Update pair-classification-binary-gender-bias-mitigated-roberta-snli.…

…json with correct versions of allennlp-models and allennlp (#272)

* Update pair-classification-binary-gender-bias-mitigated-roberta-snli.json

* Update CHANGELOG.md

* Update pair-classification-binary-gender-bias-mitigated-roberta-snli.json

Changing reference to reflect conference proceedings in which paper was published, at request of author

* Update textual_entailment.json

CHANGELOG.md

@@ -13,8 +13,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Fixed
 
-- Fixed registerd model name in the `pair-classification-roberta-rte` and `vgqa-vilbert` model cards.
-
+- Fixed `binary-gender-bias-mitigated-roberta-snli` model card to indicate that model requires `allennlp@v2.5.0`.
+- Fixed registered model name in the `pair-classification-roberta-rte` and `vgqa-vilbert` model cards.
 
 ## [v2.5.0](https://github.com/allenai/allennlp-models/releases/tag/v2.5.0) - 2021-06-03
 

allennlp_models/modelcards/pair-classification-binary-gender-bias-mitigated-roberta-snli.json

@@ -13,7 +13,7 @@
         "version": "1",
         "model_type": "RoBERTa",
         "paper": {
-            "citation": "\n@article{Dev2020OnMA,\ntitle={On Measuring and Mitigating Biased Inferences of Word Embeddings},\nauthor={Sunipa Dev and Tao Li and J. M. Phillips and Vivek Srikumar},\njournal={ArXiv},\nyear={2020},\nvolume={abs/1908.09369}\n",
+            "citation": "\n@article{Dev2020OnMA,\ntitle={On Measuring and Mitigating Biased Inferences of Word Embeddings},\nauthor={Sunipa Dev and Tao Li and J. M. Phillips and Vivek Srikumar},\njournal={Proceedings of the AAAI Conference on Artificial Intelligence},\nyear={2020},\nvolume={34},\nnumber={05},\npages={7659-7666},\nDOI={10.1609/aaai.v34i05.6267}\n",
             "title": "On Measuring and Mitigating Biased Inferences of Word Embeddings",
             "url": "https://api.semanticscholar.org/CorpusID:201670701"
         },
@@ -65,6 +65,6 @@
     "model_usage": {
         "archive_file": "binary-gender-bias-mitigated-snli-roberta.2021-05-20.tar.gz",
         "training_config": "pair_classification/binary_gender_bias_mitigated_snli_roberta.jsonnet",
-        "install_instructions": "pip install allennlp==2.1.0 allennlp-models==2.1.0"
+        "install_instructions": "pip install allennlp==2.5.0 allennlp-models==2.5.0"
     }
 }

allennlp_models/taskcards/textual_entailment.json

@@ -26,5 +26,9 @@
                         "premise" : "A handmade djembe was on display at the Smithsonian.",
                         "hypothesis" : "Visitors could see the djembe.",
                     },
+                    {
+                        "premise": "An accountant can afford a computer.",
+                        "hypothesis": "A gentleman can afford a computer.",
+                    }
                 ],
 }