Data · dataset · 2022
uva-irlab/trec-cast-2019-multi-turn
Listed in Hugging Face Datasets
The Conversational Assistance Track (CAsT) is a new track for TREC 2019 to facilitate Conversational Information Seeking (CIS) research and to create a large-scale reusable test collection for conversational search systems.
Description
The document corpus is 38,426,252 passages from the TREC Complex Answer Retrieval (CAR) and Microsoft MAchine Reading COmprehension (MARCO) datasets.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/uva-irlab/trec-cast-2019-multi-turn ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/uva-irlab/trec-cast-2019-multi-turn ↗
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 | uva-irlab/trec-cast-2019-multi-turn | 15 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 |