datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
autoencoder-paraphrase-dataset
Dataset Card for Machine Paraphrase Dataset (MPC)
Dataset Summary
The Autoencoder Paraphrase Corpus (APC) consists of ~200k examples of original, and paraphrases using three neural language models.
It uses three models (BERT, RoBERTa, Longformer) on three source texts (Wikipedia, arXiv, student theses).
The examples are aligned, i.e., we sample the same paragraphs for originals and paraphrased versions.
How to use it
You can load the dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/jpwahle/autoencoder-paraphrase-dataset.legal-ir-autoencoder-checkpoints
Legal IR Autoencoder Checkpoints
This dataset stores checkpoint artifacts for the legal text -> formal logic IR autoencoder/Codex optimization loop.
Latest checkpoint in this upload: checkpoints/20260630T221836Z/.
Contents
state/legal-ir-autoencoder-canonical.state.json: canonical feature-level autoencoder warm-start state.
reports/: weight review, deprecation manifest, and consensus feature manifests.
scripts/review_autoencoder_weight_runs.py: script used to… See the full description on the dataset page: https://huggingface.co/datasets/justicedao/legal-ir-autoencoder-checkpoints.