update README

README.md

@@ -98,121 +98,19 @@ The dataset can be loaded using the Hugging Face Datasets library directly from
 from datasets import load_dataset
 
 # Load the flat dataset
-flat_dataset = load_dataset("mostlyaiprize", "flat")
+flat_dataset = load_dataset("mostlyai/mostlyaiprize", "flat", split="train")
 
 # Load the sequential dataset
-sequential_dataset = load_dataset("mostlyaiprize", "sequential")
-
-# Access the data
-flat_data = flat_dataset["train"]
-sequential_data = sequential_dataset["train"]
+sequential_dataset = load_dataset("mostlyai/mostlyaiprize", "sequential", split="train")
 ```
 
 ## Dataset Schema
 
-The schema for each dataset is as follows:
-
-### Flat Dataset Schema (80 columns)
-```python
-{
-    "dog": {"_type": "Value", "dtype": "int64"},
-    "cat": {"_type": "Value", "dtype": "string"},
-    "rabbit": {"_type": "Value", "dtype": "string"},
-    "deer": {"_type": "Value", "dtype": "float32"},
-    "panda": {"_type": "Value", "dtype": "int64"},
-    "koala": {"_type": "Value", "dtype": "string"},
-    "otter": {"_type": "Value", "dtype": "string"},
-    "hedgehog": {"_type": "Value", "dtype": "float32"},
-    "squirrel": {"_type": "Value", "dtype": "int64"},
-    "dolphin": {"_type": "Value", "dtype": "int64"},
-    "penguin": {"_type": "Value", "dtype": "float32"},
-    "turtle": {"_type": "Value", "dtype": "float32"},
-    "elephant": {"_type": "Value", "dtype": "string"},
-    "giraffe": {"_type": "Value", "dtype": "int64"},
-    "lamb": {"_type": "Value", "dtype": "string"},
-    "goat": {"_type": "Value", "dtype": "string"},
-    "cow": {"_type": "Value", "dtype": "string"},
-    "horse": {"_type": "Value", "dtype": "string"},
-    "donkey": {"_type": "Value", "dtype": "string"},
-    "pony": {"_type": "Value", "dtype": "int64"},
-    "llama": {"_type": "Value", "dtype": "string"},
-    "mouse": {"_type": "Value", "dtype": "string"},
-    "hamster": {"_type": "Value", "dtype": "string"},
-    "guinea": {"_type": "Value", "dtype": "int64"},
-    "duck": {"_type": "Value", "dtype": "string"},
-    "chicken": {"_type": "Value", "dtype": "float32"},
-    "sparrow": {"_type": "Value", "dtype": "int64"},
-    "parrot": {"_type": "Value", "dtype": "int64"},
-    "finch": {"_type": "Value", "dtype": "int64"},
-    "canary": {"_type": "Value", "dtype": "int64"},
-    "bee": {"_type": "Value", "dtype": "float32"},
-    "butterfly": {"_type": "Value", "dtype": "string"},
-    "ladybug": {"_type": "Value", "dtype": "int64"},
-    "snail": {"_type": "Value", "dtype": "float32"},
-    "frog": {"_type": "Value", "dtype": "int64"},
-    "cricket": {"_type": "Value", "dtype": "int64"},
-    "tamarin": {"_type": "Value", "dtype": "string"},
-    "wallaby": {"_type": "Value", "dtype": "string"},
-    "wombat": {"_type": "Value", "dtype": "int64"},
-    "zebra": {"_type": "Value", "dtype": "int64"},
-    "flamingo": {"_type": "Value", "dtype": "float32"},
-    "peacock": {"_type": "Value", "dtype": "int64"},
-    "bat": {"_type": "Value", "dtype": "int64"},
-    "fox": {"_type": "Value", "dtype": "int64"},
-    "beaver": {"_type": "Value", "dtype": "int64"},
-    "monkey": {"_type": "Value", "dtype": "int64"},
-    "seal": {"_type": "Value", "dtype": "int64"},
-    "robin": {"_type": "Value", "dtype": "int64"},
-    "loon": {"_type": "Value", "dtype": "string"},
-    "swan": {"_type": "Value", "dtype": "int64"},
-    "goldfish": {"_type": "Value", "dtype": "int64"},
-    "minnow": {"_type": "Value", "dtype": "string"},
-    "mole": {"_type": "Value", "dtype": "float32"},
-    "shrew": {"_type": "Value", "dtype": "int64"},
-    "puffin": {"_type": "Value", "dtype": "float32"},
-    "owl": {"_type": "Value", "dtype": "int64"},
-    "bunny": {"_type": "Value", "dtype": "int64"},
-    "bear": {"_type": "Value", "dtype": "int64"},
-    "chipmunk": {"_type": "Value", "dtype": "int64"},
-    "cub": {"_type": "Value", "dtype": "string"},
-    "acorn": {"_type": "Value", "dtype": "float32"},
-    "leaf": {"_type": "Value", "dtype": "string"},
-    "cloud": {"_type": "Value", "dtype": "float32"},
-    "rainbow": {"_type": "Value", "dtype": "int64"},
-    "puddle": {"_type": "Value", "dtype": "string"},
-    "berry": {"_type": "Value", "dtype": "float32"},
-    "apple": {"_type": "Value", "dtype": "int64"},
-    "honey": {"_type": "Value", "dtype": "int64"},
-    "pumpkin": {"_type": "Value", "dtype": "string"},
-    "teddy": {"_type": "Value", "dtype": "string"},
-    "blanket": {"_type": "Value", "dtype": "string"},
-    "button": {"_type": "Value", "dtype": "string"},
-    "whistle": {"_type": "Value", "dtype": "float32"},
-    "marble": {"_type": "Value", "dtype": "int64"},
-    "wagon": {"_type": "Value", "dtype": "string"},
-    "storybook": {"_type": "Value", "dtype": "string"},
-    "candle": {"_type": "Value", "dtype": "float32"},
-    "clover": {"_type": "Value", "dtype": "float32"},
-    "bubble": {"_type": "Value", "dtype": "int64"},
-    "cookie": {"_type": "Value", "dtype": "string"}
-}
-```
+The schema of each dataset can be retrieved as follows from the `datasets.Dataset` object:
 
-### Sequential Dataset Schema (11 columns)
 ```python
-{
-    "group_id": {"_type": "Value", "dtype": "string"},
-    "alice": {"_type": "Value", "dtype": "string"},
-    "david": {"_type": "Value", "dtype": "float32"},
-    "emily": {"_type": "Value", "dtype": "string"},
-    "jacob": {"_type": "Value", "dtype": "string"},
-    "james": {"_type": "Value", "dtype": "float32"},
-    "john": {"_type": "Value", "dtype": "string"},
-    "mike": {"_type": "Value", "dtype": "int64"},
-    "lucas": {"_type": "Value", "dtype": "float32"},
-    "mary": {"_type": "Value", "dtype": "float32"},
-    "sarah": {"_type": "Value", "dtype": "float32"}
-}
+print(flat_dataset.features)
+print(sequential_dataset.features)
 ```
 
 ## Citation