CoolFace
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ollie

OllieStanley /humaneval-mbpp-codegen-qa Dataset Card for "humaneval-mbpp-codegen-qa" This dataset contains prompt-reply (question-answer) pairs where the prompt is to create a Python function which satisfies the functionality described in a specified docstring. The responses are then the generated functions. textn<1K4 likes878 downloads4y agoHugging Faceknowitall /ollieThe Ollie dataset includes two configs for the data used to train the Ollie informatation extraction algorithm, for 18M sentences and 3M sentences respectively. This data is for academic use only. From the authors: Ollie is a program that automatically identifies and extracts binary relationships from English sentences. Ollie is designed for Web-scale information extraction, where target relations are not specified in advance. Ollie is our second-generation information extraction system . Whereas ReVerb operates on flat sequences of tokens, Ollie works with the tree-like (graph with only small cycles) representation using Stanford's compression of the dependencies. This allows Ollie to capture expression that ReVerb misses, such as long-range relations. Ollie also captures context that modifies a binary relation. Presently Ollie handles attribution (He said/she believes) and enabling conditions (if X then). More information is available at the Ollie homepage: https://knowitall.github.io/ollie/10M<n<100M0 likes143 downloads3y agoHugging FaceOllieStanley /humaneval-mbpp-testgen-qa Dataset Card for "humaneval-mbpp-testgen-qa" This dataset contains prompt-reply (question-answer) pairs where the prompt is to create a Python unit tests which tests for the functionality described in a specific docstring. The responses are then the generated unit tests. textn<1K0 likes79 downloads4y agoHugging FaceLots-of-LoRAs /task677_ollie_sentence_answer_generation Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task677_ollie_sentence_answer_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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task677_ollie_sentence_answer_generation.texttext-generation1K<n<10K0 likes18 downloads2y agoHugging Faceolliematthews /lasr-cv-evaltext10K<n<100K1 likes16 downloads2y agoHugging FaceOllieStanley /oa_cameltext100K<n<1M0 likes14 downloads3y agoHugging Face