datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
realman_toydispicker-toyVQAv2_TOYCoco2017_dethanything_512I cropped the Coco 2017 dataset to 512 and created a depth image with DepthAnything v2.
https://cocodataset.org/#download
scCLIP_toy_datasetmarkuplm-toy-datasetNatural_Questions_HTML_ToyToyota_Auto_Receivables_2022_C_Owner_Trust_1933877
Toyota Auto Receivables 2022-C Owner Trust
SEC ABS-EE asset-level filings for CIK 1933877 (Toyota Auto Receivables 2022-C Owner Trust).
Filings: 48
Parquet files: 1
Total size: 1.4 MB
Reporting period start: 2022-06-30
Reporting period end: 2026-02-28
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/Toyota_Auto_Receivables_2022_C_Owner_Trust_1933877.Toyota_Auto_Receivables_2018_A_Owner_Trust_1725585
Toyota Auto Receivables 2018-A Owner Trust
SEC ABS-EE asset-level filings for CIK 1725585 (Toyota Auto Receivables 2018-A Owner Trust).
Filings: 50
Parquet files: 190
Total size: 475.6 MB
Reporting period start: 2017-12-31
Reporting period end: 2022-01-31
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/Toyota_Auto_Receivables_2018_A_Owner_Trust_1725585.Toyota_Auto_Receivables_2021_C_Owner_Trust_1878610
Toyota Auto Receivables 2021-C Owner Trust
SEC ABS-EE asset-level filings for CIK 1878610 (Toyota Auto Receivables 2021-C Owner Trust).
Filings: 52
Parquet files: 99
Total size: 231.0 MB
Reporting period start: 2021-08-31
Reporting period end: 2025-10-31
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/Toyota_Auto_Receivables_2021_C_Owner_Trust_1878610.TOYOTA_AUTO_FINANCE_RECEIVABLES_LLC_1131131
cik
form
accessionNumber
fileNumber
filmNumber
reportDate
url
1131131
ABS-EE
0000950131-17-000068
333-205778
17641407
2017-01-31
https://sec.gov/Archives/edgar/data/1131131/000095013117000068
1131131
ABS-EE
0000950131-17-000147
333-205778
17780534
2017-03-31
https://sec.gov/Archives/edgar/data/1131131/000095013117000147
1131131
ABS-EE
0000950131-17-000183
333-205778
17802988
2017-03-31
https://sec.gov/Archives/edgar/data/1131131/000095013117000183
1131131
ABS-EE… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/TOYOTA_AUTO_FINANCE_RECEIVABLES_LLC_1131131.naija_englishturkish-offensive-language-detection
Dataset Summary
This dataset is enhanced version of existing offensive language studies. Existing studies are highly imbalanced, and solving this problem is too costly. To solve this, we proposed contextual data mining method for dataset augmentation. Our method is basically prevent us from retrieving random tweets and label individually. We can directly access almost exact hate related tweets and label them directly without any further human interaction in order to solve imbalanced… See the full description on the dataset page: https://huggingface.co/datasets/Toygar/turkish-offensive-language-detection.toy-car-annotation-YOLOHey everyone,
In my final year project, I created Smart Traffic Management System.The project was to manage traffic lights' delays based on the number of vehicles on road.I made everything worked using Raspberry Pi and pre-recorded videos but it was a "final year project", it was needed to be tested by changing videos frequently which was a kind of hustle. Collecting tons of videos and loading them in Pi was not too hard but it would have cost time, by every time changing names of videos in… See the full description on the dataset page: https://huggingface.co/datasets/tubasid/toy-car-annotation-YOLO.toylm_20240107Toyota_Auto_Receivables_2022_D_Owner_Trust_1946790
Toyota Auto Receivables 2022-D Owner Trust
SEC ABS-EE asset-level filings for CIK 1946790 (Toyota Auto Receivables 2022-D Owner Trust).
Filings: 45
Parquet files: 1
Total size: 1.7 MB
Reporting period start: 2022-09-30
Reporting period end: 2026-02-28
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/Toyota_Auto_Receivables_2022_D_Owner_Trust_1946790.SynthMoCap_smpl_512https://github.com/microsoft/SynthMoCap
Rendered the SynthMoCap dataset as smpl.
medical-qa-shared-task-v1-toy
Dataset Card for "medical-qa-shared-task-v1-toy"
More Information needed
soft-toy-wbcd-khlptoy_struc_datasettoy-multistep-v2-nn_20-na_10-nab_40-p_90-seed_0toy-models-of-sft-data
Toy Models of SFT Data
This is a public-clean candidate data package for the Toy Models of SFT project.
