Github: datasets/cranfield.py

`ir_datasets`: Cranfield

Index

cranfield

`"cranfield"`

A small corpus of 1,400 scientific abstracts.

Documents: Scientific abstracts
Queries: Natural language questions
Dataset Information

queries docs qrels Metadata

225 queries

Language: en

Query type:

GenericQuery: (namedtuple)

query_id: str
text: str

Examples:

Python API CLI PyTerrier

import ir_datasets
dataset = ir_datasets.load("cranfield")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.

ir_datasets export cranfield queries



[query_id]    [text]
...

You can find more details about the CLI here.

Rel.	Definition	Count	%
-1	References of no interest.	`225`	12.2%
1	References of minimum interest, for example, those that have been included from an historical viewpoint.	`128`	7.0%
2	References which were useful, either as general background to the work or as suggesting methods of tackling certain aspects of the work.	`387`	21.1%
3	References of a high degree of relevance, the lack of which either would have made the research impracticable or would have resulted in a considerable amount of extra work.	`734`	40.0%
4	References which are a complete answer to the question.	`363`	19.8%

{
  "docs": {
    "count": 1400,
    "fields": {
      "doc_id": {
        "max_len": 4,
        "common_prefix": ""
      }
    }
  },
  "queries": {
    "count": 225
  },
  "qrels": {
    "count": 1837,
    "fields": {
      "relevance": {
        "counts_by_value": {
          "2": 387,
          "3": 734,
          "4": 363,
          "-1": 225,
          "1": 128
        }
      }
    }
  }
}

ir_datasets: Cranfield

"cranfield"

`ir_datasets`: Cranfield

`"cranfield"`