Update README.md

README.md

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 size_categories:
 - 1M<n<10M
 license: apache-2.0
-pretty_name: LangCache SentecePairs v1
+pretty_name: RedisLangCache SentecePairs v1
 ---
 # Redis LangCache Sentence Pairs Dataset
 
@@ -294,6 +294,16 @@ Total **~1.12M** pairs: **~1.05M train**, **8.4k validation**, **62k test**. See
 - **SICK (Sentences Involving Compositional Knowledge)** — [Dataset page](http://marcobaroni.org/composes/sick.html) | [Dataset on Hugging Face](https://huggingface.co/datasets/sick)
 - **STS-B (Semantic Textual Similarity Benchmark)** — [SemEval 2017 Task page](http://alt.qcri.org/semeval2017/task1/) | [Dataset on Hugging Face](https://huggingface.co/datasets/stsb)
 
+- **APT (Adversarial Paraphrasing Task)** — [Paper](https://aclanthology.org/2021.acl-long.552/) | [Dataset repo](https://github.com/Advancing-Machine-Human-Reasoning-Lab/apt)
+- **MRPC (Microsoft Research Paraphrase Corpus)** — [Dataset page](https://www.microsoft.com/en-us/download/details.aspx?id=52398) | [GLUE version](https://huggingface.co/datasets/glue/viewer/mrpc)
+- **PARADE (Paraphrase Identification requiring Domain Knowledge)** — [Paper (EMNLP 2020)](https://aclanthology.org/2020.emnlp-main.611/) | [Dataset repo](https://github.com/heyunh2015/PARADE_dataset)
+- **PAWS (Paraphrase Adversaries from Word Scrambling)** — [Paper](https://arxiv.org/abs/1904.01130) | [Dataset on Hugging Face](https://huggingface.co/datasets/paws)
+- **PIT2015 (SemEval 2015 Twitter Paraphrase)** — [Task page](https://alt.qcri.org/semeval2015/task1/) | [Dataset on Hugging Face](https://huggingface.co/datasets/pit2015)
+- **QQP (Quora Question Pairs)** — [GLUE version](https://huggingface.co/datasets/glue/viewer/qqp)
+- **SICK (Sentences Involving Compositional Knowledge)** — [Dataset page](http://marcobaroni.org/composes/sick.html) | [Dataset on Hugging Face](https://huggingface.co/datasets/sick)
+- **STS-B (Semantic Textual Similarity Benchmark)** — [Task page](https://alt.qcri.org/semeval2017/task1/) | [Dataset on Hugging Face](https://huggingface.co/datasets/stsb)
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 ## Uses
 
 - Train/fine-tune sentence encoders for **semantic retrieval** and **re-ranking**.