Data · dataset · 2022
Doc2Query monoT5 Relevance Scores for `msmarco-passage`
Listed in Hugging Face Datasets
Doc2Query monoT5 Relevance Scores for msmarco-passage This dataset provides the pre-computed query relevance scores for the msmarco-passage dataset, for use with Doc2Query--.
Description
The generated queries come from macavaney/d2q-msmarco-passage and were scored with castorini/monot5-base-msmarco. Getting started This artefact is meant to be used with the pyterrier_doc2query pacakge.
It can be installed as: pip install git+github.com/terrierteam/pyterrier_doc2query… See the full description on the dataset page: huggingface.co/datasets/macavaney/d2q-msmarco-passage-scores-monot5.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/macavaney/d2q-msmarco-passage-scores-monot5 ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/macavaney/d2q-msmarco-passage-scores-monot5 ↗
metadata API · from Hugging Face
Topics
- Stated by source
- text retrieval
- From keywords
- Computer Science & AI
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | macavaney/d2q-msmarco-passage-scores-monot5 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[task].hf_task:text-retrieval | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |