Datasetpublic

JackMcKechnie/msmarco_passage_trec_dl_2019_judged_intfloat_e5_base_v2.flex

msmarco_passage_trec_dl_2019_judged_intfloat_e5_base_v2.flex Description TODO: What is the artifact? Usage # Load the artifact import pyterrier as pt artifact = pt.Artifact.from_hf('JackMcKechnie/msmarco_passage_trec_dl_2019_judged_intfloat_e5_base_v2.flex') # TODO: Show how you use the artifact Benchmarks TODO: Provide benchmarks for the artifact. Reproduction # TODO: Show how you constructed the artifact.… See the full description on the dataset page: https://huggingface.co/datasets/JackMcKechnie/msmarco_passage_trec_dl_2019_judged_intfloat_e5_base_v2.flex.

sourceHugging Faceupdated 9mo agoView on Hugging Face

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Dataset Card

msmarcopassagetrecdl2019judgedintfloate5base_v2.flex

Description

TODO: What is the artifact?

Usage

python

# Load the artifact
import pyterrier as pt
artifact = pt.Artifact.from_hf('JackMcKechnie/msmarco_passage_trec_dl_2019_judged_intfloat_e5_base_v2.flex')
# TODO: Show how you use the artifact

Benchmarks

TODO: Provide benchmarks for the artifact.

Reproduction

python

# TODO: Show how you constructed the artifact.

Metadata

{
  "type": "dense_index",
  "format": "flex",
  "vec_size": 768,
  "doc_count": 8841823
}