README update

README.md

@@ -21,16 +21,140 @@ task_ids:
 - text-classification-other-stance-detection
 ---
 
-# Dataset Card for "x-stance"
+# Dataset Card for X-Stance
 
 ## 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/ZurichNLP/xstance](https://github.com/ZurichNLP/xstance)
+- **Paper:** [http://ceur-ws.org/Vol-2624/paper9.pdf](http://ceur-ws.org/Vol-2624/paper9.pdf)
+- **Point of Contact:**
+
 ### Dataset Summary
 
+The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.
+
+### Languages
+
+German, French/Italian
+
 ## Dataset Structure
 
+### Data Instances
+
+```
+{
+    'id': '0', 
+    'question': 'Eine Volksinitiative fordert, dass die Gesamtfläche der Bauzonen in der Schweiz für die nächsten 20 Jahre auf dem heutigen Stand begrenzt wird. Befürworten Sie dieses Anliegen?', 
+    'comment': 'Eine fixe Grösse verbieten, ist das falsche Mittel', '
+    label': 0
+}
+```
+
+### Data Fields
+
+- `id`: a 'string' feature.
+- `question`: a 'string' expressing a claim/topic.
+- `comment`: a 'string' to be classified for its stance to the source.
+- `label`: 
+```
+            0: "AGAINST",
+            1: "FAVOR"
+```
+
+### Data Splits
+
+|languages|name|instances|
+|---------|----|----:|
+|de|train|33850|
+|de|validation|2871|
+|de|test|11891|
+|fr|train|11790|
+|fr|validation|1055|
+|fr|test|5814|
+
+## 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
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.

