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Table · dataset · 2022

dvilasuero/banking77_vectors

Listed in Hugging Face Datasets

Description

Dataset Card for "banking77_vectors" Install pip install fast-sentence-transformers from fast_sentence_transformers import FastSentenceTransformer as SentenceTransformer from datasets import load_dataset # use any sentence-transformer encoder = SentenceTransformer("all-MiniLM-L6-v2", device="cpu") dataset = load_dataset("banking77", split="test") dataset = dataset.map(lambda batch: {"vector": encoder.encode(batch["text"])}, batch_size=32, batched=True) More Information needed

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Catalogue records · 1

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Stated by source
text · timeseries
Inferred from text
Text 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsdvilasuero/banking77_vectors12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:timeseriessource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0