endpoints
dordonezc_-_Phi-3-mini-128k-instruct-4-endpoints-ggufendpointsDetectModel_llama3falcon-40b-instruct-GPTQ-inference-endpointsPhi-3-mini-128k-instruct-4-endpointsstable-diffusion-v1-4-endpointsPhi-3-mini-4k-instruct-4-endpointsLlama-3.2-1B-Instruct-AI-Endpointsfinetuned-endpoints_classif_test-4_13_1246
exodus-endpointsdataset-viber-image-generation-preference-inference-endpoints-battle-flux
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Dataset Details
Dataset Description
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Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/davidberenstein1957/dataset-viber-image-generation-preference-inference-endpoints-battle-flux.dataset-viber-chat-generation-preference-inference-endpoints-battle
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Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/davidberenstein1957/dataset-viber-chat-generation-preference-inference-endpoints-battle.endpoints-userstoriesThis dataset contains a list of endpoints with parameters and a column for the user story of that endpoint
inference-endpoints-structured-generation-multiple
Dataset Card for inference-endpoints-structured-generation-multiple
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/distilabel-internal-testing/inference-endpoints-structured-generation-multiple/raw/main/pipeline.yaml"
or explore the… See the full description on the dataset page: https://huggingface.co/datasets/distilabel-internal-testing/inference-endpoints-structured-generation-multiple.clinical-quad-pvalue-margin-secondary-endpoints-language-publication-pressure-spin-event-v0.1What this repo does
This dataset models statistical spin formation in clinical trial narratives. It predicts when the interaction between weak p-value margin, many secondary endpoints, high language intensity, and publication pressure indicates a high probability of a spin event where the narrative frames a weak result as strong.
Core quad
pvalue_margin_index
secondary_endpoint_count
language_intensity_index
publication_pressure_index
Prediction target
label_spin_event
Row structure
Each row… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-pvalue-margin-secondary-endpoints-language-publication-pressure-spin-event-v0.1.
