filename
stringlengths 39
88
| repo
stringclasses 1
value | path
stringlengths 119
182
| dbytes
unknown | dbytes_len
int64 387k
3.89M
| dbytes_mb
float64 0.37
3.71
| type
stringclasses 1
value | __index_level_0__
int64 0
0
|
|---|---|---|---|---|---|---|---|
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerRelPositionalEmbedding.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 482,682 | 0.46 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerFeatureEncoder.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 469,567 | 0.45 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerForXVector.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADnQAAA50CAYAAABW00Z8AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 612,987 | 0.58 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerForAudioFrameClassification.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 542,467 | 0.52 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerSelfAttention.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 562,799 | 0.54 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerGroupNormConvLayer.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 450,121 | 0.43 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerFeedForward.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 433,633 | 0.41 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerFeatureProjection.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 445,248 | 0.42 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerEncoder.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 440,104 | 0.42 | png | 0 |
image.class.modeling_wav2vec2_conformer.Wav2Vec2ConformerEncoderLayer.png | H2O | "H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/wav2vec2_conformer/image(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAADOQAAAzkCAYAAABF7XA+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiw(...TRUNCATED) | 448,472 | 0.43 | png | 0 |
End of preview. Expand
in Dataset Viewer.
Python Copilot Image Training using Class Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains a png file in the dbytes column.
- Rows: 312277
- Size: 304.3 GB
- Data type: png
- Format: Knowledge graph using NetworkX with alpaca text box
Schema
The png is in the dbytes column:
{
"dbytes": "binary",
"dbytes_len": "int64",
"dbytes_mb": "float64",
"filename": "string",
"path": "string",
"repo": "string",
"type": "string"
}
How to use the dataset
from datasets import load_dataset
ds = load_dataset("matlok/python-image-copilot-training-using-class-knowledge-graphs", data_dir="files")
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