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webis-touche2020-v3 – Dataset by mteb | AlphaNeural AI
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webis-touche2020-v3
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text-retrieval
multiple-choice-qa
human-annotated
monolingual
mteb/touche2020
eng
cc-by-sa-4.0
100K<n<1M
parquet
text
datasets
dask
mlcroissant
polars
2502.13595
2210.07316
us
mteb
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Touche2020Retrieval.v3 An MTEB dataset Massive Text Embedding Benchmark
Touché Task 1: Argument Retrieval for Controversial Questions
Task category t2t
Domains Academic
Reference
https://github.com/castorini/touche-error-analysis
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code: import mteb
task = mteb.get_tasks(["Touche2020Retrieval.v3"]) evaluator = mteb.MTEB(task)
model =… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/webis-touche2020-v3
.
