add offload_folder

README.md

@@ -1,59 +1,20 @@
 # SuperTweetEval
 
-# Dataset Card for "super_glue"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
+# Dataset Card for "super_tweet_eval"
 
 ## Dataset Description
 
-- **Homepage:** [https://github.com/google-research-datasets/boolean-questions](https://github.com/google-research-datasets/boolean-questions)
-- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 58.36 MB
-- **Size of the generated dataset:** 249.57 MB
-- **Total amount of disk used:** 307.94 MB
+- **Homepage:** TBA
+- **Repository:** TBA
+- **Paper:** TBA
+- **Point of Contact:** TBA
 
 ### Dataset Summary
-
-SuperGLUE (https://super.gluebenchmark.com/) is a new benchmark styled after
-GLUE with a new set of more difficult language understanding tasks, improved
-resources, and a new public leaderboard.
-
-BoolQ (Boolean Questions, Clark et al., 2019a) is a QA task where each example consists of a short
-passage and a yes/no question about the passage. The questions are provided anonymously and
-unsolicited by users of the Google search engine, and afterwards paired with a paragraph from a
-Wikipedia article containing the answer. Following the original work, we evaluate with accuracy.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+TBA
 
 ### Languages
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+English
 
 ## Dataset Structure
 ### Data Fields
@@ -67,36 +28,26 @@ The data fields are the same among all splits.
 - `date`: a `string` feature.
 
 #### tweet_ner7
-- `text`: a `string` feature.
-- `label_list`: a list of  `string` feature.
+- `text_tokenized`: a list of `string` feature.
+- `label_sequence`: a list of `string` feature.
 - `id`: a `string` feature.
 - `date`: a `string` feature.
 
-#### axg
-- `premise`: a `string` feature.
-- `hypothesis`: a `string` feature.
-- `idx`: a `int32` feature.
-- `label`: a classification label, with possible values including `entailment` (0), `not_entailment` (1).
-
-#### boolq
-- `question`: a `string` feature.
-- `passage`: a `string` feature.
-- `idx`: a `int32` feature.
-- `label`: a classification label, with possible values including `False` (0), `True` (1).
-
-#### cb
-- `premise`: a `string` feature.
-- `hypothesis`: a `string` feature.
-- `idx`: a `int32` feature.
-- `label`: a classification label, with possible values including `entailment` (0), `contradiction` (1), `neutral` (2).
-
-#### copa
-- `premise`: a `string` feature.
-- `choice1`: a `string` feature.
-- `choice2`: a `string` feature.
+#### tweet_qa
+- `text`: a `string` feature.
+- `label_str`: a `string` feature.
+- `pargraph`: a `string` feature.
 - `question`: a `string` feature.
-- `idx`: a `int32` feature.
-- `label`: a classification label, with possible values including `choice1` (0), `choice2` (1).
+
+#### tweet_intimacy
+- `text`: a `string` feature.
+- `labe_float`: a `float` feature.
+
+#### tweet_similarity
+- `text_1`: a `string` feature.
+- `text_2`: a `string` feature.
+- `labe_float`: a `float` feature.
+
 
 ### Data Splits
 

get_stats.py

@@ -0,0 +1,19 @@
+import pandas as pd
+from datasets import load_dataset
+
+table = []
+task_description = {
+    'tweet_intimacy': "regression on a single text",
+    'tweet_ner': "sequence labeling",
+    'tweet_qa': "generation",
+    'tweet_sim': "regression on two texts",
+    'tweet_topic': "multi-label classification"
+}
+for task in ['tweet_intimacy', 'tweet_ner', 'tweet_qa', 'tweet_sim', 'tweet_topic']:
+    data = load_dataset("cardiffnlp/super_tweet_eval", task)
+    tmp_table = {"task": task, "description": task_description[task]}
+    tmp_table['number of instances'] = " / ".join([str(len(data[s])) for s in ['train', 'validation', 'test']])
+
+
+df = pd.DataFrame(table)
+print(df)