Datasets:
Tasks:
Sentence Similarity
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
100K<n<1M
License:
Create README.md
Browse files
README.md
ADDED
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| 1 |
+
---
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| 2 |
+
annotations_creators:
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| 3 |
+
- no-annotation
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| 4 |
+
language_creators:
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| 5 |
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- found
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| 6 |
+
language:
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| 7 |
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- en
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| 8 |
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license:
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| 9 |
+
- apache-2.0
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| 10 |
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multilinguality:
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| 11 |
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- monolingual
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| 12 |
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size_categories:
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| 13 |
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- 100K<n<1M
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| 14 |
+
source_datasets:
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| 15 |
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- original
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| 16 |
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task_categories:
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| 17 |
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- sentence-similarity
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| 18 |
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task_ids:
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| 19 |
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- semantic-similarity-classification
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| 20 |
+
paperswithcode_id: STS-eval-Kubla-PL
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pretty_name: STS Evaluation Kubla/PL
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| 22 |
+
dataset_info:
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| 23 |
+
- config_name: 1.0.0-1by1
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| 24 |
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features:
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| 25 |
+
- name: id
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| 26 |
+
dtype: int32
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| 27 |
+
- name: textA
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| 28 |
+
dtype: string
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| 29 |
+
- name: textB
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| 30 |
+
dtype: string
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| 31 |
+
- name: value
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| 32 |
+
dtype: int32
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| 33 |
+
splits:
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| 34 |
+
- name: test
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| 35 |
+
num_bytes:
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| 36 |
+
num_examples:
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| 37 |
+
download_size:
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| 38 |
+
dataset_size:
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| 39 |
+
- config_name: 1.0.0-2by2
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| 40 |
+
features:
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| 41 |
+
- name: id
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| 42 |
+
dtype: int32
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| 43 |
+
- name: textA
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| 44 |
+
dtype: string
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| 45 |
+
- name: textB
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| 46 |
+
dtype: string
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| 47 |
+
- name: value
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| 48 |
+
dtype: int32
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| 49 |
+
splits:
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| 50 |
+
- name: test
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| 51 |
+
num_bytes:
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| 52 |
+
num_examples:
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| 53 |
+
download_size:
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| 54 |
+
dataset_size:
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| 55 |
+
- config_name: 1.0.0-3by3
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| 56 |
+
features:
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| 57 |
+
- name: id
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| 58 |
+
dtype: int32
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| 59 |
+
- name: textA
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| 60 |
+
dtype: string
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| 61 |
+
- name: textB
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| 62 |
+
dtype: string
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| 63 |
+
- name: value
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| 64 |
+
dtype: int32
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| 65 |
+
splits:
|
| 66 |
+
- name: test
|
| 67 |
+
num_bytes:
|
| 68 |
+
num_examples:
|
| 69 |
+
download_size:
|
| 70 |
+
dataset_size:
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| 71 |
+
- config_name: 2.0.0-1by1
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| 72 |
+
features:
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| 73 |
+
- name: id
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| 74 |
+
dtype: int32
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| 75 |
+
- name: textA
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| 76 |
+
dtype: string
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| 77 |
+
- name: textB
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| 78 |
+
dtype: string
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| 79 |
+
- name: value
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| 80 |
+
dtype: int32
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| 81 |
+
splits:
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| 82 |
+
- name: test
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| 83 |
+
num_bytes:
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| 84 |
+
num_examples:
