Datasets:

TESS-Computer
/

tess-atari-15hz-384-clean

Tasks:

Reinforcement Learning

Modalities:

Formats:

Size:

Tags:

vision-language-action

imitation-learning

Libraries:

License:

Dataset card Data Studio Files Files and versions

husseinxyzz commited on 14 days ago

Commit

a718190

·

verified ·

1 Parent(s): 5f62507

Update dataset or model card links

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -78,7 +78,7 @@ from PIL import Image
 from io import BytesIO
 # Load preprocessed dataset
-ds = load_dataset("TESS-Computer/tess-atari-15hz-384", split="train")
 # Images are already 384x384 - no resizing needed!
 sample = ds[0]
@@ -91,7 +91,7 @@ print(sample["action"])  # <|action_start|> LEFT ; LEFT ; LEFT <|action_end|>
 ```bash
 python scripts/train_v2.py \
-    --preprocessed TESS-Computer/tess-atari-15hz-384 \
     --epochs 3 \
     --batch-size 4 \
     --grad-accum 32 \

 from io import BytesIO
 # Load preprocessed dataset
+ds = load_dataset("TESS-Computer/tess-atari-15hz-384-clean", split="train")
 # Images are already 384x384 - no resizing needed!
 sample = ds[0]
 ```bash
 python scripts/train_v2.py \
+    --preprocessed TESS-Computer/tess-atari-15hz-384-clean \
     --epochs 3 \
     --batch-size 4 \
     --grad-accum 32 \