MicPie commited on
Commit
86f0c7c
1 Parent(s): 5f8ab13

update name change

Browse files
README.md CHANGED
@@ -3,13 +3,13 @@ annotations_creators:
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  - no-annotation
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  language_creators:
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  - found
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- languages:
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  - en
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  license:
9
  - apache-2.0
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  multilinguality:
11
  - monolingual
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- pretty_name: AdapTable-mmo-champion.com
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  size_categories:
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  - 100K<n<1M
15
  source_datasets: []
@@ -39,7 +39,7 @@ task_ids:
39
  ---
40
 
41
 
42
- # Dataset Card for "AdapTable-mmo-champion.com" - Dataset of Few-shot Tasks from Tables
43
 
44
  ## Table of Contents
45
  - [Dataset Description](#dataset-description)
@@ -66,83 +66,83 @@ task_ids:
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67
  ## Dataset Description
68
 
69
- - **Homepage:** https://ethanperez.net/adaptable
70
  - **Repository:** https://github.com/JunShern/few-shot-adaptation
71
- - **Paper:** Exploring Few-Shot Adaptation of Language Models with Tables
72
  - **Point of Contact:** junshern@nyu.edu, perez@nyu.edu
73
 
74
  ### Dataset Summary
75
 
76
- The AdapTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance.
77
 
78
  There are several dataset versions available:
79
 
80
- * [AdapTable-full](https://huggingface.co/datasets/MicPie/adaptable_full): Starting from the initial WTC corpus of 50M tables, we apply our tables-to-tasks procedure to produce our resulting dataset, [AdapTable-full](https://huggingface.co/datasets/MicPie/adaptable_full), which comprises 413,350 tasks from 23,744 unique websites.
81
-
82
- * [AdapTable-unique](https://huggingface.co/datasets/MicPie/adaptable_unique): This is the same as [AdapTable-full](https://huggingface.co/datasets/MicPie/adaptable_full) but filtered to have a maximum of one task per website. [AdapTable-unique](https://huggingface.co/datasets/MicPie/adaptable_unique) contains exactly 23,744 tasks from 23,744 websites.
83
-
84
- * [AdapTable-5k](https://huggingface.co/datasets/MicPie/adaptable_5k): This dataset contains 5k random tables from the full dataset.
85
-
86
- * AdapTable data subsets based on a manual human quality rating (please see our publication for details of the ratings):
87
- * [AdapTable-rated-low](https://huggingface.co/datasets/MicPie/adaptable_rated-low)
88
- * [AdapTable-rated-medium](https://huggingface.co/datasets/MicPie/adaptable_rated-medium)
89
- * [AdapTable-rated-high](https://huggingface.co/datasets/MicPie/adaptable_rated-high)
90
-
91
- * AdapTable data subsets based on the website of origin:
92
- * [AdapTable-baseball.fantasysports.yahoo.com](https://huggingface.co/datasets/MicPie/adaptable_baseball.fantasysports.yahoo.com)
93
- * [AdapTable-bulbapedia.bulbagarden.net](https://huggingface.co/datasets/MicPie/adaptable_bulbapedia.bulbagarden.net)
94
- * [AdapTable-cappex.com](https://huggingface.co/datasets/MicPie/adaptable_cappex.com)
95
- * [AdapTable-cram.com](https://huggingface.co/datasets/MicPie/adaptable_cram.com)
96
- * [AdapTable-dividend.com](https://huggingface.co/datasets/MicPie/adaptable_dividend.com)
97
- * [AdapTable-dummies.com](https://huggingface.co/datasets/MicPie/adaptable_dummies.com)
98
- * [AdapTable-en.wikipedia.org](https://huggingface.co/datasets/MicPie/adaptable_en.wikipedia.org)
99
- * [AdapTable-ensembl.org](https://huggingface.co/datasets/MicPie/adaptable_ensembl.org)
100
- * [AdapTable-gamefaqs.com](https://huggingface.co/datasets/MicPie/adaptable_gamefaqs.com)
101
- * [AdapTable-mgoblog.com](https://huggingface.co/datasets/MicPie/adaptable_mgoblog.com)
102
- * [AdapTable-mmo-champion.com](https://huggingface.co/datasets/MicPie/adaptable_mmo-champion.com)
103
- * [AdapTable-msdn.microsoft.com](https://huggingface.co/datasets/MicPie/adaptable_msdn.microsoft.com)
104
- * [AdapTable-phonearena.com](https://huggingface.co/datasets/MicPie/adaptable_phonearena.com)
105
- * [AdapTable-sittercity.com](https://huggingface.co/datasets/MicPie/adaptable_sittercity.com)
