Datasets:
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,164 +1,33 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
- name: state
|
| 7 |
-
sequence: float64
|
| 8 |
-
- name: action
|
| 9 |
-
sequence: float64
|
| 10 |
-
- name: episode_index
|
| 11 |
-
dtype: int64
|
| 12 |
-
- name: frame_index
|
| 13 |
-
dtype: int64
|
| 14 |
-
- name: next_done
|
| 15 |
-
dtype: bool
|
| 16 |
-
- name: index
|
| 17 |
-
dtype: int64
|
| 18 |
-
splits:
|
| 19 |
-
- name: train_0
|
| 20 |
-
num_bytes: 27256566
|
| 21 |
-
num_examples: 1000
|
| 22 |
-
- name: train_1
|
| 23 |
-
num_bytes: 27270881
|
| 24 |
-
num_examples: 1000
|
| 25 |
-
- name: train_2
|
| 26 |
-
num_bytes: 27258677
|
| 27 |
-
num_examples: 1000
|
| 28 |
-
- name: train_3
|
| 29 |
-
num_bytes: 27262004
|
| 30 |
-
num_examples: 1000
|
| 31 |
-
- name: train_4
|
| 32 |
-
num_bytes: 27270347
|
| 33 |
-
num_examples: 1000
|
| 34 |
-
- name: train_5
|
| 35 |
-
num_bytes: 27261689
|
| 36 |
-
num_examples: 1000
|
| 37 |
-
- name: train_6
|
| 38 |
-
num_bytes: 27279800
|
| 39 |
-
num_examples: 1000
|
| 40 |
-
- name: train_7
|
| 41 |
-
num_bytes: 27262630
|
| 42 |
-
num_examples: 1000
|
| 43 |
-
- name: train_8
|
| 44 |
-
num_bytes: 27277091
|
| 45 |
-
num_examples: 1000
|
| 46 |
-
- name: train_9
|
| 47 |
-
num_bytes: 27274293
|
| 48 |
-
num_examples: 1000
|
| 49 |
-
- name: train_10
|
| 50 |
-
num_bytes: 27275374
|
| 51 |
-
num_examples: 1000
|
| 52 |
-
- name: train_11
|
| 53 |
-
num_bytes: 27272470
|
| 54 |
-
num_examples: 1000
|
| 55 |
-
- name: train_12
|
| 56 |
-
num_bytes: 27271034
|
| 57 |
-
num_examples: 1000
|
| 58 |
-
- name: train_13
|
| 59 |
-
num_bytes: 27247351
|
| 60 |
-
num_examples: 1000
|
| 61 |
-
- name: train_14
|
| 62 |
-
num_bytes: 27281692
|
| 63 |
-
num_examples: 1000
|
| 64 |
-
- name: train_15
|
| 65 |
-
num_bytes: 27262626
|
| 66 |
-
num_examples: 1000
|
| 67 |
-
- name: train_16
|
| 68 |
-
num_bytes: 27264461
|
| 69 |
-
num_examples: 1000
|
| 70 |
-
- name: train_17
|
| 71 |
-
num_bytes: 27271734
|
| 72 |
-
num_examples: 1000
|
| 73 |
-
- name: train_18
|
| 74 |
-
num_bytes: 27263548
|
| 75 |
-
num_examples: 1000
|
| 76 |
-
- name: train_19
|
| 77 |
-
num_bytes: 27277298
|
| 78 |
-
num_examples: 1000
|
| 79 |
-
- name: train_20
|
| 80 |
-
num_bytes: 27257987
|
| 81 |
-
num_examples: 1000
|
| 82 |
-
- name: train_21
|
| 83 |
-
num_bytes: 27270261
|
| 84 |
-
num_examples: 1000
|
| 85 |
-
- name: train_22
|
| 86 |
-
num_bytes: 27266544
|
| 87 |
-
num_examples: 1000
|
| 88 |
-
- name: train_23
|
| 89 |
-
num_bytes: 27267454
|
| 90 |
-
num_examples: 1000
|
| 91 |
-
- name: train_24
|
| 92 |
-
num_bytes: 27266550
|
| 93 |
-
num_examples: 1000
|
| 94 |
-
- name: train_25
|
| 95 |
-
num_bytes: 27276345
|
| 96 |
-
num_examples: 1000
|
| 97 |
-
- name: train_26
|
| 98 |
-
num_bytes: 27268930
|
| 99 |
-
num_examples: 1000
|
| 100 |
-
- name: train_27
|
| 101 |
-
num_bytes: 21135568
|
| 102 |
-
num_examples: 775
|
| 103 |
-
download_size: 260896218
|
| 104 |
-
dataset_size: 757371205
|
| 105 |
-
configs:
|
| 106 |
-
- config_name: default
|
| 107 |
-
data_files:
|
| 108 |
-
