consolidated
alteration_degree_consolidateddit_posttrainv2_clare_dit_real_4_put_lego_into_drawer_filtered_consolidated_seed1000dit_posttrainv2_clare_dit_real_3_close_drawer_filtered_consolidated_seed1000dit_posttrainv2_clare_dit_cond_proj_real_2_put_moka_pot_filtered_consolidated_seed1000dit_posttrainv2_clare_dit_0_2_real_3_close_drawer_filtered_consolidated_seed1000dit_posttrainv2_clare_dit_0_2_real_4_put_lego_into_drawer_filtered_consolidated_seed1000qwen-maze-curriculum-v6-consolidateddit_posttrainv2_clare_dit_real_0_put_bowl_filtered_consolidated_seed1000
consolidated_receipt_dataset
Dataset Card for Consolidated Receipt Dataset
This is a FiftyOne dataset with 800 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/consolidated_receipt_dataset")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/consolidated_receipt_dataset.consolidated_receipt_dataset
Dataset Card for Consolidated Receipt Dataset
This is a FiftyOne dataset with 800 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/consolidated_receipt_dataset")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Zarov888/consolidated_receipt_dataset.speech-emotion-dataset-consolidatedconsolidated-datasets
Dataset Card for YouTubeTranscriptData
Dataset Details
Dataset Description
This dataset contains transcripts of around 167K youtube videos that include coding lectures, podcasts, interviews, news videos, commentary and song lyrics. Also there are multiple files that have been generated using webscrapping.
Curated by: Shivendra Singh
License: [none]
Dataset Sources
Repository: SmallLanguageModel
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/shivendrra/consolidated-datasets.i1-consolidated
MiniT2I Processed Mixtures
Processed image/caption subsets for MiniT2I training.
Each config contains train rows with image, captions, key, and source.
Load one subset with:
from datasets import load_dataset
ds = load_dataset("owner/repo", "pexels", split="train")
ds.us_baby_names_consolidated