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Github: datasets/neumarco.py

ir_datasets: neuMARCO

Index
  1. neumarco
  2. neumarco/fa
  3. neumarco/fa/dev
  4. neumarco/fa/dev/judged
  5. neumarco/fa/dev/small
  6. neumarco/fa/train
  7. neumarco/fa/train/judged
  8. neumarco/ru
  9. neumarco/ru/dev
  10. neumarco/ru/dev/judged
  11. neumarco/ru/dev/small
  12. neumarco/ru/train
  13. neumarco/ru/train/judged
  14. neumarco/zh
  15. neumarco/zh/dev
  16. neumarco/zh/dev/judged
  17. neumarco/zh/dev/small
  18. neumarco/zh/train
  19. neumarco/zh/train/judged

"neumarco"

A version of msmarco-passage for cross-language information retrieval, provided by JHU HLTCOE with documents translated to other langauges using a Sockeye 2 translation model.

  • Documents: Web passages using machine translation to English
  • Queries: Natural-language web queries in English

"neumarco/fa"

The msmarco-passage corpus, translated to Persian (Farsi).

docsMetadata
8.8M docs

Language: fa

Document type:
GenericDoc: (namedtuple)
  1. doc_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/fa")
for doc in dataset.docs_iter():
    doc # namedtuple<doc_id, text>

You can find more details about the Python API here.


"neumarco/fa/dev"

A version of msmarco-passage/dev, with the corpus translated to Persian (Farsi).

queriesdocsqrelsMetadata
101K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/fa/dev")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/fa/dev/judged"

A version of msmarco-passage/dev/judged, with the corpus translated to Persian (Farsi).

queriesdocsqrelsMetadata
56K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/fa/dev/judged")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/fa/dev/small"

A version of msmarco-passage/dev/small, with the corpus translated to Persian (Farsi).

queriesdocsqrelsMetadata
7.0K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/fa/dev/small")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/fa/train"

A version of msmarco-passage/train, with the corpus translated to Persian (Farsi).

queriesdocsqrelsdocpairsMetadata
809K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/fa/train")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/fa/train/judged"

A version of msmarco-passage/train/judged, with the corpus translated to Persian (Farsi).

queriesdocsqrelsdocpairsMetadata
503K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/fa/train/judged")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/ru"

The msmarco-passage corpus, translated to Russian.

docsMetadata
8.8M docs

Language: ru

Document type:
GenericDoc: (namedtuple)
  1. doc_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/ru")
for doc in dataset.docs_iter():
    doc # namedtuple<doc_id, text>

You can find more details about the Python API here.


"neumarco/ru/dev"

A version of msmarco-passage/dev, with the corpus translated to Russian.

queriesdocsqrelsMetadata
101K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/ru/dev")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/ru/dev/judged"

A version of msmarco-passage/dev/judged, with the corpus translated to Russian.

queriesdocsqrelsMetadata
56K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/ru/dev/judged")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/ru/dev/small"

A version of msmarco-passage/dev/small, with the corpus translated to Russian.

queriesdocsqrelsMetadata
7.0K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/ru/dev/small")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/ru/train"

A version of msmarco-passage/train, with the corpus translated to Russian.

queriesdocsqrelsdocpairsMetadata
809K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/ru/train")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/ru/train/judged"

A version of msmarco-passage/train/judged, with the corpus translated to Russian.

queriesdocsqrelsdocpairsMetadata
503K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/ru/train/judged")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/zh"

The msmarco-passage corpus, translated to Chinese.

docsMetadata
8.8M docs

Language: zh

Document type:
GenericDoc: (namedtuple)
  1. doc_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/zh")
for doc in dataset.docs_iter():
    doc # namedtuple<doc_id, text>

You can find more details about the Python API here.


"neumarco/zh/dev"

A version of msmarco-passage/dev, with the corpus translated to Chinese.

queriesdocsqrelsMetadata
101K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/zh/dev")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/zh/dev/judged"

A version of msmarco-passage/dev/judged, with the corpus translated to Chinese.

queriesdocsqrelsMetadata
56K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/zh/dev/judged")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/zh/dev/small"

A version of msmarco-passage/dev/small, with the corpus translated to Chinese.

queriesdocsqrelsMetadata
7.0K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/zh/dev/small")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/zh/train"

A version of msmarco-passage/train, with the corpus translated to Chinese.

queriesdocsqrelsdocpairsMetadata
809K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/zh/train")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.


"neumarco/zh/train/judged"

A version of msmarco-passage/train/judged, with the corpus translated to Chinese.

queriesdocsqrelsdocpairsMetadata
503K queries

Language: en

Query type:
GenericQuery: (namedtuple)
  1. query_id: str
  2. text: str

Examples:

Python APICLIPyTerrier
import ir_datasets
dataset = ir_datasets.load("neumarco/zh/train/judged")
for query in dataset.queries_iter():
    query # namedtuple<query_id, text>

You can find more details about the Python API here.