matlok - Python Copilot Image Datasets
Collection
More extracted images on github: https://github.com/matlok-ai/python-copilot-image-and-audio-examples/tree/main/png
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stringlengths 38
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stringlengths 80
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int64 306k
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float64 0.29
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image.base.modeling_bert.BertForPreTraining.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertForPreTraining.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 316,864 | 0.3 | png | 0 |
image.base.modeling_bert.BertEncoder.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertEncoder.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 306,704 | 0.29 | png | 0 |
image.base.modeling_bert.BertLayer.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertLayer.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 306,718 | 0.29 | png | 0 |
image.base.modeling_bert.BertOutput.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertOutput.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 308,420 | 0.29 | png | 0 |
image.base.modeling_bert.BertIntermediate.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertIntermediate.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 311,694 | 0.3 | png | 0 |
image.base.modeling_bert.BertAttention.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertAttention.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 306,438 | 0.29 | png | 0 |
image.base.modeling_bert.BertForQuestionAnswering.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertForQuestionAnswering.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 326,387 | 0.31 | png | 0 |
image.base.modeling_bert.BertForTokenClassification.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertForTokenClassification.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 325,450 | 0.31 | png | 0 |
image.base.modeling_bert.BertForMultipleChoice.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertForMultipleChoice.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 321,376 | 0.31 | png | 0 |
image.base.modeling_bert.BertPredictionHeadTransform.png | transformers | transformers/src/transformers/models/bert/image.base.modeling_bert.BertPredictionHeadTransform.png | "iVBORw0KGgoAAAANSUhEUgAADawAAA2sCAYAAABMcmsfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCw(...TRUNCATED) | 322,717 | 0.31 | png | 0 |
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in Dataset Viewer.
Python Copilot Image Training using Inheritance and Polymorphism 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: 259017
- Size: 135.2 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-inheritance-knowledge-graphs", data_dir="files")
- Downloads last month
- 174
Size of downloaded dataset files:
25.1 MB
Size of the auto-converted Parquet files:
25.1 MB
Number of rows:
88