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README.md

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+---
+license: cc-by-nc-sa-4.0
+task_categories:
+- text-classification
+language:
+- de
+pretty_name: GerMS-AT
+size_categories:
+- 1K<n<10K
+---
+
+# German Misogyny/Sexsim - Austria (GerMS-AT) Dataset
+
+## Summary
+
+This dataset contains user comments from an Austrian online newspaper. 
+The comments have been  annotated by 2 or more out of 8 annotators 
+as to how strong sexism/mysogyny is present in the comment.
+
+For each comment, the code of the annotator and the label assigned is given for all 
+annotators which have annotated that comment.  Labels represent the severity of any 
+sexism/misogyny present in the comment from 0 (none), 
+1 (mild), 2 (present), 3 (strong) to 4 (severe). 
+
+The dataset currently contains 7995 comments. 
+
+A unique propery of this corpus is that it contains only a small portion of sexist/misogynyst remarks
+which use strong language, curse-words or otherwise blatantly offending terms, a large number 
+of comments contain more subtle, indirect or at times ambiguous forms of sexism/misogyny. 
+
+## Data Structure
+
+All comments are in a single JSONL file, one comment per line with the following properties:
+
+* JSONL File: each line contains the JSON representation of a map
+* Each map contains the information for one comment
+* The map contains the following fields
+  * `text`: the text of the comment. The text may contain umlauts or other special characters and may contain arbitrary whitespace, newlines or carriage return charachters
+  * `annotations`: a list of maps, each map containing the fields "user" (the code of the annotator which provided the label) and "label" (the label assigned, see below). 
+  * `round`: comments were annotated in rounds of 100, this gives the round identifier as a string containing a two-digit round number, e.g. "00" or "13"
+  * `source`: the code which identifies how comments which are likely negative and positive examples where selected for the annotation round
+  
+### Annotator codes - the following table shows the possible annotator codes and the number of comments annotated by each of them:
+
+| Annotator code | Annotations | 
+| -- | --: | 
+| A1m  |  1298 |
+| A2f  |  7995 |
+| A3m  |  1699 |
+| A4m  |  1898 |
+| A5f  |  2097 |
+| A7f  |  1698 |
+| A8f  |  2498 | 
+| A9f  |  3897 |
+  
+The suffix of the annotator code identifies the self-declared gender (f=female, m=male) of the annotator. 
+
+### Comment source identifiers
+
+The following comment source identifiers are present in the `source` field of the given number of comments:
+
+| Comment source | number of comments | 
+| --- | ---: | 
+| forum1-sexist            |   1400
+| meld02/meld02neg         |   1000
+| meld02/neg01             |    999
+| meld04/meld04neg         |    899
+| forum2                   |    800
+| forum1                   |    799
+| meld02CLpos/meld02CLneg  |    700
+| meld01/meld01neg         |    698
+| meld03/meld03neg         |    500
+| meld01/neg01             |    200
+
+
+## Language
+
+The comments are from a German (mostly Austrian variant) language web site, but may contain English terms which are 
+commonly used by German speakers, quotes of English text or other non-German parts.
+
+## Anonymization 
+
+No metatdata about the comments is provided, the date of when the comment was written is deliberately not provided. 
+The comment texts have been scanned automatically and manually for any occurrence of information about the username or 
+real name of a person. Any such occurrence has been replaced with the placeholder `{USER}`. In ambiguous cases where it was not 
+clear if a name refers to a user or e.g. somebody mentioned in the newspaper article, the name was replaced by the placeholder. 
+All mentions of web addresses / URLs were replaced with the placeholder `{URL}`
+
+## Datasheet
+
+See the detailled [datasheet](./datasheet.md)
+
+## Papers
+
+TBD

datasheet.md

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+# GerMS-AT Dataset Datasheet
+
+This file contains information about the GerMS-AT Dataset structured according to 
+["T. Gebru et.al. (2021): Datasheets for Datasets"](https://arxiv.org/abs/1803.09010)
+
+If there is a need for additional information or clarification, please feel free to contact any
+of the the maintainers of this repository. 
+
+### Motivation
+
+* Purpose of dataset creation: 
+* Dataset creators: 
+* Funding of dataset creation: 
+
+### Composition
+
+* Instance representation: 
+* Number of instances:
+* Completeness/sampling: 
+* Data per instance: 
+* Label/target per instance:
+* Missing per-instance information:
+* Relationships between instances:
+* Recommended data splits: 
+* Errors, sources of noise, redundancies: 
+* Self contained: 
+* Presence of confidential information: 
+* Presence of offensive or otherwise problematic data: 
+* Identifyability of subpopulations: 
+* Identifyability of individuals: 
+* Presence of sensitive information: 
+
+### Collection Process
+
+* Data associated with each instance:
+* Data collection procedure:
+* Sampling strategy:
+* People involved in the data collection process:
+* Collection period:
+* Ethical review processes:
+* Direct/indirect data collection:
+

load_dataset.py

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+from datasets import load_dataset
+
+dataset = load_dataset("ofai/GerMS-AT")