LIL Lab

nlvr

Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.

newsroom

Tools for downloading and analyzing summaries and evaluating summarization systems. https://summari.es/

spf

Cornell Semantic Parsing Framework

touchdown

Cornell Touchdown natural language navigation and spatial reasoning dataset.

kilogram

The KiloGram Tangrams dataset

atis

chalet

Cornell House Agent Learning Environment

ciff

Cornell Instruction Following Framework

drif

Dynamic Robot Instruction Following

cerealbar

Cereal Bar is a two-player web game designed for studying language understanding agents in collaborative interactions. This repository contains code for the game, a webapp hosting the game, the agent implementation, and recorded interactions in the game. http://lil.nlp.cornell.edu/cerealbar/

amr

Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015)

bandit-qa

Code for Simulating Bandit Learning from User Feedback for Extractive Question Answering.

cb2

An NLP research and data collection platform.

vgnsl_analysis

"What is Learned in Visually Grounded Neural Syntax Acquisition", Noriyuki Kojima, Hadar Averbuch-Elor, Alexander Rush and Yoav Artzi (ACL 2020)

qa-from-hf

scone

lilgym

lilGym RL benchmark

recnet

A human-driven recommendation system for academic readings.

cerealbar_generation

geoquery-corpus

The GeoQuery corpus

kilogram-annotation-task

Task website for collecting tangram annotations from MTurk.

lilgym-baselines

phrase_grounding

remote-teaching-setup

Remote teaching and talk recording setup

transformers-lmgen

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

clif_cb

Continual learning for instruction following in CerealBar.

CB-analysis

hlsm

hlsm-1

peer-eval