update name change

README.md

@@ -3,13 +3,13 @@ annotations_creators:
 - no-annotation
 language_creators:
 - found
-languages:
+language:
 - en
 license:
 - apache-2.0
 multilinguality:
 - monolingual
-pretty_name: AdapTable-cluster28
+pretty_name: UnpredicTable-cluster28
 size_categories:
 - 100K<n<1M
 source_datasets: []
@@ -39,7 +39,7 @@ task_ids:
 ---
 
 
-# Dataset Card for "AdapTable-cluster28" - Dataset of Few-shot Tasks from Tables
+# Dataset Card for "UnpredicTable-cluster28" - Dataset of Few-shot Tasks from Tables
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -66,83 +66,83 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:** https://ethanperez.net/adaptable
+- **Homepage:** https://ethanperez.net/unpredictable
 - **Repository:** https://github.com/JunShern/few-shot-adaptation
-- **Paper:** Exploring Few-Shot Adaptation of Language Models with Tables
+- **Paper:** Few-shot Adaptation Works with UnpredicTable Data
 - **Point of Contact:** [email protected], [email protected]
 
 ### Dataset Summary
 
-The AdapTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance.
+The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance.
 
 There are several dataset versions available:
 
-* [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.
-
-* [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.
-
-* [AdapTable-5k](https://huggingface.co/datasets/MicPie/adaptable_5k): This dataset contains 5k random tables from the full dataset.
-
-* AdapTable data subsets based on a manual human quality rating (please see our publication for details of the ratings):
-    * [AdapTable-rated-low](https://huggingface.co/datasets/MicPie/adaptable_rated-low)
-    * [AdapTable-rated-medium](https://huggingface.co/datasets/MicPie/adaptable_rated-medium)
-    * [AdapTable-rated-high](https://huggingface.co/datasets/MicPie/adaptable_rated-high)
-
-* AdapTable data subsets based on the website of origin:
-    * [AdapTable-baseball.fantasysports.yahoo.com](https://huggingface.co/datasets/MicPie/adaptable_baseball.fantasysports.yahoo.com) 
-    * [AdapTable-bulbapedia.bulbagarden.net](https://huggingface.co/datasets/MicPie/adaptable_bulbapedia.bulbagarden.net)
-    * [AdapTable-cappex.com](https://huggingface.co/datasets/MicPie/adaptable_cappex.com) 
-    * [AdapTable-cram.com](https://huggingface.co/datasets/MicPie/adaptable_cram.com)
-    * [AdapTable-dividend.com](https://huggingface.co/datasets/MicPie/adaptable_dividend.com) 
-    * [AdapTable-dummies.com](https://huggingface.co/datasets/MicPie/adaptable_dummies.com)
-    * [AdapTable-en.wikipedia.org](https://huggingface.co/datasets/MicPie/adaptable_en.wikipedia.org)
-    * [AdapTable-ensembl.org](https://huggingface.co/datasets/MicPie/adaptable_ensembl.org)
-    * [AdapTable-gamefaqs.com](https://huggingface.co/datasets/MicPie/adaptable_gamefaqs.com)
-    *  [AdapTable-mgoblog.com](https://huggingface.co/datasets/MicPie/adaptable_mgoblog.com)
-    * [AdapTable-mmo-champion.com](https://huggingface.co/datasets/MicPie/adaptable_mmo-champion.com)
-    * [AdapTable-msdn.microsoft.com](https://huggingface.co/datasets/MicPie/adaptable_msdn.microsoft.com)
-    *  [AdapTable-phonearena.com](https://huggingface.co/datasets/MicPie/adaptable_phonearena.com)
-    * [AdapTable-sittercity.com](https://huggingface.co/datasets/MicPie/adaptable_sittercity.com)
-    *  [AdapTable-sporcle.com](https://huggingface.co/datasets/MicPie/adaptable_sporcle.com)
-    * [AdapTable-studystack.com](https://huggingface.co/datasets/MicPie/adaptable_studystack.com)
-    * [AdapTable-support.google.com](https://huggingface.co/datasets/MicPie/adaptable_support.google.com)
-    * [AdapTable-w3.org](https://huggingface.co/datasets/MicPie/adaptable_w3.org)
-    *  [AdapTable-wiki.openmoko.org](https://huggingface.co/datasets/MicPie/adaptable_wiki.openmoko.org)
-    * [AdapTable-wkdu.org](https://huggingface.co/datasets/MicPie/adaptable_wkdu.org)
-
-
-* AdapTable data subsets based on clustering (for the clustering details please see our publication):
-    * [AdapTable-cluster00](https://huggingface.co/datasets/MicPie/adaptable_cluster00)
-    * [AdapTable-cluster01](https://huggingface.co/datasets/MicPie/adaptable_cluster01)