106
- * [AdapTable-sporcle.com](https://huggingface.co/datasets/MicPie/adaptable_sporcle.com)
107
- * [AdapTable-studystack.com](https://huggingface.co/datasets/MicPie/adaptable_studystack.com)
108
- * [AdapTable-support.google.com](https://huggingface.co/datasets/MicPie/adaptable_support.google.com)
109
- * [AdapTable-w3.org](https://huggingface.co/datasets/MicPie/adaptable_w3.org)
110
- * [AdapTable-wiki.openmoko.org](https://huggingface.co/datasets/MicPie/adaptable_wiki.openmoko.org)
111
- * [AdapTable-wkdu.org](https://huggingface.co/datasets/MicPie/adaptable_wkdu.org)
112
-
113
-
114
- * AdapTable data subsets based on clustering (for the clustering details please see our publication):
115
- * [AdapTable-cluster00](https://huggingface.co/datasets/MicPie/adaptable_cluster00)
116
- * [AdapTable-cluster01](https://huggingface.co/datasets/MicPie/adaptable_cluster01)
117
- * [AdapTable-cluster02](https://huggingface.co/datasets/MicPie/adaptable_cluster02)
118
- * [AdapTable-cluster03](https://huggingface.co/datasets/MicPie/adaptable_cluster03)
119
- * [AdapTable-cluster04](https://huggingface.co/datasets/MicPie/adaptable_cluster04)
120
- * [AdapTable-cluster05](https://huggingface.co/datasets/MicPie/adaptable_cluster05)
121
- * [AdapTable-cluster06](https://huggingface.co/datasets/MicPie/adaptable_cluster06)
122
- * [AdapTable-cluster07](https://huggingface.co/datasets/MicPie/adaptable_cluster07)
123
- * [AdapTable-cluster08](https://huggingface.co/datasets/MicPie/adaptable_cluster08)
124
- * [AdapTable-cluster09](https://huggingface.co/datasets/MicPie/adaptable_cluster09)
125
- * [AdapTable-cluster10](https://huggingface.co/datasets/MicPie/adaptable_cluster10)
126
- * [AdapTable-cluster11](https://huggingface.co/datasets/MicPie/adaptable_cluster11)
127
- * [AdapTable-cluster12](https://huggingface.co/datasets/MicPie/adaptable_cluster12)
128
- * [AdapTable-cluster13](https://huggingface.co/datasets/MicPie/adaptable_cluster13)
129
- * [AdapTable-cluster14](https://huggingface.co/datasets/MicPie/adaptable_cluster14)
130
- * [AdapTable-cluster15](https://huggingface.co/datasets/MicPie/adaptable_cluster15)
131
- * [AdapTable-cluster16](https://huggingface.co/datasets/MicPie/adaptable_cluster16)
132
- * [AdapTable-cluster17](https://huggingface.co/datasets/MicPie/adaptable_cluster17)
133
- * [AdapTable-cluster18](https://huggingface.co/datasets/MicPie/adaptable_cluster18)
134
- * [AdapTable-cluster19](https://huggingface.co/datasets/MicPie/adaptable_cluster19)
135
- * [AdapTable-cluster20](https://huggingface.co/datasets/MicPie/adaptable_cluster20)
136
- * [AdapTable-cluster21](https://huggingface.co/datasets/MicPie/adaptable_cluster21)
137
- * [AdapTable-cluster22](https://huggingface.co/datasets/MicPie/adaptable_cluster22)
138
- * [AdapTable-cluster23](https://huggingface.co/datasets/MicPie/adaptable_cluster23)
139
- * [AdapTable-cluster24](https://huggingface.co/datasets/MicPie/adaptable_cluster24)
140
- * [AdapTable-cluster25](https://huggingface.co/datasets/MicPie/adaptable_cluster25)
141
- * [AdapTable-cluster26](https://huggingface.co/datasets/MicPie/adaptable_cluster26)
142
- * [AdapTable-cluster27](https://huggingface.co/datasets/MicPie/adaptable_cluster27)
143
- * [AdapTable-cluster28](https://huggingface.co/datasets/MicPie/adaptable_cluster28)
144
- * [AdapTable-cluster29](https://huggingface.co/datasets/MicPie/adaptable_cluster29)
145
- * [AdapTable-cluster-noise](https://huggingface.co/datasets/MicPie/adaptable_cluster-noise)
146
 
147
  ### Supported Tasks and Leaderboards
148
 
@@ -182,7 +182,7 @@ There are also additional meta-data fields such as 'pageTitle', 'title', 'output
182
 
183
  ### Data Splits
184
 
185
- The AdapTable datasets do not come with additional data splits.
186
 
187
  ## Dataset Creation
188
 
@@ -204,7 +204,8 @@ The dataset is extracted from [WDC Web Table Corpora](http://webdatacommons.org/
204
 
205
  #### Annotation process
206
 
207
- Manual annotation was only carried out for the [AdapTable-rated-low](https://huggingface.co/datasets/MicPie/adaptable_rated-low), [AdapTable-rated-medium](https://huggingface.co/datasets/MicPie/adaptable_rated-medium), and [AdapTable-rated-high](https://huggingface.co/datasets/MicPie/adaptable_rated-high) data subsets to rate task quality. Detailed instructions of the annotation instructions can be found in our publication.
 