dataset_infos.json

@@ -1 +1 @@
-{"de": {"description": "The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.\n", "citation": "@inproceedings{vamvas2020xstance,\n    author    = \"Vamvas, Jannis and Sennrich, Rico\",\n    title     = \"{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection\",\n    booktitle = \"Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \\& 16th Conference on Natural Language Processing (KONVENS)\",\n    address   = \"Zurich, Switzerland\",\n    year      = \"2020\",\n    month     = \"jun\",\n    url       = \"http://ceur-ws.org/Vol-2624/paper9.pdf\"\n}\n", "homepage": "", "license": "cc-by-4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "comment": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["FAVOR", "AGAINST"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "x_stance", "config_name": "de", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 11290213, "num_examples": 33850, "dataset_name": "x_stance"}, "validation": {"name": "validation", "num_bytes": 954346, "num_examples": 2871, "dataset_name": "x_stance"}, "test": {"name": "test", "num_bytes": 3788752, "num_examples": 11891, "dataset_name": "x_stance"}}, "download_checksums": {"x-stance-train-de.csv": {"num_bytes": 11023000, "checksum": "74842e9dd186851c4b71b8da57987c92cca29a9c86acd99dc057e32e507976c8"}, "x-stance-valid-de.csv": {"num_bytes": 931688, "checksum": "99b81cca23ffe41b3f5d4576c293f0265dada74dd49368a251934712456c834c"}, "x-stance-test-de.csv": {"num_bytes": 3694416, "checksum": "9ce9fc600881a052fb48b6e58f2485b0d7a86a9fda23679574acf37426c9b478"}}, "download_size": 15649104, "post_processing_size": null, "dataset_size": 16033311, "size_in_bytes": 31682415}, "fr": {"description": "The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.\n", "citation": "@inproceedings{vamvas2020xstance,\n    author    = \"Vamvas, Jannis and Sennrich, Rico\",\n    title     = \"{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection\",\n    booktitle = \"Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \\& 16th Conference on Natural Language Processing (KONVENS)\",\n    address   = \"Zurich, Switzerland\",\n    year      = \"2020\",\n    month     = \"jun\",\n    url       = \"http://ceur-ws.org/Vol-2624/paper9.pdf\"\n}\n", "homepage": "", "license": "cc-by-4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "comment": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["FAVOR", "AGAINST"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "x_stance", "config_name": "fr", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4357694, "num_examples": 11790, "dataset_name": "x_stance"}, "validation": {"name": "validation", "num_bytes": 378539, "num_examples": 1055, "dataset_name": "x_stance"}, "test": {"name": "test", "num_bytes": 2035193, "num_examples": 5814, "dataset_name": "x_stance"}}, "download_checksums": {"x-stance-train-fr.csv": {"num_bytes": 4260329, "checksum": "01c3d47b3758263a0b1e07d9bb124d9fa91eeaaa44fb002a2f6a41a3e3d76c30"}, "x-stance-valid-fr.csv": {"num_bytes": 369863, "checksum": "5886d34e849610c565172f0d0138dac3d645ab9e34251c46af89f8a6756f6eef"}, "x-stance-test-fr.csv": {"num_bytes": 1986935, "checksum": "ce413cd614f6a345125d1f2d692a31f9c017c48bd1b741eb86c815f4da4444f0"}}, "download_size": 6617127, "post_processing_size": null, "dataset_size": 6771426, "size_in_bytes": 13388553}}
+{"de": {"description": "The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.\n", "citation": "@inproceedings{vamvas2020xstance,\n    author    = \"Vamvas, Jannis and Sennrich, Rico\",\n    title     = \"{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection\",\n    booktitle = \"Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \\& 16th Conference on Natural Language Processing (KONVENS)\",\n    address   = \"Zurich, Switzerland\",\n    year      = \"2020\",\n    month     = \"jun\",\n    url       = \"http://ceur-ws.org/Vol-2624/paper9.pdf\"\n}\n", "homepage": "", "license": "cc-by-4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "comment": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["AGAINST", "FAVOR"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "x_stance", "config_name": "de", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 11290213, "num_examples": 33850, "dataset_name": "x_stance"}, "validation": {"name": "validation", "num_bytes": 954346, "num_examples": 2871, "dataset_name": "x_stance"}, "test": {"name": "test", "num_bytes": 3788752, "num_examples": 11891, "dataset_name": "x_stance"}}, "download_checksums": {"x-stance-train-de.csv": {"num_bytes": 11023000, "checksum": "74842e9dd186851c4b71b8da57987c92cca29a9c86acd99dc057e32e507976c8"}, "x-stance-valid-de.csv": {"num_bytes": 931688, "checksum": "99b81cca23ffe41b3f5d4576c293f0265dada74dd49368a251934712456c834c"}, "x-stance-test-de.csv": {"num_bytes": 3694416, "checksum": "9ce9fc600881a052fb48b6e58f2485b0d7a86a9fda23679574acf37426c9b478"}}, "download_size": 15649104, "post_processing_size": null, "dataset_size": 16033311, "size_in_bytes": 31682415}, "fr": {"description": "The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.\n", "citation": "@inproceedings{vamvas2020xstance,\n    author    = \"Vamvas, Jannis and Sennrich, Rico\",\n    title     = \"{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection\",\n    booktitle = \"Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \\& 16th Conference on Natural Language Processing (KONVENS)\",\n    address   = \"Zurich, Switzerland\",\n    year      = \"2020\",\n    month     = \"jun\",\n    url       = \"http://ceur-ws.org/Vol-2624/paper9.pdf\"\n}\n", "homepage": "", "license": "cc-by-4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "comment": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["AGAINST", "FAVOR"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "x_stance", "config_name": "fr", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4357694, "num_examples": 11790, "dataset_name": "x_stance"}, "validation": {"name": "validation", "num_bytes": 378539, "num_examples": 1055, "dataset_name": "x_stance"}, "test": {"name": "test", "num_bytes": 2035193, "num_examples": 5814, "dataset_name": "x_stance"}}, "download_checksums": {"x-stance-train-fr.csv": {"num_bytes": 4260329, "checksum": "01c3d47b3758263a0b1e07d9bb124d9fa91eeaaa44fb002a2f6a41a3e3d76c30"}, "x-stance-valid-fr.csv": {"num_bytes": 369863, "checksum": "5886d34e849610c565172f0d0138dac3d645ab9e34251c46af89f8a6756f6eef"}, "x-stance-test-fr.csv": {"num_bytes": 1986935, "checksum": "ce413cd614f6a345125d1f2d692a31f9c017c48bd1b741eb86c815f4da4444f0"}}, "download_size": 6617127, "post_processing_size": null, "dataset_size": 6771426, "size_in_bytes": 13388553}}

x_stance.py

@@ -63,8 +63,8 @@ class XStance(datasets.GeneratorBasedBuilder):
                 "comment": datasets.Value("string"),
                 "label": datasets.features.ClassLabel(
                     names=[
-                        "FAVOR",
                         "AGAINST",
+                        "FAVOR",
                     ]
                 )
             }