-    * [AdapTable-cluster02](https://huggingface.co/datasets/MicPie/adaptable_cluster02)
-    * [AdapTable-cluster03](https://huggingface.co/datasets/MicPie/adaptable_cluster03)
-    * [AdapTable-cluster04](https://huggingface.co/datasets/MicPie/adaptable_cluster04)
-    * [AdapTable-cluster05](https://huggingface.co/datasets/MicPie/adaptable_cluster05)
-    * [AdapTable-cluster06](https://huggingface.co/datasets/MicPie/adaptable_cluster06)
-    * [AdapTable-cluster07](https://huggingface.co/datasets/MicPie/adaptable_cluster07)
-    * [AdapTable-cluster08](https://huggingface.co/datasets/MicPie/adaptable_cluster08)
-    * [AdapTable-cluster09](https://huggingface.co/datasets/MicPie/adaptable_cluster09)
-    * [AdapTable-cluster10](https://huggingface.co/datasets/MicPie/adaptable_cluster10)
-    * [AdapTable-cluster11](https://huggingface.co/datasets/MicPie/adaptable_cluster11)
-    * [AdapTable-cluster12](https://huggingface.co/datasets/MicPie/adaptable_cluster12)
-    * [AdapTable-cluster13](https://huggingface.co/datasets/MicPie/adaptable_cluster13)
-    * [AdapTable-cluster14](https://huggingface.co/datasets/MicPie/adaptable_cluster14)
-    * [AdapTable-cluster15](https://huggingface.co/datasets/MicPie/adaptable_cluster15)
-    * [AdapTable-cluster16](https://huggingface.co/datasets/MicPie/adaptable_cluster16)
-    * [AdapTable-cluster17](https://huggingface.co/datasets/MicPie/adaptable_cluster17)
-    * [AdapTable-cluster18](https://huggingface.co/datasets/MicPie/adaptable_cluster18)
-    * [AdapTable-cluster19](https://huggingface.co/datasets/MicPie/adaptable_cluster19)
-    * [AdapTable-cluster20](https://huggingface.co/datasets/MicPie/adaptable_cluster20)
-    * [AdapTable-cluster21](https://huggingface.co/datasets/MicPie/adaptable_cluster21)
-    * [AdapTable-cluster22](https://huggingface.co/datasets/MicPie/adaptable_cluster22)
-    * [AdapTable-cluster23](https://huggingface.co/datasets/MicPie/adaptable_cluster23)
-    * [AdapTable-cluster24](https://huggingface.co/datasets/MicPie/adaptable_cluster24)
-    * [AdapTable-cluster25](https://huggingface.co/datasets/MicPie/adaptable_cluster25)
-    * [AdapTable-cluster26](https://huggingface.co/datasets/MicPie/adaptable_cluster26)
-    * [AdapTable-cluster27](https://huggingface.co/datasets/MicPie/adaptable_cluster27)
-    * [AdapTable-cluster28](https://huggingface.co/datasets/MicPie/adaptable_cluster28)
-    * [AdapTable-cluster29](https://huggingface.co/datasets/MicPie/adaptable_cluster29)
-    * [AdapTable-cluster-noise](https://huggingface.co/datasets/MicPie/adaptable_cluster-noise)
+* [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.
+
+* [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.
+
+* [UnpredicTable-5k](https://huggingface.co/datasets/MicPie/unpredictable_5k): This dataset contains 5k random tables from the full dataset.
+
+* UnpredicTable data subsets based on a manual human quality rating (please see our publication for details of the ratings):
+    * [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low)
+    * [UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium)
+    * [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high)
+
+* UnpredicTable data subsets based on the website of origin:
+    * [UnpredicTable-baseball-fantasysports-yahoo-com](https://huggingface.co/datasets/MicPie/unpredictable_baseball-fantasysports-yahoo-com) 
+    * [UnpredicTable-bulbapedia-bulbagarden-net](https://huggingface.co/datasets/MicPie/unpredictable_bulbapedia-bulbagarden-net)
+    * [UnpredicTable-cappex-com](https://huggingface.co/datasets/MicPie/unpredictable_cappex-com) 
+    * [UnpredicTable-cram-com](https://huggingface.co/datasets/MicPie/unpredictable_cram-com)
+    * [UnpredicTable-dividend-com](https://huggingface.co/datasets/MicPie/unpredictable_dividend-com) 
+    * [UnpredicTable-dummies-com](https://huggingface.co/datasets/MicPie/unpredictable_dummies-com)
+    * [UnpredicTable-en-wikipedia-org](https://huggingface.co/datasets/MicPie/unpredictable_en-wikipedia-org)
+    * [UnpredicTable-ensembl-org](https://huggingface.co/datasets/MicPie/unpredictable_ensembl-org)
+    * [UnpredicTable-gamefaqs-com](https://huggingface.co/datasets/MicPie/unpredictable_gamefaqs-com)
