Update README.md

README.md

@@ -1,3 +1,70 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- text-classification
+language:
+- pt
+tags:
+- NLI
+- datasets
+pretty_name: InferBR
+size_categories:
+- 10K<n<100K
+dataset_info:
+  features:
+  - name: sentence_pair_id
+    dtype: int64
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': CONTRADICTION
+          '1': ENTAILMENT
+          '2': NEUTRAL
+---
+
+# InferBR
+
+This is the InferBR dataset for Natural Language Inference in Portuguese. This version removes the flagged low-quality samples from the original dataset,
+keeping 10.528 samples. The Github repo with the raw data can be found at: https://github.com/lbencke/InferBR.
+
+## Columns
+
+**sentence_pair_id**: Identifier for premise-hypothesis sentence pairs.
+**premise**: The premise sentence.
+**hypothesis**: The hypothesis sentence.
+**label**: The generated label for the hypothesis considering the premise.
+
+    0 – Contradiction
+    1 – Entailment
+    2 – Neutral
+
+
+
+
+# Citation
+
+@inproceedings{bencke-etal-2024-inferbr-natural,
+    title = "{I}nfer{BR}: A Natural Language Inference Dataset in {P}ortuguese",
+    author = "Bencke, Luciana  and
+      Pereira, Francielle Vasconcellos  and
+      Santos, Moniele Kunrath  and
+      Moreira, Viviane",
+    editor = "Calzolari, Nicoletta  and
+      Kan, Min-Yen  and
+      Hoste, Veronique  and
+      Lenci, Alessandro  and
+      Sakti, Sakriani  and
+      Xue, Nianwen",
+    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
+    month = may,
+    year = "2024",
+    address = "Torino, Italy",
+    publisher = "ELRA and ICCL",
+    url = "https://aclanthology.org/2024.lrec-main.793",
+    pages = "9050--9060",
+}