datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Batik-Indonesia
Dataset Card for Batik-Indonesia
Dataset Details
Dataset Description
The Batik-Indonesia dataset is a curated collection of batik designs from various regions across Indonesia. Batik is an ancient textile art form that utilizes a wax-resist dyeing technique, resulting in intricate patterns and motifs that reflect cultural identities and traditions. This dataset provides 2599 distinct files per style, making it an invaluable resource for artists, designers, and… See the full description on the dataset page: https://huggingface.co/datasets/muhammadsalmanalfaridzi/Batik-Indonesia.batik-20motif-datasetBATIS
license: cc-by-nc-4.0
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
This repository contains the dataset used in experiments shown in BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models. To download the dataset, you can use the load_dataset function from HuggingFace. For example :
from datasets import load_dataset
# Training Split for Kenya
training_kenya = load_dataset("cathv/BATIS", name="Kenya"… See the full description on the dataset page: https://huggingface.co/datasets/cathv/BATIS.batikbdnb_2023-11.a_batiment_construction_FFO_METROPOLE_4326batik-expert-sampleAPRIL
APRIL Dataset
Paper
Model & Dataset Download
Resource
Description
Link
APRIL Dataset
260K Lean proof-repair tuples with compiler diagnostics and explanations
uw-math-ai/APRIL
gAPRIL-w-exp
Goedel-8B finetuned on APRIL with joint explanation supervision
uw-math-ai/gAPRIL-w-exp
gAPRIL-wo-exp
Goedel-8B finetuned on APRIL for repair only (no explanations)
uw-math-ai/gAPRIL-wo-exp
Dataset Description
The APRIL dataset contains 258,103 examples of… See the full description on the dataset page: https://huggingface.co/datasets/batianxieshen/APRIL.batik-processedBatik-Indonesia
Dataset Card for Batik-Indonesia
Dataset Details
Dataset Description
The Batik-Indonesia dataset is a curated collection of batik designs from various regions across Indonesia. Batik is an ancient textile art form that utilizes a wax-resist dyeing technique, resulting in intricate patterns and motifs that reflect cultural identities and traditions. This dataset provides 2599 distinct files per style, making it an invaluable resource for artists, designers, and… See the full description on the dataset page: https://huggingface.co/datasets/dimasraditya/Batik-Indonesia.bdnb_2023-11.a_rel_batiment_groupe_bdtopo_zoa_39bdnb_2023-11.a_batiment_construction_FFO_MET_4326_outer_join_h3bdnb_2023-11.a_batiment_groupe_argiles_29dataset-batik-trl-sft
Dataset Batik TRL-SFT
Dataset percakapan berformat SFT (Supervised Fine-Tuning) untuk melatih model bahasa sebagai asisten pakar budaya Batik Nusantara. Digunakan untuk fine-tuning model Wastra.ai (berbasis Qwen2.5-1.5B-Instruct) pada proyek BatikLens.
Dataset Description
Dataset ini berisi lebih dari 3 juta contoh percakapan seputar batik Indonesia, mencakup topik:
Sejarah dan asal-usul batik di berbagai daerah
Filosofi dan makna motif batik (Parang, Kawung… See the full description on the dataset page: https://huggingface.co/datasets/maftuh-main/dataset-batik-trl-sft.ferroelectricity_and_metallicity_in_BaTiO3_JMCC2021
Cite this dataset Michel, V. F., Esswein, T., and Spaldin, N. A. ferroelectricity and metallicity in BaTiO3 JMCC2021. ColabFit, 2024. https://doi.org/10.60732/9abdf618
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_1t2xs8bzygtp_0
Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/ferroelectricity_and_metallicity_in_BaTiO3_JMCC2021.bdnb_2023-11.a_batiment_groupe_adresse_01bdnb_2023-11.a_rel_batiment_groupe_bdtopo_bat_01bdnb_2023-11.a_batiment_groupe_rnc_12bdnb_2023-11.a_batiment_groupe_geospx_69bdnb_2023-11.a_rel_batiment_groupe_qpv_79bdnb_2023-11.a_rel_batiment_groupe_bpe_59bdnb_2023-11.a_batiment_groupe_rnc_59bdnb_2023-11.a_batiment_groupe_dle_elec_multimillesime_39batik-samplesbdnb_2023-11.a_rel_batiment_groupe_parcelle_01bdnb_2023-11.a_batiment_groupe_merimee_66bdnb_2023-11.a_rel_batiment_groupe_merimee_59BATIS
license: cc-by-nc-4.0
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
This repository contains the dataset used in experiments shown in BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models. To download the dataset, you can use the load_dataset function from HuggingFace. For example :
from datasets import load_dataset
# Training Split for Kenya
training_kenya = load_dataset("anonsubmit/BATIS", name="Kenya"… See the full description on the dataset page: https://huggingface.co/datasets/anonsubmit/BATIS.bdnb_2023-11.a_rel_batiment_groupe_dpe_logement_01bdnb_2023-11.a_rel_batiment_construction_rnb_01bdnb_2023-11.a_batiment_groupe_bdtopo_bat_METROPOLE