constrained
wmt26-constrained-submissionconstrained-beam-searchGRS-Constrained-Paraphrasing-BartConstrained-Track-Sentence-Bassline-Readability-Arabertv2-d3tok-regexp-syh-r2egym-askllm-constrained_glm_4_7_traces_jupiter_cleanedCLIP-ViT-L-rho50-k1-constrained-FARE2OpenCLIP-ViT-H-rho50-k1-constrained-FARE2noice_bias_25_constrained
breaking-bad-volume-constrained
Breaking Bad Volume-Constrained
61,887 fracture assemblies from 696 source objects,
with 265,092 embedded fragment meshes. This release contains the official
volume-constrained everyday and artifact subsets. It is separate from the
original Breaking Bad version and does not include other or GARF point clouds.
from datasets import load_dataset
objects = load_dataset("AssemblyWorld/breaking-bad-volume-constrained", split="all")
sample = objects[0]
parts = sample["parts"]
Pin… See the full description on the dataset page: https://huggingface.co/datasets/AssemblyWorld/breaking-bad-volume-constrained.Ordering_ConstrainedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/justintiensmith/Ordering_Constrained.scaling-data-constrained-llms
Scaling Data-Constrained Language Models with Synthetic Data
This repository provides the pre-training corpora used in Scaling Data-Constrained Language Models with Synthetic Data (Findings of EACL 2026).
Overview
This repository contains multiple corpora designed to study data augmentation strategies for pre-training Japanese LLMs under a data-constrained data setting.
Starting from a limited Japanese Web corpus and a larger English Web corpus, we construct three… See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/scaling-data-constrained-llms.Ordering_Constrained_No_DepthThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/justintiensmith/Ordering_Constrained_No_Depth.Ordering_Constrained_ParaphrasesThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/justintiensmith/Ordering_Constrained_Paraphrases.Constrained-IR-Benchmark
Constrained-IR-Benchmark
10-domain retrieval test set. Each domain is a separate config with a test split.
Domains
config
samples
business_selection
25
company
25
course_selection
25
drug
25
enterprise_collaboration
25
phone
25
rental_house
25
restaurant
25
resume
25
vector_database
25
Load
from datasets import load_dataset
# 单个 domain
ds = load_dataset("WangSenQWQ/Constrained-IR-Benchmark", "phone", split="test")… See the full description on the dataset page: https://huggingface.co/datasets/WangSenQWQ/Constrained-IR-Benchmark.