208
 
209
  #### Who are the annotators?
210
 
@@ -239,10 +240,10 @@ Apache 2.0
239
  ### Citation Information
240
 
241
  ```
242
- @misc{https://ethanperez.net/adaptable,
243
  author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
244
- title = {Exploring Few-Shot Adaptation of Language Models with Tables},
245
  publisher = {arXiv},
246
  year = {2022},
247
  }
248
- ```
 
3
  - no-annotation
4
  language_creators:
5
  - found
6
+ language:
7
  - en
8
  license:
9
  - apache-2.0
10
  multilinguality:
11
  - monolingual
12
+ pretty_name: UnpredicTable-mmo-champion-com
13
  size_categories:
14
  - 100K<n<1M
15
  source_datasets: []
 
39
  ---
40
 
41
 
42
+ # Dataset Card for "UnpredicTable-mmo-champion-com" - Dataset of Few-shot Tasks from Tables
43
 
44
  ## Table of Contents
45
  - [Dataset Description](#dataset-description)
 
66
 
67
  ## Dataset Description
68
 
69
+ - **Homepage:** https://ethanperez.net/unpredictable
70
  - **Repository:** https://github.com/JunShern/few-shot-adaptation
71
+ - **Paper:** Few-shot Adaptation Works with UnpredicTable Data
72
  - **Point of Contact:** junshern@nyu.edu, perez@nyu.edu
73
 