- split: train_0
|
| 109 |
-
path: data/train_0-*
|
| 110 |
-
- split: train_1
|
| 111 |
-
path: data/train_1-*
|
| 112 |
-
- split: train_2
|
| 113 |
-
path: data/train_2-*
|
| 114 |
-
- split: train_3
|
| 115 |
-
path: data/train_3-*
|
| 116 |
-
- split: train_4
|
| 117 |
-
path: data/train_4-*
|
| 118 |
-
- split: train_5
|
| 119 |
-
path: data/train_5-*
|
| 120 |
-
- split: train_6
|
| 121 |
-
path: data/train_6-*
|
| 122 |
-
- split: train_7
|
| 123 |
-
path: data/train_7-*
|
| 124 |
-
- split: train_8
|
| 125 |
-
path: data/train_8-*
|
| 126 |
-
- split: train_9
|
| 127 |
-
path: data/train_9-*
|
| 128 |
-
- split: train_10
|
| 129 |
-
path: data/train_10-*
|
| 130 |
-
- split: train_11
|
| 131 |
-
path: data/train_11-*
|
| 132 |
-
- split: train_12
|
| 133 |
-
path: data/train_12-*
|
| 134 |
-
- split: train_13
|
| 135 |
-
path: data/train_13-*
|
| 136 |
-
- split: train_14
|
| 137 |
-
path: data/train_14-*
|
| 138 |
-
- split: train_15
|
| 139 |
-
path: data/train_15-*
|
| 140 |
-
- split: train_16
|
| 141 |
-
path: data/train_16-*
|
| 142 |
-
- split: train_17
|
| 143 |
-
path: data/train_17-*
|
| 144 |
-
- split: train_18
|
| 145 |
-
path: data/train_18-*
|
| 146 |
-
- split: train_19
|
| 147 |
-
path: data/train_19-*
|
| 148 |
-
- split: train_20
|
| 149 |
-
path: data/train_20-*
|
| 150 |
-
- split: train_21
|
| 151 |
-
path: data/train_21-*
|
| 152 |
-
- split: train_22
|
| 153 |
-
path: data/train_22-*
|
| 154 |
-
- split: train_23
|
| 155 |
-
path: data/train_23-*
|
| 156 |
-
- split: train_24
|
| 157 |
-
path: data/train_24-*
|
| 158 |
-
- split: train_25
|
| 159 |
-
path: data/train_25-*
|
| 160 |
-
- split: train_26
|
| 161 |
-
path: data/train_26-*
|
| 162 |
-
- split: train_27
|
| 163 |
-
path: data/train_27-*
|
| 164 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
license: mit
|
| 3 |
+
task_categories:
|
| 4 |
+
- reinforcement-learning
|
| 5 |
+
- robotics
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
---
|
| 7 |
+
|
| 8 |
+
# Dataset Card for Sagar18/ball-maze-images
|
| 9 |
+
|
| 10 |
+
This dataset contains visual observations of a ball maze environment, derived from the original state-space dataset at `notmahi/tutorial-ball-top-20`.
|
| 11 |
+
|
| 12 |
+
## Dataset Description
|
| 13 |
+
|
| 14 |
+
- **Features**:
|
| 15 |
+
- `image`: JPEG-encoded RGB images showing the ball maze environment
|
| 16 |
+
- `state`: Original state vector [x, y, dx, dy] representing ball position and velocity
|
| 17 |
+
- `action`: Actions taken in the environment
|
| 18 |
+
- `episode_index`: Index of the episode
|
| 19 |
+
- `frame_index`: Frame number within the episode
|
| 20 |
+
- `next_done`: Whether the frame is terminal
|
| 21 |
+
- `index`: Global index in the dataset
|
| 22 |
+
|
| 23 |
+
## Usage
|
| 24 |
+
```python
|
| 25 |
+
from datasets import load_dataset
|
| 26 |
+
|
| 27 |
+
# Load the dataset
|
| 28 |
+
dataset = load_dataset("Sagar18/ball-maze-images")
|
| 29 |
+
|
| 30 |
+
# Access images (they will be automatically decoded)
|
| 31 |
+
image = dataset[0]["image"]
|
| 32 |
+
state = dataset[0]["state"]
|
| 33 |
+
```
|