+    * [UnpredicTable-mgoblog-com](https://huggingface.co/datasets/MicPie/unpredictable_mgoblog-com)
+    * [UnpredicTable-mmo-champion-com](https://huggingface.co/datasets/MicPie/unpredictable_mmo-champion-com)
+    * [UnpredicTable-msdn-microsoft-com](https://huggingface.co/datasets/MicPie/unpredictable_msdn-microsoft-com)
+    * [UnpredicTable-phonearena-com](https://huggingface.co/datasets/MicPie/unpredictable_phonearena-com)
+    * [UnpredicTable-sittercity-com](https://huggingface.co/datasets/MicPie/unpredictable_sittercity-com)
+    * [UnpredicTable-sporcle-com](https://huggingface.co/datasets/MicPie/unpredictable_sporcle-com)
+    * [UnpredicTable-studystack-com](https://huggingface.co/datasets/MicPie/unpredictable_studystack-com)
+    * [UnpredicTable-support-google-com](https://huggingface.co/datasets/MicPie/unpredictable_support-google-com)
+    * [UnpredicTable-w3-org](https://huggingface.co/datasets/MicPie/unpredictable_w3-org)
+    * [UnpredicTable-wiki-openmoko-org](https://huggingface.co/datasets/MicPie/unpredictable_wiki-openmoko-org)
+    * [UnpredicTable-wkdu-org](https://huggingface.co/datasets/MicPie/unpredictable_wkdu-org)
+
+
+* UnpredicTable data subsets based on clustering (for the clustering details please see our publication):
+    * [UnpredicTable-cluster00](https://huggingface.co/datasets/MicPie/unpredictable_cluster00)
+    * [UnpredicTable-cluster01](https://huggingface.co/datasets/MicPie/unpredictable_cluster01)
+    * [UnpredicTable-cluster02](https://huggingface.co/datasets/MicPie/unpredictable_cluster02)
+    * [UnpredicTable-cluster03](https://huggingface.co/datasets/MicPie/unpredictable_cluster03)
+    * [UnpredicTable-cluster04](https://huggingface.co/datasets/MicPie/unpredictable_cluster04)
+    * [UnpredicTable-cluster05](https://huggingface.co/datasets/MicPie/unpredictable_cluster05)
+    * [UnpredicTable-cluster06](https://huggingface.co/datasets/MicPie/unpredictable_cluster06)
+    * [UnpredicTable-cluster07](https://huggingface.co/datasets/MicPie/unpredictable_cluster07)
+    * [UnpredicTable-cluster08](https://huggingface.co/datasets/MicPie/unpredictable_cluster08)
+    * [UnpredicTable-cluster09](https://huggingface.co/datasets/MicPie/unpredictable_cluster09)
+    * [UnpredicTable-cluster10](https://huggingface.co/datasets/MicPie/unpredictable_cluster10)
+    * [UnpredicTable-cluster11](https://huggingface.co/datasets/MicPie/unpredictable_cluster11)
+    * [UnpredicTable-cluster12](https://huggingface.co/datasets/MicPie/unpredictable_cluster12)
+    * [UnpredicTable-cluster13](https://huggingface.co/datasets/MicPie/unpredictable_cluster13)
+    * [UnpredicTable-cluster14](https://huggingface.co/datasets/MicPie/unpredictable_cluster14)
+    * [UnpredicTable-cluster15](https://huggingface.co/datasets/MicPie/unpredictable_cluster15)
+    * [UnpredicTable-cluster16](https://huggingface.co/datasets/MicPie/unpredictable_cluster16)
+    * [UnpredicTable-cluster17](https://huggingface.co/datasets/MicPie/unpredictable_cluster17)
+    * [UnpredicTable-cluster18](https://huggingface.co/datasets/MicPie/unpredictable_cluster18)
+    * [UnpredicTable-cluster19](https://huggingface.co/datasets/MicPie/unpredictable_cluster19)
+    * [UnpredicTable-cluster20](https://huggingface.co/datasets/MicPie/unpredictable_cluster20)
+    * [UnpredicTable-cluster21](https://huggingface.co/datasets/MicPie/unpredictable_cluster21)
+    * [UnpredicTable-cluster22](https://huggingface.co/datasets/MicPie/unpredictable_cluster22)
+    * [UnpredicTable-cluster23](https://huggingface.co/datasets/MicPie/unpredictable_cluster23)
+    * [UnpredicTable-cluster24](https://huggingface.co/datasets/MicPie/unpredictable_cluster24)
+    * [UnpredicTable-cluster25](https://huggingface.co/datasets/MicPie/unpredictable_cluster25)
+    * [UnpredicTable-cluster26](https://huggingface.co/datasets/MicPie/unpredictable_cluster26)
+    * [UnpredicTable-cluster27](https://huggingface.co/datasets/MicPie/unpredictable_cluster27)
+    * [UnpredicTable-cluster28](https://huggingface.co/datasets/MicPie/unpredictable_cluster28)
+    * [UnpredicTable-cluster29](https://huggingface.co/datasets/MicPie/unpredictable_cluster29)
+    * [UnpredicTable-cluster-noise](https://huggingface.co/datasets/MicPie/unpredictable_cluster-noise)
 