74
  ### Dataset Summary
75
 
76
+ The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance.
77
 
78
  There are several dataset versions available:
79
 
80
+ * [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full): Starting from the initial WTC corpus of 50M tables, we apply our tables-to-tasks procedure to produce our resulting dataset, [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full), which comprises 413,350 tasks from 23,744 unique websites.
81
+
82
+ * [UnpredicTable-unique](https://huggingface.co/datasets/MicPie/unpredictable_unique): This is the same as [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full) but filtered to have a maximum of one task per website. [UnpredicTable-unique](https://huggingface.co/datasets/MicPie/unpredictable_unique) contains exactly 23,744 tasks from 23,744 websites.
83
+
84
+ * [UnpredicTable-5k](https://huggingface.co/datasets/MicPie/unpredictable_5k): This dataset contains 5k random tables from the full dataset.
85
+
86
+ * UnpredicTable data subsets based on a manual human quality rating (please see our publication for details of the ratings):
87
+ * [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low)
88
+ * [UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium)
89
+ * [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high)
90
+
91
+ * UnpredicTable data subsets based on the website of origin:
92
+ * [UnpredicTable-baseball-fantasysports-yahoo-com](https://huggingface.co/datasets/MicPie/unpredictable_baseball-fantasysports-yahoo-com)
93
+ * [UnpredicTable-bulbapedia-bulbagarden-net](https://huggingface.co/datasets/MicPie/unpredictable_bulbapedia-bulbagarden-net)
94
+ * [UnpredicTable-cappex-com](https://huggingface.co/datasets/MicPie/unpredictable_cappex-com)
95
+ * [UnpredicTable-cram-com](https://huggingface.co/datasets/MicPie/unpredictable_cram-com)
96
+ * [UnpredicTable-dividend-com](https://huggingface.co/datasets/MicPie/unpredictable_dividend-com)
97
+ * [UnpredicTable-dummies-com](https://huggingface.co/datasets/MicPie/unpredictable_dummies-com)
98
+ * [UnpredicTable-en-wikipedia-org](https://huggingface.co/datasets/MicPie/unpredictable_en-wikipedia-org)
99
+ * [UnpredicTable-ensembl-org](https://huggingface.co/datasets/MicPie/unpredictable_ensembl-org)
100
+ * [UnpredicTable-gamefaqs-com](https://huggingface.co/datasets/MicPie/unpredictable_gamefaqs-com)
101
+ * [UnpredicTable-mgoblog-com](https://huggingface.co/datasets/MicPie/unpredictable_mgoblog-com)
102
+ * [UnpredicTable-mmo-champion-com](https://huggingface.co/datasets/MicPie/unpredictable_mmo-champion-com)
103
+ * [UnpredicTable-msdn-microsoft-com](https://huggingface.co/datasets/MicPie/unpredictable_msdn-microsoft-com)
104
+ * [UnpredicTable-phonearena-com](https://huggingface.co/datasets/MicPie/unpredictable_phonearena-com)
105
+ * [UnpredicTable-sittercity-com](https://huggingface.co/datasets/MicPie/unpredictable_sittercity-com)
106
+ * [UnpredicTable-sporcle-com](https://huggingface.co/datasets/MicPie/unpredictable_sporcle-com)
107
+ * [UnpredicTable-studystack-com](https://huggingface.co/datasets/MicPie/unpredictable_studystack-com)
108
+ * [UnpredicTable-support-google-com](https://huggingface.co/datasets/MicPie/unpredictable_support-google-com)
109
+ * [UnpredicTable-w3-org](https://huggingface.co/datasets/MicPie/unpredictable_w3-org)
110
+ * [UnpredicTable-wiki-openmoko-org](https://huggingface.co/datasets/MicPie/unpredictable_wiki-openmoko-org)
111
+ * [UnpredicTable-wkdu-org](https://huggingface.co/datasets/MicPie/unpredictable_wkdu-org)
112
+
113
+
114
+ * UnpredicTable data subsets based on clustering (for the clustering details please see our publication):
115
+ * [UnpredicTable-cluster00](https://huggingface.co/datasets/MicPie/unpredictable_cluster00)
116
+ * [UnpredicTable-cluster01](https://huggingface.co/datasets/MicPie/unpredictable_cluster01)
117
+ * [UnpredicTable-cluster02](https://huggingface.co/datasets/MicPie/unpredictable_cluster02)
118
+ * [UnpredicTable-cluster03](https://huggingface.co/datasets/MicPie/unpredictable_cluster03)
119
+ * [UnpredicTable-cluster04](https://huggingface.co/datasets/MicPie/unpredictable_cluster04)
120
+ * [UnpredicTable-cluster05](https://huggingface.co/datasets/MicPie/unpredictable_cluster05)
121
+ * [UnpredicTable-cluster06](https://huggingface.co/datasets/MicPie/unpredictable_cluster06)
122
+ * [UnpredicTable-cluster07](https://huggingface.co/datasets/MicPie/unpredictable_cluster07)
123
+ * [UnpredicTable-cluster08](https://huggingface.co/datasets/MicPie/unpredictable_cluster08)
124
+ * [UnpredicTable-cluster09](https://huggingface.co/datasets/MicPie/unpredictable_cluster09)
125
+ * [UnpredicTable-cluster10](https://huggingface.co/datasets/MicPie/unpredictable_cluster10)
126
+ * [UnpredicTable-cluster11](https://huggingface.co/datasets/MicPie/unpredictable_cluster11)
127
+ * [UnpredicTable-cluster12](https://huggingface.co/datasets/MicPie/unpredictable_cluster12)
128
+ * [UnpredicTable-cluster13](https://huggingface.co/datasets/MicPie/unpredictable_cluster13)
129
+ * [UnpredicTable-cluster14](https://huggingface.co/datasets/MicPie/unpredictable_cluster14)
130
+ * [UnpredicTable-cluster15](https://huggingface.co/datasets/MicPie/unpredictable_cluster15)
131
+ * [UnpredicTable-cluster16](https://huggingface.co/datasets/MicPie/unpredictable_cluster16)
132
+ * [UnpredicTable-cluster17](https://huggingface.co/datasets/MicPie/unpredictable_cluster17)
133
+ * [UnpredicTable-cluster18](https://huggingface.co/datasets/MicPie/unpredictable_cluster18)
134
+ * [UnpredicTable-cluster19](https://huggingface.co/datasets/MicPie/unpredictable_cluster19)
135
+ * [UnpredicTable-cluster20](https://huggingface.co/datasets/MicPie/unpredictable_cluster20)
136
+ * [UnpredicTable-cluster21](https://huggingface.co/datasets/MicPie/unpredictable_cluster21)
137
+ * [UnpredicTable-cluster22](https://huggingface.co/datasets/MicPie/unpredictable_cluster22)
138
+ * [UnpredicTable-cluster23](https://huggingface.co/datasets/MicPie/unpredictable_cluster23)
139
+ * [UnpredicTable-cluster24](https://huggingface.co/datasets/MicPie/unpredictable_cluster24)
140
+ * [UnpredicTable-cluster25](https://huggingface.co/datasets/MicPie/unpredictable_cluster25)
141
+ * [UnpredicTable-cluster26](https://huggingface.co/datasets/MicPie/unpredictable_cluster26)
142
+ * [UnpredicTable-cluster27](https://huggingface.co/datasets/MicPie/unpredictable_cluster27)
143
+ * [UnpredicTable-cluster28](https://huggingface.co/datasets/MicPie/unpredictable_cluster28)
144
+ * [UnpredicTable-cluster29](https://huggingface.co/datasets/MicPie/unpredictable_cluster29)
145
+ * [UnpredicTable-cluster-noise](https://huggingface.co/datasets/MicPie/unpredictable_cluster-noise)
146
 
