Datasetpublic

jueri/longeval-2026-snapshot-1-index-dense

LongEval 2026 Snapshot 1 Terrier Dense Index Description This is a Terrier Dense index for the snapshot-1 of the LongEval 2026 test collection. It indexes the titles and abstracts of the scientific documents using Qwen/Qwen3-Embedding-4B and the default prompt. # Load the artifact import pyterrier as pt import pyterrier_dr index = pt.Artifact.from_hf('jueri/longeval-2026-snapshot-1-index-dense') model = pyterrier_dr.SBertBiEncoder('Qwen/Qwen3-Embedding-4B')… See the full description on the dataset page: https://huggingface.co/datasets/jueri/longeval-2026-snapshot-1-index-dense.

sourceHugging Faceupdated 6mo agoView on Hugging Face

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Dataset Card

LongEval 2026 Snapshot 1 Terrier Dense Index

Description

This is a Terrier Dense index for the snapshot-1 of the LongEval 2026 test collection. It indexes the titles and abstracts of the scientific documents using Qwen/Qwen3-Embedding-4B and the default prompt.

python

# Load the artifact
import pyterrier as pt
import pyterrier_dr

index = pt.Artifact.from_hf('jueri/longeval-2026-snapshot-1-index-dense')
model = pyterrier_dr.SBertBiEncoder('Qwen/Qwen3-Embedding-4B')

retriever = model.query_encoder() >> index.retriever()

results = retriever.search("capital of Germany")

Benchmarks

TODO: Provide benchmarks for the artifact.

Reproduction

The index was created through the PyTerrier dense baseline.

Metadata

{
  "type": "sparse_index",
  "format": "terrier",
  "package_hint": "python-terrier"
}