final changes

README.md

@@ -0,0 +1,148 @@
+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- found
+languages:
+- ar
+licenses:
+- apache-2.0
+multilinguality:
+- monolingual
+pretty_name: ans-stance
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- fact-checking
+- text-classification-other-stance-detection
+---
+
+# Dataset Card for AraStance
+## Table of Contents
+- [Table of Contents](#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
+- **Repository:** [https://github.com/latynt/ans](https://github.com/latynt/ans)
+- **Paper:** [https://arxiv.org/abs/2005.10410](https://arxiv.org/abs/2005.10410)
+- **Point of Contact:** [Jude Khouja]([email protected])
+
+### Dataset Summary
+The dataset is a collection of news titles in arabic along with paraphrased and corrupted titles. The stance prediction version is a 3-class classification task. Data contains three columns: s1, s2, stance.
+
+### Languages
+Arabic
+
+## Dataset Structure
+
+### Data Instances
+```
+{
+  'id': '0', 
+  's1': 'هجوم صاروخي يستهدف مطار في طرابلس ويجبر ليبيا على تغيير مسار الرحلات الجوية', 
+  's2': 'هدوء الاشتباكات فى طرابلس', 
+  'stance': 0
+}
+
+```
+
+### Data Fields
+- `id`: a 'string' feature.
+- `s1`: a 'string' expressing a claim/topic.
+- `s2`: a 'string' to be classified for its stance to the source.
+- `stance`: a class label representing the stance the article expresses towards the claim. Full tagset with indices:
+```
+                0: "disagree",
+                1: "agree",
+                2: "other",
+```
+
+### Data Splits
+|name|instances|
+|----|----:|
+|train|2652|
+|validation|755|
+|test|379|
+
+## Dataset Creation
+
+### Curation Rationale
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+[More Information Needed]
+
+#### Who are the source language producers?
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+[More Information Needed]
+
+#### Who are the annotators?
+[More Information Needed]
+
+### Personal and Sensitive Information
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+[More Information Needed]
+
+### Discussion of Biases
+[More Information Needed]
+
+### Other Known Limitations
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+The dataset is curated by the paper's authors
+
+### Licensing Information
+The authors distribute this data under the Apache License, Version 2.0 
+
+### Citation Information
+```
+@inproceedings{,
+    title = "Stance Prediction and Claim Verification: An {A}rabic Perspective", 
+    author = "Khouja, Jude",
+    booktitle = "Proceedings of the Third Workshop on Fact Extraction and {VER}ification ({FEVER})",
+    year = "2020",
+    address = "Seattle, USA",
+    publisher = "Association for Computational Linguistics",
+}
+```
+
+### Contributions
+Thanks to [mkonxd](https://github.com/mkonxd), [leondz](https://github.com/leondz) for adding this dataset.

ans_stance.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.
-""""""
+"""DataLoader for ANS, an Arabic News Stance corpus"""
 
 
 import csv
@@ -21,14 +21,23 @@ import os
 import datasets
 
 _CITATION = """\
+@inproceedings{,
+    title = "Stance Prediction and Claim Verification: An {A}rabic Perspective", 
+    author = "Khouja, Jude",
+    booktitle = "Proceedings of the Third Workshop on Fact Extraction and {VER}ification ({FEVER})",
+    year = "2020",
+    address = "Seattle, USA",
+    publisher = "Association for Computational Linguistics",
+}
 """
 
 _DESCRIPTION = """\
+The dataset is a collection of news titles in arabic along with paraphrased and corrupted titles. The stance prediction version is a 3-class classification task. Data contains three columns: s1, s2, stance:
 """
 
 _HOMEPAGE = ""
 
-_LICENSE = "cc-by-4.0"
+_LICENSE = "apache-2.0"
 
 class ANSStanceConfig(datasets.BuilderConfig):
 
@@ -36,7 +45,7 @@ class ANSStanceConfig(datasets.BuilderConfig):
         super(ANSStanceConfig, self).__init__(**kwargs)
 
 class ANSStance(datasets.GeneratorBasedBuilder):
-    """"""
+    """ANS dataset made in triples of (s1, s2, stance)"""
 
     VERSION = datasets.Version("1.0.0")
 

dataset_infos.json

@@ -1 +1 @@
-{"stance": {"description": "", "citation": "", "homepage": "", "license": "cc-by-4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "s1": {"dtype": "string", "id": null, "_type": "Value"}, "s2": {"dtype": "string", "id": null, "_type": "Value"}, "stance": {"num_classes": 3, "names": ["disagree", "agree", "other"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "ans_stance", "config_name": "stance", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 531232, "num_examples": 2652, "dataset_name": "ans_stance"}, "validation": {"name": "validation", "num_bytes": 153125, "num_examples": 755, "dataset_name": "ans_stance"}, "test": {"name": "test", "num_bytes": 76099, "num_examples": 379, "dataset_name": "ans_stance"}}, "download_checksums": {"ans_train.csv": {"num_bytes": 507122, "checksum": "b5486ca4d5f434aaab5025953aeccebffc47181e7918695456fbc26af5e5c7d4"}, "ans_dev.csv": {"num_bytes": 146237, "checksum": "ca7fca0ecaaf5b248d002b104bee54e2d56c32aab9f5fbb7d3ee71d4d88a7621"}, "ans_test.csv": {"num_bytes": 72660, "checksum": "371622ff09260064297197a439fd62ac91c932d8975f3333815746db57f82920"}}, "download_size": 726019, "post_processing_size": null, "dataset_size": 760456, "size_in_bytes": 1486475}}
+{"stance": {"description": "The dataset is a collection of news titles in arabic along with paraphrased and corrupted titles. The stance prediction version is a 3-class classification task. Data contains three columns: s1, s2, stance:\n", "citation": "@inproceedings{,\n    title = \"Stance Prediction and Claim Verification: An {A}rabic Perspective\", \n    author = \"Khouja, Jude\",\n    booktitle = \"Proceedings of the Third Workshop on Fact Extraction and {VER}ification ({FEVER})\",\n    year = \"2020\",\n    address = \"Seattle, USA\",\n    publisher = \"Association for Computational Linguistics\",\n}\n", "homepage": "", "license": "apache-2.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "s1": {"dtype": "string", "id": null, "_type": "Value"}, "s2": {"dtype": "string", "id": null, "_type": "Value"}, "stance": {"num_classes": 3, "names": ["disagree", "agree", "other"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "ans_stance", "config_name": "stance", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 531232, "num_examples": 2652, "dataset_name": "ans_stance"}, "validation": {"name": "validation", "num_bytes": 153125, "num_examples": 755, "dataset_name": "ans_stance"}, "test": {"name": "test", "num_bytes": 76099, "num_examples": 379, "dataset_name": "ans_stance"}}, "download_checksums": {"ans_train.csv": {"num_bytes": 507122, "checksum": "b5486ca4d5f434aaab5025953aeccebffc47181e7918695456fbc26af5e5c7d4"}, "ans_dev.csv": {"num_bytes": 146237, "checksum": "ca7fca0ecaaf5b248d002b104bee54e2d56c32aab9f5fbb7d3ee71d4d88a7621"}, "ans_test.csv": {"num_bytes": 72660, "checksum": "371622ff09260064297197a439fd62ac91c932d8975f3333815746db57f82920"}}, "download_size": 726019, "post_processing_size": null, "dataset_size": 760456, "size_in_bytes": 1486475}}