [
72
+ DialogREConfig(
73
+ name="dialog_re",
74
+ version=datasets.Version("1.1.0"),
75
+ description="DialogRE: Human-annotated dialogue-based relation extraction dataset",
76
+ ),
77
+ ]
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+
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+ def _info(self):
80
+ return datasets.DatasetInfo(
81
+ description=_DESCRIPTION,
82
+ features=datasets.Features(
83
+ {
84
+ "dialog": datasets.Sequence(datasets.Value("string")),
85
+ "relation_data": datasets.Sequence(
86
+ {
87
+ "x": datasets.Value("string"),
88
+ "y": datasets.Value("string"),
89
+ "x_type": datasets.Value("string"),
90
+ "y_type": datasets.Value("string"),
91
+ "r": datasets.Sequence(datasets.Value("string")),
92
+ "rid": datasets.Sequence(datasets.Value("int32")),
93
+ "t": datasets.Sequence(datasets.Value("string")),
94
+ }
95
+ ),
96
+ }
97
+ ),
98
+ supervised_keys=None,
99
+ homepage=_HOMEPAGE,
100
+ license=_LICENSE,
101
+ citation=_CITATION,
102
+ )
103
+
104
+ def _split_generators(self, dl_manager):
105
+ """Returns SplitGenerators."""
106
+
107
+ data_dir = dl_manager.download_and_extract(_URLs)
108
+ return [
109
+ datasets.SplitGenerator(
110
+ name=datasets.Split.TRAIN,
111
+ gen_kwargs={
112
+ "filepath": os.path.join(data_dir["train"]),
113
+ "split": "train",
114
+ },
115
+ ),
116
+ datasets.SplitGenerator(
117
+ name=datasets.Split.TEST,
118
+ gen_kwargs={"filepath": os.path.join(data_dir["test"]), "split": "test"},
119
+ ),
120
+ datasets.SplitGenerator(
121
+ name=datasets.Split.VALIDATION,
122
+ gen_kwargs={
123
+ "filepath": os.path.join(data_dir["dev"]),
124
+ "split": "dev",
125
+ },
126
+ ),
127
+ ]
128
+
129
+ def _generate_examples(self, filepath, split):
130
+ """ Yields examples. """
131
+
132
+ with open(filepath, encoding="utf-8") as f:
133
+ dataset = json.load(f)
134
+
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+ for id_, data in enumerate(dataset):
136
+ dialog = data[0]
137
+ relation_data = data[1]
138
+
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+ yield id_, {
140
+ "dialog": dialog,
141
+ "relation_data": relation_data,
142
+ }
dummy/dialog_re/1.1.0/dummy_data.zip ADDED
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+ size 2962