text-generation
cofeg_-_Finetuned-Xunzi-Qwen2-1.5B-for-ancient-text-generation-ggufBabitak18_-_gita-text-generation-gpt2-ggufchinmoydey_-_gita-text-generation-gpt2-ggufjimzp_-_gita-text-generation-gpt2-ggufmanojjagatap_-_gita-text-generation-gpt2-ggufnaveenkumarCH-gita-text-generation-gpt2-GGUF-smashedsravankumarmsb_-_gita-text-generation-gpt2-ggufSantoshGollapudi_-_gita-text-generation-gpt2-gguf
STAGE_Text_Generation
STAGE: Text Generation
code/ — LoRA-bank construction on Qwen3-1.7B, the conditional flow-matching generator, and the evaluation scripts
(see code/README.md). Data (pools, task lists, test-task target LoRAs) will be added under data/.
STAGE_Text_Generation_archivetext-code-galeras-code-generation-from-docstring-3k-dedupedsft-ready-Text-Generation-Augmented-DataData-to-text-GenerationThis is the data-to-text generation datasets collected by TextBox, including:
WebNLG v2.1 (webnlg)
WebNLG v3.0 (webnlg2)
WikiBio (wikibio)
E2E (e2e)
DART (dart)
ToTTo (totto)
ENT-DESC (ent)
AGENDA (agenda)
GenWiki (genwiki)
TEKGEN (tekgen)
LogicNLG (logicnlg)
WikiTableT (wikit)
WEATHERGOV (wg).
The detail and leaderboard of each dataset can be found in TextBox page.
task1409_dart_text_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1409_dart_text_generation
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/task1409_dart_text_generation.