Update README.md

README.md

@@ -12,49 +12,20 @@ tags:
 
 The Skill Annotation dataset is a German dataset developed by Tao Wu at RWTH University. The data is based on course descriptions from Udemy and the BA (German Federal Employment Agency). It was created to support the Skill Extraction task for German course descriptions. The dataset uses Prodigy for annotation
 
-## Dataset Details
 
-### Dataset Description
-
-<!-- Provide a longer summary of what this dataset is. -->
-
-
-
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-
-### Dataset Sources [optional]
-
-<!-- Provide the basic links for the dataset. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the dataset is intended to be used. -->
-
-### Direct Use
-
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
 
 ## Dataset Structure
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-[More Information Needed]
+### Data Instances
+
+{"text":"C#-Entwickler:in mit Ausbildereignung.","tokens":[{"text":"C","id":0,"start":0,"end":1,"tokenizer_id":157,"disabled":false,"ws":false},{"text":"#","id":1,"start":1,"end":2,"tokenizer_id":26990,"disabled":false,"ws":false},{"text":"-","id":2,"start":2,"end":3,"tokenizer_id":26935,"disabled":false,"ws":false},{"text":"Entwickler","id":3,"start":3,"end":13,"tokenizer_id":23340,"disabled":false,"ws":false},{"text":":","id":4,"start":13,"end":14,"tokenizer_id":26964,"disabled":false,"ws":false},{"text":"in","id":5,"start":14,"end":16,"tokenizer_id":50,"disabled":false,"ws":true},{"text":"mit","id":6,"start":17,"end":20,"tokenizer_id":114,"disabled":false,"ws":true},{"text":"Ausbilder","id":7,"start":21,"end":30,"tokenizer_id":27024,"disabled":false,"ws":false},{"text":"eignung","id":8,"start":30,"end":37,"tokenizer_id":17425,"disabled":false,"ws":false},{"text":".","id":9,"start":37,"end":38,"tokenizer_id":26914,"disabled":false,"ws":true}],"_input_hash":-1229748842,"_task_hash":808267201,"_view_id":"ner_manual","spans":[{"start":0,"end":2,"token_start":0,"token_end":1,"label":"SKILL"}],"answer":"accept","_timestamp":1698691436,"_annotator_id":"2023-10-30_19-41-41","_session_id":"2023-10-30_19-41-41"}
+
+### Data Fields
+text: original text segment.
+tokens: tokens splited from the text.
+spans: Annotate tokens with labels.
 
 ## Dataset Creation
 
@@ -62,7 +33,7 @@ The Skill Annotation dataset is a German dataset developed by Tao Wu at RWTH Uni
 
 <!-- Motivation for the creation of this dataset. -->
 
-[More Information Needed]
+This Dataset is for skill extraction from German course descriptions.
 
 ### Source Data
 
@@ -70,13 +41,8 @@ The Skill Annotation dataset is a German dataset developed by Tao Wu at RWTH Uni
 
 #### Data Collection and Processing
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
-
-#### Who are the source data producers?
+Collected from [Udemy](https://www.udemy.com/developers/affiliate/) and [BA](https://github.com/bundesAPI) API.
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
 
 [More Information Needed]
 
@@ -86,37 +52,8 @@ The Skill Annotation dataset is a German dataset developed by Tao Wu at RWTH Uni
 
 #### Annotation process
 
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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-[More Information Needed]
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
-
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+See [Prodigy](https://prodi.gy/)
 
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
 
@@ -126,19 +63,7 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 [More Information Needed]
 
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
 
-[More Information Needed]
 
 ## Dataset Card Contact