tagging
Datasets
All datasets matching “tagging”SLT-Task2-Post-ASR-Speaker-Tagging
Dataset Name: Dataset for ASR Speaker-Tagging Corrections (Speaker Diarization)
Description
This dataset is pairs of erroneous ASR output and speaker tagging, which are generated from a ASR system and speaker diarization system.
Each source erroneous transcription is paired with human-annotated transcription, which has correct transcription and speaker tagging.
SEGment-wise Long-form Speech Transcription annotation (SegLST), the file format used in the CHiME challenges… See the full description on the dataset page: https://huggingface.co/datasets/GenSEC-LLM/SLT-Task2-Post-ASR-Speaker-Tagging.anime-tagging-datasetpos_tagging
POS Tagging Dataset
Original Data Source
Conll2003
E. F. Tjong Kim Sang and F. De Meulder, Proceedings of the
Seventh Conference on Natural Language Learning at HLT-
NAACL 2003, 2003, pp. 142–147.
The Peen Treebank
M. P. Marcus, B. Santorini and M. A. Marcinkiewicz, Comput.
Linguist., 1993, 19, 313–330.
Citation
BatteryDataExtractor: battery-aware text-mining software embedded with BERT models
top_tagging
Dataset Card for Top Quark Tagging
Dataset Summary
Top Quark Tagging is a dataset of Monte Carlo simulated events produced by proton-proton collisions at the Large Hadron Collider. The top-quark signal and mixed quark-gluon background jets are produced with Pythia8 with its default tune for a center-of-mass energy of 14 TeV. Multiple interactions and pile-up are ignored. The leading 200 jet constituent four-momenta (E,px,py,pz) (E, p_x, p_y, p_z) (E,px,py,pz)are stored… See the full description on the dataset page: https://huggingface.co/datasets/dl4phys/top_tagging.qg-tagging-normalized
Dataset Card for "qg-tagging-normalized"
More Information needed
task583_udeps_eng_coarse_pos_tagging
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task583_udeps_eng_coarse_pos_tagging
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task583_udeps_eng_coarse_pos_tagging.