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| 85 |
+
download_size:
|
| 86 |
+
dataset_size:
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| 87 |
+
- config_name: 2.0.0-2by2
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| 88 |
+
features:
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| 89 |
+
- name: id
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| 90 |
+
dtype: int32
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| 91 |
+
- name: textA
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| 92 |
+
dtype: string
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| 93 |
+
- name: textB
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| 94 |
+
dtype: string
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| 95 |
+
- name: value
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| 96 |
+
dtype: int32
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| 97 |
+
splits:
|
| 98 |
+
- name: test
|
| 99 |
+
num_bytes:
|
| 100 |
+
num_examples:
|
| 101 |
+
download_size:
|
| 102 |
+
dataset_size:
|
| 103 |
+
- config_name: 2.0.0-3by3
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| 104 |
+
features:
|
| 105 |
+
- name: id
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| 106 |
+
dtype: int32
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| 107 |
+
- name: textA
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| 108 |
+
dtype: string
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| 109 |
+
- name: textB
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| 110 |
+
dtype: string
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| 111 |
+
- name: value
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| 112 |
+
dtype: int32
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| 113 |
+
splits:
|
| 114 |
+
- name: test
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| 115 |
+
num_bytes:
|
| 116 |
+
num_examples:
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| 117 |
+
download_size:
|
| 118 |
+
dataset_size:
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| 119 |
+
configs:
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| 120 |
+
- config_name: 1.0.0-1by1
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| 121 |
+
data_files:
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| 122 |
+
- split: test
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| 123 |
+
path: 1.0.0/test-*
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| 124 |
+
- config_name: 1.0.0-2by2
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| 125 |
+
data_files:
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| 126 |
+
- split: test
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| 127 |
+
path: 1.0.0/test-*
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| 128 |
+
- config_name: 1.0.0-3by3
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| 129 |
+
data_files:
|
| 130 |
+
- split: test
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| 131 |
+
path: 1.0.0/test-*
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| 132 |
+
- config_name: 2.0.0-1by1
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| 133 |
+
data_files:
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| 134 |
+
- split: test
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| 135 |
+
path: 2.0.0/STSdataset_KublaPL_1.csv
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| 136 |
+
- config_name: 2.0.0-2by2
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| 137 |
+
data_files:
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| 138 |
+
- split: test
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| 139 |
+
path: 2.0.0/STSdataset_KublaPL_2.csv
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| 140 |
+
- config_name: 2.0.0-3by3
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| 141 |
+
data_files:
|
| 142 |
+
- split: test
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| 143 |
+
path: 2.0.0/STSdataset_KublaPL_3.csv
|
| 144 |
+
|
| 145 |
+
---
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| 146 |
+
# STS Evaluation Datasets for English literary texts
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| 147 |
+
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| 148 |
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## Rating criteria
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| 149 |
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- 5: Critics mentioned and strongly influenced - citation
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| 150 |
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- 4: Critics mentioned and moderately influenced – source, borrowing, repeating the same theme, self-citation, precedent example
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| 151 |
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- 3: Critics mentioned and somewhat influenced – association, source
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| 152 |
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- 2: Influence mentioned but not admitted – source text A and influenced text B but different lines critic mentioned – e.g. Kubla Khan’s text but in different lines and Paradise Lost
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| 153 |
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- 1: Influence may not exist – Influence not mentioned, but the same or similar taste author’s texts – e.g. Coleridge and Wordsworth
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| 154 |
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- 0: No influence – not mentioned.
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| 155 |
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| 156 |
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- 5:該当箇所の指摘(注)があり、つよい影響が認められる
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| 157 |
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- 4:該当箇所の指摘(注)があり、中程度に影響があると認められる
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| 158 |
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- 3:該当箇所の指摘(注)があり、少し影響があると認められる
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| 159 |
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- 2:影響があるが認められない - 作品自体は影響あると指摘のある詩作品であるが、その影響は別の箇所である
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| 160 |
+
- 1:影響はないかもしれない - 影響があるとの指摘はないが、同じまたは同種の著者の作品である。コールリッジとワーズワスなど
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| 161 |
+
- 0:影響はない - 指摘もない
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| 162 |
+
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| 163 |
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# Human Criteria: Poetry of Influence
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| 164 |
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https://github.com/hast-hash/English-Poetry-Dataset/blob/main/KublaKhan_ParadiseLost_Tables.docx
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| 165 |
+
|