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Github: datasets/csl.py

ir_datasets: CSL

Index
  1. csl
  2. csl/trec-2023

"csl"

The CSL dataset, used for the TREC NueCLIR technical document task.

docsMetadata
396K docs

Language: zh

Document type:
CslDoc: (namedtuple)
  1. doc_id: str
  2. title: str
  3. abstract: str
  4. keywords: List[str]
  5. category: str
  6. category_eng: str
  7. discipline: str
  8. discipline_eng: str

Examples:

Python APICLIPyTerrierXPM-IR 
import ir_datasets
dataset = ir_datasets.load("csl")
for doc in dataset.docs_iter():
    doc # namedtuple<doc_id, title, abstract, keywords, category, category_eng, discipline, discipline_eng>

You can find more details about the Python API here.

"csl/trec-2023"

The TREC NeuCLIR 2023 technical documen task.

queriesdocsqrelsMetadata
41 queries

Language: multiple/other/unknown

Query type:
ExctractedCCNoReportQuery: (namedtuple)
  1. query_id: str
  2. title: str
  3. description: str
  4. narrative: str
  5. ht_title: str
  6. ht_description: str
  7. ht_narrative: str
  8. mt_title: str
  9. mt_description: str
  10. mt_narrative: str
  11. translation_lang: str

Examples:

Python APICLIPyTerrierXPM-IR 
import ir_datasets
dataset = ir_datasets.load("csl/trec-2023")
for query in dataset.queries_iter():
    query # namedtuple<query_id, title, description, narrative, ht_title, ht_description, ht_narrative, mt_title, mt_description, mt_narrative, translation_lang>

You can find more details about the Python API here.