Update README.md

README.md

@@ -62,7 +62,7 @@ We have also uploaded the raw training and testing splits, for facilitating fine
 - [NER](https://huggingface.co/datasets/AdaptLLM/NER)
 - [FPB](https://huggingface.co/datasets/AdaptLLM/FPB)
 
-The other datasets used in our paper have already been available in huggingface, so you can directly load them with the following code:
+The other datasets used in our paper have already been available in huggingface, and you can directly load them with the following code:
 ```python
 from datasets import load_dataset
 
@@ -71,7 +71,7 @@ dataset = load_dataset('medical_questions_pairs')
 # PubmedQA:
 dataset = load_dataset('bigbio/pubmed_qa')
 # USMLE:
-dataset=load_dataset('GBaker/MedQA-USMLE-4-options', cache_dir=cache_dir)
+dataset=load_dataset('GBaker/MedQA-USMLE-4-options')
 # SCOTUS
 dataset = load_dataset("lex_glue", 'scotus')
 # CaseHOLD
@@ -95,18 +95,18 @@ url={https://openreview.net/forum?id=y886UXPEZ0}
 
 and the original dataset:
 ```bibtex
-@inproceedings{FiQA-SA,
-  author       = {Macedo Maia and
-                  Siegfried Handschuh and
-                  Andr{\'{e}} Freitas and
-                  Brian Davis and
-                  Ross McDermott and
-                  Manel Zarrouk and
-                  Alexandra Balahur},
-  title        = {WWW'18 Open Challenge: Financial Opinion Mining and Question Answering},
-  booktitle    = {{WWW} (Companion Volume)},
-  pages        = {1941--1942},
-  publisher    = {{ACM}},
-  year         = {2018}
+@article{FPB,
+  author       = {Pekka Malo and
+                  Ankur Sinha and
+                  Pekka J. Korhonen and
+                  Jyrki Wallenius and
+                  Pyry Takala},
+  title        = {Good debt or bad debt: Detecting semantic orientations in economic
+                  texts},
+  journal      = {J. Assoc. Inf. Sci. Technol.},
+  volume       = {65},
+  number       = {4},
+  pages        = {782--796},
+  year         = {2014}
 }
 ```