albertvillanova
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julien-c
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Fix `license` metadata (#1)

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- Fix `license` metadata (383d651274eb89aa6c5f74b8aec13f0f076b4ce5)


Co-authored-by: Julien Chaumond

Files changed (1) hide show
  1. README.md +104 -104
README.md CHANGED
@@ -1,105 +1,105 @@
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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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- - machine-generated
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- languages:
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- - en
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- licenses:
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- - unknown
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- multilinguality:
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- - monolingual
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- pretty_name: STAN Small
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- size_categories:
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- - unknown
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- source_datasets:
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- - original
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- task_categories:
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- - structure-prediction
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- - conditional-text-generation
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- task_ids:
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- - structure-prediction-other-word-segmentation
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- ---
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-
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- # Dataset Card for STAN Small
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-
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- ## Table of Contents
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- - [Table of Contents](#table-of-contents)
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- - [Dataset Description](#dataset-description)
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- - [Dataset Summary](#dataset-summary)
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- - [Languages](#languages)
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- - [Dataset Structure](#dataset-structure)
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- - [Data Instances](#data-instances)
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- - [Data Fields](#data-fields)
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- - [Dataset Creation](#dataset-creation)
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- - [Additional Information](#additional-information)
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- - [Citation Information](#citation-information)
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- - [Contributions](#contributions)
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-
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- ## Dataset Description
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-
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- - **Repository:** [mounicam/hashtag_master](https://github.com/mounicam/hashtag_master)
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- - **Paper:** [Multi-task Pairwise Neural Ranking for Hashtag Segmentation](https://aclanthology.org/P19-1242/)
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-
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- ### Dataset Summary
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-
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- Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
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-
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- ### Languages
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-
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- English
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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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- ```
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- {
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- "index": 300,
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- "hashtag": "microsoftfail",
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- "segmentation": "microsoft fail",
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- "alternatives": {
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- "segmentation": [
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- "Microsoft fail"
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- ]
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- }
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- }
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- ```
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-
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- ### Data Fields
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-
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- - `index`: a numerical index.
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- - `hashtag`: the original hashtag.
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- - `segmentation`: the gold segmentation for the hashtag.
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- - `alternatives`: other segmentations that are also accepted as a gold segmentation.
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-
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- Although `segmentation` has exactly the same characters as `hashtag` except for the spaces, the segmentations inside `alternatives` may have characters corrected to uppercase.
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-
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- ## Dataset Creation
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-
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- - All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`.
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-
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- - The only difference between `hashtag` and `segmentation` or between `identifier` and `segmentation` are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.
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-
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- - There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ).
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-
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- - If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field.
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-
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- ## Additional Information
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-
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- ### Citation Information
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-
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- ```
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- @misc{bansal2015deep,
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- title={Towards Deep Semantic Analysis Of Hashtags},
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- author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
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- year={2015},
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- eprint={1501.03210},
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- archivePrefix={arXiv},
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- primaryClass={cs.IR}
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- }
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- ```
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-
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- ### Contributions
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-
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  This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.
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+ ---
2
+ annotations_creators:
3
+ - expert-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - en
8
+ license:
9
+ - unknown
10
+ multilinguality:
11
+ - monolingual
12
+ pretty_name: STAN Small
13
+ size_categories:
14
+ - unknown
15
+ source_datasets:
16
+ - original
17
+ task_categories:
18
+ - structure-prediction
19
+ - conditional-text-generation
20
+ task_ids:
21
+ - structure-prediction-other-word-segmentation
22
+ ---
23
+
24
+ # Dataset Card for STAN Small
25
+
26
+ ## Table of Contents
27
+ - [Table of Contents](#table-of-contents)
28
+ - [Dataset Description](#dataset-description)
29
+ - [Dataset Summary](#dataset-summary)
30
+ - [Languages](#languages)
31
+ - [Dataset Structure](#dataset-structure)
32
+ - [Data Instances](#data-instances)
33
+ - [Data Fields](#data-fields)
34
+ - [Dataset Creation](#dataset-creation)
35
+ - [Additional Information](#additional-information)
36
+ - [Citation Information](#citation-information)
37
+ - [Contributions](#contributions)
38
+
39
+ ## Dataset Description
40
+
41
+ - **Repository:** [mounicam/hashtag_master](https://github.com/mounicam/hashtag_master)
42
+ - **Paper:** [Multi-task Pairwise Neural Ranking for Hashtag Segmentation](https://aclanthology.org/P19-1242/)
43
+
44
+ ### Dataset Summary
45
+
46
+ Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
47
+
48
+ ### Languages
49
+
50
+ English
51
+
52
+ ## Dataset Structure
53
+
54
+ ### Data Instances
55
+
56
+ ```
57
+ {
58
+ "index": 300,
59
+ "hashtag": "microsoftfail",
60
+ "segmentation": "microsoft fail",
61
+ "alternatives": {
62
+ "segmentation": [
63
+ "Microsoft fail"
64
+ ]
65
+ }
66
+ }
67
+ ```
68
+
69
+ ### Data Fields
70
+
71
+ - `index`: a numerical index.
72
+ - `hashtag`: the original hashtag.
73
+ - `segmentation`: the gold segmentation for the hashtag.
74
+ - `alternatives`: other segmentations that are also accepted as a gold segmentation.
75
+
76
+ Although `segmentation` has exactly the same characters as `hashtag` except for the spaces, the segmentations inside `alternatives` may have characters corrected to uppercase.
77
+
78
+ ## Dataset Creation
79
+
80
+ - All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`.
81
+
82
+ - The only difference between `hashtag` and `segmentation` or between `identifier` and `segmentation` are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.
83
+
84
+ - There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ).
85
+
86
+ - If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field.
87
+
88
+ ## Additional Information
89
+
90
+ ### Citation Information
91
+
92
+ ```
93
+ @misc{bansal2015deep,
94
+ title={Towards Deep Semantic Analysis Of Hashtags},
95
+ author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
96
+ year={2015},
97
+ eprint={1501.03210},
98
+ archivePrefix={arXiv},
99
+ primaryClass={cs.IR}
100
+ }
101
+ ```
102
+
103
+ ### Contributions
104
+
105
  This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.