update metadata

README.md

@@ -0,0 +1,188 @@
+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- found
+languages:
+- en
+licenses:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: RumourEval 2019
+size_categories:
+- 10K<n<100K
+source_datasets: []
+task_categories:
+- text-classification
+task_ids:
+- fact-checking
+- text-classification-other-stance-detection
+---
+
+
+
+# Dataset Card for "rumoureval_2019"
+
+## 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 Description
+
+- **Homepage:** [https://competitions.codalab.org/competitions/19938](https://competitions.codalab.org/competitions/19938)
+- **Repository:** [https://figshare.com/articles/dataset/RumourEval_2019_data/8845580](https://figshare.com/articles/dataset/RumourEval_2019_data/8845580)
+- **Paper:** [https://aclanthology.org/S19-2147/](https://aclanthology.org/S19-2147/), [https://arxiv.org/abs/1809.06683](https://arxiv.org/abs/1809.06683)
+- **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
+- **Size of downloaded dataset files:** 
+- **Size of the generated dataset:** 
+- **Total amount of disk used:**  
+
+### Dataset Summary
+
+Stance prediction task in English. The goal is to predict whether a given reply to a claim either supports, denies, questions, or simply comments on the claim. Ran as a SemEval task in 2019.
+
+### Supported Tasks and Leaderboards
+
+* SemEval 2019 task 1
+
+### Languages
+
+English of various origins, bcp47: `en`
+
+## Dataset Structure
+
+### Data Instances
+
+#### polstance
+
+An example of 'train' looks as follows.
+
+```
+{
+	'id': '0', 
+	'source_text': 'Appalled by the attack on Charlie Hebdo in Paris, 10 - probably journalists - now confirmed dead. An attack on free speech everywhere.', 
+	'reply_text': '@m33ryg @tnewtondunn @mehdirhasan Of course it is free speech, that\'s the definition of "free speech" to openly make comments or draw a pic!', 
+	'label': 3
+}
+```
+
+
+### Data Fields
+
+- `id`: a `string` feature.
+- `source_text`: a `string` expressing a claim/topic.
+- `reply_text`: a `string` to be classified for its stance to the source.
+- `label`: a class label representing the stance the text expresses towards the target. Full tagset with indices:
+
+```
+                            0: "support",
+                            1: "deny",
+                            2: "query",
+                            3: "comment"
+```
+- `quoteID`: a `string` of the internal quote ID.
+- `party`: a `string` describing the party affiliation of the quote utterer at the time of utterance.
+- `politician`: a `string` naming the politician who uttered the quote.
+
+### Data Splits
+
+|  name   |instances|
+|---------|----:|
+|train|7 005|
+|dev|2 425|
+|test|2 945|
+
+## Dataset Creation
+
+### Curation Rationale
+
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+
+#### Who are the source language producers?
+
+Twitter users
+
+### Annotations
+
+#### Annotation process
+
+Detailed in [Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads](https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0150989)
+
+#### Who are the annotators?
+
+
+### Personal and Sensitive Information
+
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+
+### Discussion of Biases
+
+
+### Other Known Limitations
+
+## Additional Information
+
+### Dataset Curators
+
+The dataset is curated by the paper's authors.
+
+### Licensing Information
+
+The authors distribute this data under Creative Commons attribution license, CC-BY 4.0. 
+
+### Citation Information
+
+```
+@inproceedings{gorrell-etal-2019-semeval,
+    title = "{S}em{E}val-2019 Task 7: {R}umour{E}val, Determining Rumour Veracity and Support for Rumours",
+    author = "Gorrell, Genevieve  and
+      Kochkina, Elena  and
+      Liakata, Maria  and
+      Aker, Ahmet  and
+      Zubiaga, Arkaitz  and
+      Bontcheva, Kalina  and
+      Derczynski, Leon",
+    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
+    month = jun,
+    year = "2019",
+    address = "Minneapolis, Minnesota, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/S19-2147",
+    doi = "10.18653/v1/S19-2147",
+    pages = "845--854",
+}
+```
+
+
+### Contributions
+
+Author-added dataset [@leondz](https://github.com/leondz)

rumoureval_2019.py

@@ -1,4 +1,4 @@
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+# Copyright 2022 Mads Kongsbak and Leon Derczynski
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # TODO: Address all TODOs and remove all explanatory comments
-"""TODO: Add a description here."""
+"""RumourEval 2019: Stance Prediction"""
 
 
 import csv
@@ -25,25 +25,39 @@ import datasets
 # TODO: Add BibTeX citation
 # Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
-@InProceedings{huggingface:dataset,
-title = {A great new dataset},
-author={huggingface, Inc.
-},
-year={2020}
+@inproceedings{gorrell-etal-2019-semeval,
+    title = "{S}em{E}val-2019 Task 7: {R}umour{E}val, Determining Rumour Veracity and Support for Rumours",
+    author = "Gorrell, Genevieve  and
+      Kochkina, Elena  and
+      Liakata, Maria  and
+      Aker, Ahmet  and
+      Zubiaga, Arkaitz  and
+      Bontcheva, Kalina  and
+      Derczynski, Leon",
+    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
+    month = jun,
+    year = "2019",
+    address = "Minneapolis, Minnesota, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/S19-2147",
+    doi = "10.18653/v1/S19-2147",
+    pages = "845--854",
 }
+
 """
 
 # TODO: Add description of the dataset here
 # You can copy an official description
 _DESCRIPTION = """\
-This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
+
+Stance prediction task in English. The goal is to predict whether a given reply to a claim either supports, denies, questions, or simply comments on the claim. Ran as a SemEval task in 2019.
 """
 
 # TODO: Add a link to an official homepage for the dataset here
 _HOMEPAGE = ""
 
 # TODO: Add the licence for the dataset here if you can find it
-_LICENSE = ""
+_LICENSE = "cc-by-4.0"
 
 class RumourEval2019Config(datasets.BuilderConfig):
 
@@ -68,8 +82,8 @@ class RumourEval2019(datasets.GeneratorBasedBuilder):
                 "label": datasets.features.ClassLabel(
                     names=[
                         "support",
-                        "query",
                         "deny",
+                        "query",
                         "comment"
                     ]
                 )