matlok/python-image-copilot-training-using-import-knowledge-graphs

1---2license:3- other4pretty_name: >-5  python copilot image training using import knowledge graphs6dataset_info:7- config_name: view_schema8  splits:9  - name: view_schema10configs:11- config_name: view_schema12  data_files:13  - split: view_schema14    path: files/lok-python-copilot-img.import-v1_00000780.parquet15size_categories:16- 100K<n<1M17tags:18- python-copilot19- python-coding20- python-architecture21- knowledge-graphs22- multimodal23- text-image-audio24- fine-tuning25- training26- question-answering27- image-knowledge-graph28- alpaca29- mp330- png31- text32- instruct33- import34- imports35# supported task_categories36# text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, conversational, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, other37task_categories:38- text-to-image39- image-to-image40- question-answering41# supported task_ids42# acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-generation, dialogue-modeling, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering43task_ids:44- parsing45---46 47## Python Copilot Image Training using Import Knowledge Graphs48 49This dataset is a subset of the matlok python copilot datasets. Please refer to the [Multimodal Python Copilot Training Overview](https://huggingface.co/datasets/matlok/multimodal-python-copilot-training-overview) for more details on how to use this dataset.50 51### Details52 53Each row contains a png file in the **dbytes** column.54 55- Rows: 21664256- Size: 211.2 GB57- Data type: png58- Format: Knowledge graph using NetworkX with alpaca text box59 60### Schema61 62The png is in the **dbytes** column:63 64```65{66    "dbytes": "binary",67    "dbytes_len": "int64",68    "dbytes_mb": "float64",69    "filename": "string",70    "path": "string",71    "repo": "string",72    "type": "string"73}74```75 76### How to use the dataset77 78```python79from datasets import load_dataset80 81ds = load_dataset("matlok/python-image-copilot-training-using-import-knowledge-graphs", data_dir="files")82```83 84