Update README.md

README.md

@@ -51,58 +51,29 @@ extra_gated_prompt: "Warning: this repository contains harmful content (abusive
 
 ## Dataset Description
 
-- **Homepage:** [https://sites.google.com/site/offensevalsharedtask/results-and-paper-submission](https://sites.google.com/site/offensevalsharedtask/results-and-paper-submission)
+- **Homepage:** [https://github.com/readerbench/ro-fb-offense](https://github.com/readerbench/ro-fb-offense)
 - **Repository:** 
-- **Paper:** [https://aclanthology.org/2020.semeval-1.188/](https://aclanthology.org/2020.semeval-1.188/), [https://arxiv.org/abs/2006.07235](https://arxiv.org/abs/2006.07235)
-- **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
+- **Paper:** To be announced
+- **Point of Contact:** [Andrei Paraschiv](https://github.com/AndyTheFactory)
 
 ### Dataset Summary
 
-OffensEval 2020 features a multilingual dataset with five languages. The languages included in OffensEval 2020 are:
-
-* Arabic
-* Danish
-* English
-* Greek
-* Turkish
-
-The annotation follows the hierarchical tagset proposed in the Offensive Language Identification Dataset (OLID) and used in OffensEval 2019. 
-In this taxonomy we break down offensive content into the following three sub-tasks taking the type and target of offensive content into account. 
-The following sub-tasks were organized:
-
-* Sub-task A - Offensive language identification;
-* Sub-task B - Automatic categorization of offense types;
-* Sub-task C - Offense target identification.
-
-English training data is omitted so needs to be collected otherwise (see [https://zenodo.org/record/3950379#.XxZ-aFVKipp](https://zenodo.org/record/3950379#.XxZ-aFVKipp))
-
-The source datasets come from:
-
-* Arabic [https://arxiv.org/pdf/2004.02192.pdf](https://arxiv.org/pdf/2004.02192.pdf), [https://aclanthology.org/2021.wanlp-1.13/](https://aclanthology.org/2021.wanlp-1.13/)
-* Danish [https://arxiv.org/pdf/1908.04531.pdf](https://arxiv.org/pdf/1908.04531.pdf), [https://aclanthology.org/2020.lrec-1.430/?ref=https://githubhelp.com](https://aclanthology.org/2020.lrec-1.430/)
-* English [https://arxiv.org/pdf/2004.14454.pdf](https://arxiv.org/pdf/2004.14454.pdf), [https://aclanthology.org/2021.findings-acl.80.pdf](https://aclanthology.org/2021.findings-acl.80.pdf)
-* Greek [https://arxiv.org/pdf/2003.07459.pdf](https://arxiv.org/pdf/2003.07459.pdf), [https://aclanthology.org/2020.lrec-1.629/](https://aclanthology.org/2020.lrec-1.629/)
-* Turkish [https://aclanthology.org/2020.lrec-1.758/](https://aclanthology.org/2020.lrec-1.758/)
-
-### Supported Tasks and Leaderboards
-
-* [OffensEval 2020](https://sites.google.com/site/offensevalsharedtask/results-and-paper-submission)
+FB-RO-Offense corpus, an offensive speech dataset containing 4,455 user-generated comments from Facebook live broadcasts available in Romanian
 
+The annotation follows the hierarchical tagset proposed in the Germeval 2018 Dataset. 
+The following Classes are available:
+  * OTHER: Non-Offensive Language
+  * OFFENSIVE:
+    - PROFANITY
+    - INSULT
+    - ABUSE
+    
 ### Languages
 
-Five are covered: bcp47 `ar;da;en;gr;tr`
+Romanian
 
 ## Dataset Structure
 
-There are five named configs, one per language:
-
-* `ar` Arabic
-* `da` Danish
-* `en` English
-* `gr` Greek
-* `tr` Turkish
-
-The training data for English is absent - this is 9M tweets that need to be rehydrated on their own. See [https://zenodo.org/record/3950379#.XxZ-aFVKipp](https://zenodo.org/record/3950379#.XxZ-aFVKipp)
 
 ### Data Instances
 
@@ -111,41 +82,42 @@ An example of 'train' looks as follows.
 
 ```
 {
-  'id': '0', 
+  'sender': '$USER1208', 
+  'no_reacts': 1,
   'text': 'PLACEHOLDER TEXT', 
-  'subtask_a': 1, 
+  'label': OTHER, 
 }
 ```
 
 
 ### Data Fields
 
-- `id`: a `string` feature.
+- `sender`: a `string` feature.
+- 'no_reacts': a `integer`
 - `text`: a `string`.
-- `subtask_a`: whether or not the instance is offensive; `0: NOT, 1: OFF`
+- `label`: categorical `OTHER`, `PROFANITY`, `INSULT`, `ABUSE`
 
 
 ### Data Splits
 
 |  name   |train|test|
 |---------|----:|---:|
-|ar|7839|1827|
-|da|2961|329|
-|en|0|3887|
-|gr|8743|1544|
-|tr|31277|3515|
+|ro|x|x|
+
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-Collecting data for abusive language classification. Different rational for each dataset.
+Collecting data for abusive language classification for Romanian Language.
 
 ### Source Data
 
+Facebook comments
+
 #### Initial Data Collection and Normalization
 
-Varies per language dataset
+
 
 #### Who are the source language producers?
 
@@ -155,11 +127,11 @@ Social media users
 
 #### Annotation process
 
-Varies per language dataset
+
 
 #### Who are the annotators?
 
-Varies per language dataset; native speakers
+Native speakers
 
 ### Personal and Sensitive Information
 
@@ -181,46 +153,18 @@ The data definitely contains abusive language. The data could be used to develop
 
 ### Dataset Curators
 
-The datasets is curated by each sub-part's paper authors.
 
 ### Licensing Information
 
-This data is available and distributed under Creative Commons attribution license, CC-BY 4.0. 
+This data is available and distributed under Apache-2.0 license
 
 ### Citation Information
 
 ```
-@inproceedings{zampieri-etal-2020-semeval,
-    title = "{S}em{E}val-2020 Task 12: Multilingual Offensive Language Identification in Social Media ({O}ffens{E}val 2020)",
-    author = {Zampieri, Marcos  and
-      Nakov, Preslav  and
-      Rosenthal, Sara  and
-      Atanasova, Pepa  and
-      Karadzhov, Georgi  and
-      Mubarak, Hamdy  and
-      Derczynski, Leon  and
-      Pitenis, Zeses  and
-      {\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}},
-    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
-    month = dec,
-    year = "2020",
-    address = "Barcelona (online)",
-    publisher = "International Committee for Computational Linguistics",
-    url = "https://aclanthology.org/2020.semeval-1.188",
-    doi = "10.18653/v1/2020.semeval-1.188",
-    pages = "1425--1447",
-    abstract = "We present the results and the main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval-2020). The task included three subtasks corresponding to the hierarchical taxonomy of the OLID schema from OffensEval-2019, and it was offered in five languages: Arabic, Danish, English, Greek, and Turkish. OffensEval-2020 was one of the most popular tasks at SemEval-2020, attracting a large number of participants across all subtasks and languages: a total of 528 teams signed up to participate in the task, 145 teams submitted official runs on the test data, and 70 teams submitted system description papers.",
-}
+tbd
 
 ```
 
 
 ### Contributions
 
-Author-added dataset [@leondz](https://github.com/leondz) 
-
-
----
-FB-RO-Offense corpus, an offensive speech dataset containing 4,455 user-generated comments from Facebook live broadcasts
-
----