Update README.md

README.md

@@ -39,12 +39,14 @@ import dask_ml.feature_extraction.text
 import dask.bag as db
 
 from transformers import AutoTokenizer, AutoModel
-from huggingface_hub import notebook_login, HfApi, hf_hub_download, Repository
 from datasets import load_dataset
 from datasets.utils.py_utils import convert_file_size_to_int
 
+
 def batch_tokenize(batch):
-    return {'tokenized': [' '.join(e.tokens) for e in tokenizer(batch['text']).encodings]}
+    return {'tokenized': [' '.join(e.tokens) for e in tokenizer(batch['text']).encodings]} # "text" column hard encoded
+
+dset = load_dataset(..., split="train")
 
 dset = dset.map(batch_tokenize, batched=True, batch_size=64, num_proc=28)
 
@@ -78,7 +80,7 @@ svd = TruncatedSVD(n_components=160)
 X_svd = svd.fit_transform(tfidf)
 
 tsne = TSNE(
-    perplexity=30,
+    perplexity=30, # not sure what param setting resulted in the plot
     n_jobs=28,
     random_state=42,
     verbose=True,