Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
entity-linking-classification
Languages:
English
Size:
< 1K
License:
Update README.md
Browse files
README.md
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---
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license: other
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task_categories:
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- text-classification
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- feature-extraction
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language:
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- en
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tags:
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- Relation-classification
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- Relation-extraction
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- Scientific papers
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- Research papers
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pretty_name: >-
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Semeval2018Task7 is a dataset that describes the Semantic Relation Extraction
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and Classification in Scientific Papers
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size_categories:
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- 100K<n<1M
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---
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---
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annotations_creators:
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- expert-generated
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language:
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multilinguality:
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- monolingual
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paperswithcode_id: acronym-identification
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pretty_name: Semeval2018Task7 is a dataset that describes the Semantic Relation Extraction
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size_categories:
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- 10K<n<100K
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source_datasets: []
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- Semantic Relations Extraction
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- Entity Tagging
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task_categories:
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-
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task_ids:
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- semantic-similarity-classification
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-
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task_id: entity_extraction
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dataset_info:
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- config_name: subtask1_1
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features:
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- name: id
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dtype: string
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- name: title
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sequence: string
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- name: abstract
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sequence: string
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- name: entities
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sequence:
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- name: 'id'
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dtype: string
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- name: 'char_start'
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dtype: int
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- name: 'char_end'
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dtype: int
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- name: relation
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sequence:
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- name: 'label'
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dtype: string
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- name: 'arg1'
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dtype: string
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- name: 'arg2'
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dtype: string
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- name: 'reverse'
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dtype: 'bool'
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class_label:
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names:
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'0':
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'1': USAGE
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'2': RESULT
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'3': MODEL-FEATURE
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'4': PART_WHOLE
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'5': TOPIC
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'6': COMPARE
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- Splits:
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- name: train
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- text
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num_bytes: 460 KB
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num_examples: 2807
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- relations:
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num_bytes: 42.7 KB
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num_examples: 1228
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- name: test
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- text
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num_bytes: 203 KB
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num_examples: 1196
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- relations:
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num_bytes: 9.42 KB
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num_examples: 335
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-
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download_size: 714 KB
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- config_name: sub_task_1_2
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features:
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- name: id
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dtype: string
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- name: title
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sequence: string
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- name: abstract
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sequence: string
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- name: entities
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sequence:
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- name: 'id'
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dtype: string
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- name: 'char_start'
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dtype: int
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- name: 'char_end'
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dtype: int
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- name: relation
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sequence:
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- name: 'label'
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dtype: string
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- name: 'arg1'
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dtype: string
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- name: 'arg2'
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dtype: string
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- name: 'reverse'
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dtype: 'bool'
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```json
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class_label:
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names:
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'0':
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'1': USAGE
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'2': RESULT
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'3': MODEL-FEATURE
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'4': PART_WHOLE
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'5': TOPIC
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'6': COMPARE
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- Splits:
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- name: train
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- text
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num_bytes: 696 KB
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num_examples: 3326
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- relations:
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num_bytes: 42.1 KB
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num_examples: 1248
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- name: test
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- text
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num_bytes: 285 KB
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num_examples: 1193
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- relations:
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num_bytes: 9.51 KB
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num_examples: 355
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download_size: 1.00 MB
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---
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# Dataset Card for SemEval2018Task7
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## Table of Contents
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| 1 |
---
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| 2 |
annotations_creators:
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| 3 |
- expert-generated
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| 4 |
language:
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| 10 |
multilinguality:
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| 11 |
- monolingual
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| 12 |
paperswithcode_id: acronym-identification
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+
pretty_name: Semeval2018Task7 is a dataset that describes the Semantic Relation Extraction
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| 14 |
+
and Classification in Scientific Papers
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size_categories:
|
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- 10K<n<100K
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source_datasets: []
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- Semantic Relations Extraction
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- Entity Tagging
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task_categories:
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+
- text-classification
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task_ids:
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- semantic-similarity-classification
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- entity-linking-classification
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train-eval-index:
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- col_mapping:
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labels: tags
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tokens: tokens
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config: default
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splits:
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eval_split: test
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task: token-classification
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task_id: entity_extraction
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---
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# Dataset Card for SemEval2018Task7
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## Table of Contents
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