Merge pull request #490 from QData/scipy-version-plus-two-doc-updates

scipy version plus minor documentation updates

README.md

@@ -397,7 +397,11 @@ textattack train --model bert-base-uncased --dataset glue^cola --batch-size 32 -
 
 ### To check datasets: `textattack peek-dataset`
 
-To take a closer look at a dataset, use `textattack peek-dataset`. TextAttack will print some cursory statistics about the inputs and outputs from the dataset. For example, `textattack peek-dataset --dataset-from-huggingface snli` will show information about the SNLI dataset from the NLP package.
+To take a closer look at a dataset, use `textattack peek-dataset`. TextAttack will print some cursory statistics about the inputs and outputs from the dataset. For example, 
+```bash
+textattack peek-dataset --dataset-from-huggingface snli
+```
+will show information about the SNLI dataset from the NLP package.
 
 
 ### To list functional components: `textattack list`

docs/1start/FAQ.md

@@ -42,6 +42,14 @@ conda activate textattackenv
 conda env list
 ```
 
+If you want to use the most-up-to-date version of textattack (normally with newer bug fixes), you can run the following: 
+```bash
+git clone https://github.com/QData/TextAttack.git
+cd TextAttack
+pip install .[dev]
+```
+
+
 ### 1. How to Train
 
 For example, you can *Train our default LSTM for 50 epochs on the Yelp Polarity dataset:*

requirements.txt

@@ -9,7 +9,7 @@ datasets
 nltk
 numpy<1.19.0 #TF 2.0 requires this
 pandas>=1.0.1
-scipy==1.4.1
+scipy>=1.4.1
 torch>=1.7.0,!=1.8
 transformers>=3.3.0
 terminaltables