It is built for researcher inspection first.
The package answers two questions:
What were the models trained on?
How did the models actually behave under evaluation?
The package includes training data, eval inputs, model rollouts, judge scores,
parsed GPQA outputs, aggregate tables, paper figures, frozen plot data, and
provenance records. It deliberately includes some… See the full description on the dataset page: https://huggingface.co/datasets/matonski/toy-models-of-sft-data.Toyota_Auto_Receivables_2023_B_Owner_Trust_1973043
Toyota Auto Receivables 2023-B Owner Trust
SEC ABS-EE asset-level filings for CIK 1973043 (Toyota Auto Receivables 2023-B Owner Trust).
Filings: 39
Parquet files: 1
Total size: 1.9 MB
Reporting period start: 2023-04-30
Reporting period end: 2026-02-28
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/Toyota_Auto_Receivables_2023_B_Owner_Trust_1973043.Amazon_Toys_and_Games_2014
Amazon Toys & Games Dataset
Directory Structure
metadata: Contains product information.
reviews: Contains user reviews about the products.
filtered:
e5-base-v2_embeddings.jsonl: Contains "asin" and "embeddings" created with e5-base-v2.
metadata.jsonl: Contains "asin" and "text", where text is created from the title, description, brand, main category, and category.
reviews.jsonl: Contains "reviewerID", "reviewTime", and "asin". Reviews are filtered to include only… See the full description on the dataset page: https://huggingface.co/datasets/milistu/Amazon_Toys_and_Games_2014.alti-ig-steps-32-earlyl_647-filtered-103-03-28-long-toy-model-False-23-18-03Toyota_Auto_Receivables_2023_C_Owner_Trust_1984199
Toyota Auto Receivables 2023-C Owner Trust
SEC ABS-EE asset-level filings for CIK 1984199 (Toyota Auto Receivables 2023-C Owner Trust).
Filings: 36
Parquet files: 1
Total size: 2.0 MB
Reporting period start: 2023-06-30
Reporting period end: 2026-02-28
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/Toyota_Auto_Receivables_2023_C_Owner_Trust_1984199.LongLive2.0-Toy-Dataset
LongLive2.0 Toy Dataset
This dataset is a toy format-checking dataset for the LongLive2.0 release
code. It is intended to help users verify AR diffusion training, DMD
distillation, and prompt formatting before preparing a larger dataset.
Dataset placeholder:
https://huggingface.co/datasets/Efficient-Large-Model/LongLive2-Toy-Dataset
Expected Layout
The released toy dataset will contain two separate training folders:
ar_training/: paired video/caption data for AR… See the full description on the dataset page: https://huggingface.co/datasets/Efficient-Large-Model/LongLive2.0-Toy-Dataset.controlnet_3d_doll_50k_1024Toyota_Auto_Receivables_2024_A_Owner_Trust_2002262
Toyota Auto Receivables 2024-A Owner Trust
SEC ABS-EE asset-level filings for CIK 2002262 (Toyota Auto Receivables 2024-A Owner Trust).
Filings: 29
Parquet files: 1
Total size: 2.4 MB
Reporting period start: 2024-01-31
Reporting period end: 2026-02-28
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/Toyota_Auto_Receivables_2024_A_Owner_Trust_2002262.Toyota_Auto_Receivables_2023_D_Owner_Trust_1994222
Toyota Auto Receivables 2023-D Owner Trust
SEC ABS-EE asset-level filings for CIK 1994222 (Toyota Auto Receivables 2023-D Owner Trust).
Filings: 33
Parquet files: 1
Total size: 2.1 MB
Reporting period start: 2023-09-30
Reporting period end: 2026-02-28
Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as {accession_nodash}/{exhibit_name}.parquet. Reporting-period dates are derived from the asset-level XML (reportingPeriodEndingDate).… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/Toyota_Auto_Receivables_2023_D_Owner_Trust_1994222.