References:
psgs_w100.nq.exact
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wiki_dpr/psgs_w100.nq.exact')
- Description:
This is the wikipedia split used to evaluate the Dense Passage Retrieval (DPR) model.
It contains 21M passages from wikipedia along with their DPR embeddings.
The wikipedia articles were split into multiple, disjoint text blocks of 100 words as passages.
- License: No known license
- Version: 0.0.0
- Splits:
Split | Examples |
---|---|
'train' |
21015300 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"embeddings": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
psgs_w100.nq.compressed
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wiki_dpr/psgs_w100.nq.compressed')
- Description:
This is the wikipedia split used to evaluate the Dense Passage Retrieval (DPR) model.
It contains 21M passages from wikipedia along with their DPR embeddings.
The wikipedia articles were split into multiple, disjoint text blocks of 100 words as passages.
- License: No known license
- Version: 0.0.0
- Splits:
Split | Examples |
---|---|
'train' |
21015300 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"embeddings": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
psgs_w100.nq.no_index
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wiki_dpr/psgs_w100.nq.no_index')
- Description:
This is the wikipedia split used to evaluate the Dense Passage Retrieval (DPR) model.
It contains 21M passages from wikipedia along with their DPR embeddings.
The wikipedia articles were split into multiple, disjoint text blocks of 100 words as passages.
- License: No known license
- Version: 0.0.0
- Splits:
Split | Examples |
---|---|
'train' |
21015300 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"embeddings": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
psgs_w100.multiset.exact
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wiki_dpr/psgs_w100.multiset.exact')
- Description:
This is the wikipedia split used to evaluate the Dense Passage Retrieval (DPR) model.
It contains 21M passages from wikipedia along with their DPR embeddings.
The wikipedia articles were split into multiple, disjoint text blocks of 100 words as passages.
- License: No known license
- Version: 0.0.0
- Splits:
Split | Examples |
---|---|
'train' |
21015300 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"embeddings": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
psgs_w100.multiset.compressed
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wiki_dpr/psgs_w100.multiset.compressed')
- Description:
This is the wikipedia split used to evaluate the Dense Passage Retrieval (DPR) model.
It contains 21M passages from wikipedia along with their DPR embeddings.
The wikipedia articles were split into multiple, disjoint text blocks of 100 words as passages.
- License: No known license
- Version: 0.0.0
- Splits:
Split | Examples |
---|---|
'train' |
21015300 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"embeddings": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
psgs_w100.multiset.no_index
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wiki_dpr/psgs_w100.multiset.no_index')
- Description:
This is the wikipedia split used to evaluate the Dense Passage Retrieval (DPR) model.
It contains 21M passages from wikipedia along with their DPR embeddings.
The wikipedia articles were split into multiple, disjoint text blocks of 100 words as passages.
- License: No known license
- Version: 0.0.0
- Splits:
Split | Examples |
---|---|
'train' |
21015300 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"embeddings": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}