datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
code_x_glue_cc_cloze_testing_all
Dataset Card for "code_x_glue_cc_cloze_testing_all"
Dataset Summary
CodeXGLUE ClozeTesting-all dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-all
Cloze tests are widely adopted in Natural Languages Processing to evaluate the performance of the trained language models. The task is aimed to predict the answers for the blank with the context of the blank, which can be formulated as a multi-choice classification problem.
Here we… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_cc_cloze_testing_all.code_x_glue_cc_cloze_testing_maxmin
Dataset Card for "code_x_glue_cc_cloze_testing_maxmin"
Dataset Summary
CodeXGLUE ClozeTesting-maxmin dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin
Cloze tests are widely adopted in Natural Languages Processing to evaluate the performance of the trained language models. The task is aimed to predict the answers for the blank with the context of the blank, which can be formulated as a multi-choice classification problem.… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_cc_cloze_testing_maxmin.rocstories-cloze
ROCStories & Story Cloze Test Dataset
This dataset contains the ROCStories corpus and the Story Cloze Test evaluation sets, originally released by the Story Cloze Test team at the University of Rochester.
task105_story_cloze-rocstories_sentence_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task105_story_cloze-rocstories_sentence_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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task105_story_cloze-rocstories_sentence_generation.xstory-cloze-ftp
XStoryCloze-FTP
A first-token-prediction (FTP) reframing of juletxara/xstory_cloze.
Each example is a single text sequence ending in Answer： (fullwidth U+FF1A, no trailing space) so a model can predict the answer as one token. Format matches lm-evaluation-harness's MCQA template byte-for-byte.
Format
Example (en):
<sentence 1>
<sentence 2>
<sentence 3>
<sentence 4>
A: <ending 1>
B: <ending 2>
Answer：
Schema: question_id: int, text: str, answer_label: str (one of… See the full description on the dataset page: https://huggingface.co/datasets/mikaberidze/xstory-cloze-ftp.morphbench-verb-cloze
MorphBench — contextual verb-inflection cloze (EN / DE / FR)
A verb in a natural sentence is replaced by the marker [x]. The prompt
gives the lemma and a partial feature bundle; the sentence supplies
exactly the missing dimension. The model generates the surface form.
prompt : cloze lemma=<L> context=<sentence with [x]> feats=<partial feats> ->
gold : the inflected surface form
The benchmark exists to test whether a morphology-aware tokenizer helps a
small LM inflect words it… See the full description on the dataset page: https://huggingface.co/datasets/yuanxin112/morphbench-verb-cloze.Cloze-SSH
SSH Cloze Benchmark
A Cloze-style benchmark for evaluating language models on Social Sciences and Humanities (SSH) text understanding. The benchmark measures whether a model can choose between two equivalent candidate tokens (e.g. higher vs. lower, positive vs. negative) in the context of an academic abstract, where the correct choice requires domain knowledge rather than general English fluency.
This dataset was introduced in the technical report SHARE: Social-Humanities AI for… See the full description on the dataset page: https://huggingface.co/datasets/Joaoffg/Cloze-SSH.