Correct scripts

README.md

@@ -11,9 +11,9 @@ To reproduce this run, first call `get_ctc_tokenizer.py` to train the CTC tokeni
 ```python 
 #!/usr/bin/env bash
 python run_flax_speech_recognition_ctc.py \
-        --model_name_or_path="esc/wav2vec2-pretrained" \
+        --model_name_or_path="esc-benchmark/wav2vec2-pretrained" \
         --tokenizer_name="wav2vec2-ctc-earnings22-tokenizer" \
-        --dataset_name="esc/esc-datasets" \
+        --dataset_name="esc-benchmark/esc-datasets" \
         --dataset_config_name="earnings22" \
         --output_dir="./" \
         --wandb_project="wav2vec2-ctc" \

get_ctc_tokenizer.py

@@ -19,7 +19,7 @@ tokenizer_name = f"wav2vec2-ctc-{dataset_name}-tokenizer"
 cutoff_freq = 0.01
 
 dataset = load_dataset(
-    "esc/esc-datasets",
+    "esc-benchmark/esc-datasets",
     dataset_name,
     split=split,
     use_auth_token=use_auth_token,

run_earnings22.sh

@@ -1,8 +1,8 @@
 #!/usr/bin/env bash
 python run_flax_speech_recognition_ctc.py \
-        --model_name_or_path="esc/wav2vec2-pretrained" \
+        --model_name_or_path="esc-benchmark/wav2vec2-pretrained" \
         --tokenizer_name="wav2vec2-ctc-earnings22-tokenizer" \
-        --dataset_name="esc/esc-datasets" \
+        --dataset_name="esc-benchmark/esc-datasets" \
         --dataset_config_name="earnings22" \
         --output_dir="./" \
         --wandb_project="wav2vec2-ctc" \