fix readme

README.md

@@ -27,7 +27,8 @@ This dataset contains 5 different word analogy questions used in [Analogy Langua
 | `u4`      | 48/432            | 5,4,3         | 5                     | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) |
 | `google`  | 50/500            | 4             | 2                     | [Mikolov et al., (2013)](https://www.aclweb.org/anthology/N13-1090.pdf)    |
 | `bats`    | 199/1799          | 4             | 3                     | [Gladkova et al., (2016)](https://www.aclweb.org/anthology/N18-2017.pdf)   |
-
+| `t_rex_relation_similarity`    | 467/467          | 6             | -                     | [relbert/t_rex_relation_similarity](https://huggingface.co/datasets/relbert/t_rex_relation_similarity)  |
+| `semeval2012_relational_similarity`    | 78/-          | 3             | -                     | [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity)  |
 
 ## Dataset Structure
 ### Data Instances

analogy_questions.py

@@ -5,7 +5,7 @@ import datasets
 logger = datasets.logging.get_logger(__name__)
 _DESCRIPTION = """[Analogy Question](https://aclanthology.org/2021.acl-long.280/)"""
 _NAME = "analogy_questions"
-_VERSION = "1.0.3"
+_VERSION = "1.0.4"
 _CITATION = """
 @inproceedings{ushio-etal-2021-bert,
     title = "{BERT} is to {NLP} what {A}lex{N}et is to {CV}: Can Pre-Trained Language Models Identify Analogies?",