unpaired
Datasets
All datasets matching “unpaired”oas-unpaired
OAS Unpaired
The OAS unpaired dataset Observed Antibody Space (OAS), available as parquet with content-defined chunking on HuggingFace.
Configs and Splits
This dataset exposes 91 configs:
Config
Splits
Description
default
heavy, light
All sequences, split by chain
heavy
train
All heavy chain sequences
light
train
All light chain sequences
{Author et al., YYYY}
heavy, light, or both
One author's sequences
from datasets import load_dataset
# All heavy… See the full description on the dataset page: https://huggingface.co/datasets/ConvergeBio/oas-unpaired.primevul_processed_dataset_unpairednutsquare-paired-auto-hard-unpaired-v1-s1-r16This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 128,
"total_frames": 70068,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 20,
"splits": {
"train": "0:128"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/nutsquare-paired-auto-hard-unpaired-v1-s1-r16.BLUGE-bengali-linguistic-acceptability-unpaired
BLUGE-BCLAU: Bangla Linguistic Acceptability (Unpaired)
BLUGE-BCLAU is a meticulously constructed Bangla Corpus of Linguistic Acceptability (Unpaired), one of the 7 tasks in BLUGE (Bengali Language UnderstandinG Evaluation), a balanced benchmark for evaluating Bengali natural language understanding. See the full BLUGE collection for all 7 tasks, and the B-CORE pretraining corpus and BnLM model suite released alongside it.
Dataset Description
This binary… See the full description on the dataset page: https://huggingface.co/datasets/nahid-hub/BLUGE-bengali-linguistic-acceptability-unpaired.nutsquare-paired-auto-hard-unpaired-v1-s2-r1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 150,
"total_frames": 87597,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 20,
"splits": {
"train": "0:150"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ankile/nutsquare-paired-auto-hard-unpaired-v1-s2-r1.ultrafeedback-binary-unpaired-preferencesDataset with binary labels for use in unpaired preference optimization, namely KTO, BCO, etc.
It was retrieved from https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences:Positive labels are chosen responses with an absolute score of 4.6 or above.Negative labels are rejected responses with an absolute score of 2.75 and below.
Note that this dataset is inbalanced with total counts:True: 40452False: 22794