147
  ### Supported Tasks and Leaderboards
148
 
 
182
 
183
  ### Data Splits
184
 
185
+ The UnpredicTable datasets do not come with additional data splits.
186
 
187
  ## Dataset Creation
188
 
 
204
 
205
  #### Annotation process
206
 
207
+ Manual annotation was only carried out for the [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low),
208
+ [UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium), and [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high) data subsets to rate task quality. Detailed instructions of the annotation instructions can be found in our publication.
209
 
210
  #### Who are the annotators?
211
 
 
240
  ### Citation Information
241
 
242
  ```
243
+ @misc{https://ethanperez.net/unpredictable,
244
  author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
245
+ title = {Few-shot Adaptation Works with UnpredicTable Data},
246
  publisher = {arXiv},
247
  year = {2022},
248
  }
249
+ ```
data/{adaptable_mmo-champion.com.jsonl → predictable_mmo-champion-com.jsonl} RENAMED
File without changes
adaptable_mmo-champion.com.py → unpredictable_mmo-champion-com.py RENAMED
@@ -11,7 +11,7 @@
11
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
  # See the License for the specific language governing permissions and
13
  # limitations under the License.
14
- """This loads the AdapTable-mmo-champion.com dataset."""
15
 
16
  import json
17
  import os
@@ -21,30 +21,25 @@ import datasets
21
 
22
 
23
  _CITATION = """\
24
- @misc{https://ethanperez.net/adaptable,
25
- author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan},
26
- title = {Exploring Few-Shot Adaptation of Language Models with Tables},
27
- publisher = {arXiv},
28
- year = {2022},
29
- }
30
  """
31
 
32
  _DESCRIPTION = """\
33
- The AdapTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card.
34
  """
35
 
36
- _HOMEPAGE = "https://ethanperez.net/adaptable"
37
 
38
  _LICENSE = "Apache 2.0"
39
 
40
- _URL = "https://huggingface.co/datasets/MicPie/adaptable_mmo-champion.com/resolve/main/data/adaptable_mmo-champion.com.jsonl"
41
 
42
  logger = datasets.logging.get_logger(__name__)
43
 
44
 
45
- class AdapTableSite(datasets.GeneratorBasedBuilder):
46
  """
47
- The AdapTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card..
48
  """
49
 
50
  VERSION = datasets.Version("1.0.0")
@@ -94,4 +89,4 @@ class AdapTableSite(datasets.GeneratorBasedBuilder):
94
  "outputColName": data["outputColName"],
95
  "url": data["url"],
96
  "wdcFile": data["wdcFile"],
97
- }
 
11
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
  # See the License for the specific language governing permissions and
13
  # limitations under the License.
14
+ """This loads the UnpredicTable-mmo-champion-com dataset."""
15
 
16
  import json
17
  import os
 
21
 
22
 
23
  _CITATION = """\
24
+ @misc{https://ethanperez.net/unpredictable, author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan}, title = {Exploring Few-Shot Adaptation of Language Models with Tables}, publisher = {arXiv}, year = {2022}}
 
 
 
 
 
25
  """
26
 
27
  _DESCRIPTION = """\
28
+ The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card.
29
  """
30
 
31
+ _HOMEPAGE = "https://ethanperez.net/unpredictable"
32
 
33
  _LICENSE = "Apache 2.0"
34
 
35
+ _URL = "https://huggingface.co/datasets/MicPie/unpredictable_mmo-champion-com/resolve/main/data/unpredictable_mmo-champion-com.jsonl"
36
 
37
  logger = datasets.logging.get_logger(__name__)
38
 
39
 
40
+ class UnpredicTable(datasets.GeneratorBasedBuilder):
41
  """
42
+ The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. For more details please see the accompanying dataset card..
43
  """
44
 
45
  VERSION = datasets.Version("1.0.0")
 
89
  "outputColName": data["outputColName"],
90
  "url": data["url"],
91
  "wdcFile": data["wdcFile"],
92
+ }