Update README.md

README.md

@@ -107,54 +107,23 @@ HuCoPA has 3 splits: *train*, *validation* and *test*.
 
 ## Dataset Creation
 
-### Curation Rationale
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-[More Information Needed]
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 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-[More Information Needed]
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-#### Who are the source language producers?
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-[More Information Needed]
+The data is a translation of the content of the CoPA corpus. Each sentence was translated by a human translator. Each translation was manually checked and further refined by another annotator. 
 
 ### Annotations
 
 #### Annotation process
 
-[More Information Needed]
+The instances initially inherited their original labels from the CoPA dataset. Each instance was annotated by a human annotator. If the original label and the human annotator's label did not match, we manually curated the instance and assigned a final label to that. This step was necessary to ensure that the causal realationship had not been changed or lost during the translation process. 
 
 #### Who are the annotators?
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-[More Information Needed]
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-### Personal and Sensitive Information
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-[More Information Needed]
-
-## Considerations for Using the Data
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-### Social Impact of Dataset
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-[More Information Needed]
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-### Discussion of Biases
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-[More Information Needed]
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-### Other Known Limitations
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-[More Information Needed]
+The translators were native Hungarian speakers with English proficiency. The annotators were university students with some linguistic background.
 
 ## Additional Information
 
-### Dataset Curators
-
-[More Information Needed]
-
 ### Licensing Information
 
 HuCoPA is released under the BSD 2-Clause License.
@@ -189,9 +158,16 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
 If you use this resource or any part of its documentation, please refer to:
 
-Later...
-
-
+Ligeti-Nagy, N., Ferenczi, G., Héja, E., Jelencsik-Mátyus, K., Laki, L. J., Vadász, N., Yang, Z. Gy. and Vadász, T. (2022) HuLU: magyar nyelvű benchmark adatbázis
+kiépítése a neurális nyelvmodellek kiértékelése céljából [HuLU: Hungarian benchmark dataset to evaluate neural language models]. XVIII. Magyar Számítógépes Nyelvészeti Konferencia. (in press)
+```
+@inproceedings{ligetinagy2022hulu,
+  title={uLU: magyar nyelvű benchmark adatbázis kiépítése a neurális nyelvmodellek kiértékelése céljából},
+  author={Ligeti-Nagy, N. and Ferenczi, G. and Héja, E. and Jelencsik-Mátyus, K. and Laki, L. J. and Vadász, N. and Yang, Z. Gy. and Vadász, T.},
+  booktitle={XVIII. Magyar Számítógépes Nyelvészeti Konferencia},
+  year={2022}
+}
+```
 and to:
 
 Roemmele, M., Bejan, C., and Gordon, A. (2011) Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning. AAAI Spring Symposium on Logical Formalizations of Commonsense Reasoning, Stanford University, March 21-23, 2011.