 ### Supported Tasks and Leaderboards
 
@@ -182,7 +182,7 @@ There are also additional meta-data fields such as 'pageTitle', 'title', 'output
 
 ### Data Splits
 
-The AdapTable datasets do not come with additional data splits.
+The UnpredicTable datasets do not come with additional data splits.
 
 ## Dataset Creation
 
@@ -204,7 +204,8 @@ The dataset is extracted from [WDC Web Table Corpora](http://webdatacommons.org/
 
 #### Annotation process
 
-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.
+Manual annotation was only carried out for the [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low),
+[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.
 
 #### Who are the annotators?
 
@@ -239,10 +240,10 @@ Apache 2.0
 ### Citation Information
 
 ```
-@misc{https://ethanperez.net/adaptable,
+@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},
+  title = {Few-shot Adaptation Works with UnpredicTable Data},
   publisher = {arXiv},
   year = {2022},
 }
-```
+```

adaptable_cluster28.py → unpredictable_cluster28.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""This loads the AdapTable-cluster28 dataset."""
+"""This loads the UnpredicTable-cluster28 dataset."""
 
 import json
 import os
@@ -21,30 +21,30 @@ import datasets
 
 
 _CITATION = """\
-@misc{https://ethanperez.net/adaptable,
+@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},
+  title = {Few-shot Adaptation Works with UnpredicTable Data},
   publisher = {arXiv},
   year = {2022},
 }
 """
 
 _DESCRIPTION = """\
-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.
+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.
 """
 
-_HOMEPAGE = "https://ethanperez.net/adaptable"
+_HOMEPAGE = "https://ethanperez.net/unpredictable"
 
 _LICENSE = "Apache 2.0"
 
-_URL = "https://huggingface.co/datasets/MicPie/adaptable_cluster28/resolve/main/data/adaptable_cluster28.jsonl"
+_URL = "https://huggingface.co/datasets/MicPie/unpredictable_cluster28/resolve/main/data/unpredictable_cluster28.jsonl"
 
 logger = datasets.logging.get_logger(__name__)
 
 
-class AdapTableCluster(datasets.GeneratorBasedBuilder):
+class UnpredicTable(datasets.GeneratorBasedBuilder):
     """
-    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.
+    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.
     """
 
     VERSION = datasets.Version("1.0.0")
@@ -94,4 +94,4 @@ class AdapTableCluster(datasets.GeneratorBasedBuilder):
                     "outputColName": data["outputColName"],
                     "url": data["url"],
                     "wdcFile": data["wdcFile"],
-                }
+                }