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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a60c4b3201953e6f73404da4f8e257a35dbb3e51 |
# Dataset Card for `wikiclir/pl`
The `wikiclir/pl` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/pl).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=1,2... | irds/wikiclir_pl | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T03:59:30+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/pl`", "viewer": false} | 2023-01-05T03:59:35+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/pl'
The 'wikiclir/pl' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=1,234,316
- 'queries' (i.e., topics); count=693,656
- 'qrels': (relevance ass... | [
"# Dataset Card for 'wikiclir/pl'\n\nThe 'wikiclir/pl' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,234,316\n - 'queries' (i.e., topics); count=693,656\n - 'qrels'... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/pl'\n\nThe 'wikiclir/pl' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,234,31... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/pl'\n\nThe 'wikiclir/pl' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,234,316\n... |
b7a9c26c16d319a170ffaf4278831c91d95a3f80 |
# Dataset Card for `wikiclir/pt`
The `wikiclir/pt` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/pt).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=973... | irds/wikiclir_pt | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T03:59:41+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/pt`", "viewer": false} | 2023-01-05T03:59:48+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/pt'
The 'wikiclir/pt' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=973,057
- 'queries' (i.e., topics); count=611,732
- 'qrels': (relevance asses... | [
"# Dataset Card for 'wikiclir/pt'\n\nThe 'wikiclir/pt' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=973,057\n - 'queries' (i.e., topics); count=611,732\n - 'qrels': ... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/pt'\n\nThe 'wikiclir/pt' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=973,057\... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/pt'\n\nThe 'wikiclir/pt' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=973,057\n -... |
0cd574b3cd70d2c3de60d7cd6b57318cd8d12894 |
# Dataset Card for `wikiclir/ro`
The `wikiclir/ro` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/ro).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=376... | irds/wikiclir_ro | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T03:59:53+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/ro`", "viewer": false} | 2023-01-05T03:59:59+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/ro'
The 'wikiclir/ro' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=376,655
- 'queries' (i.e., topics); count=199,264
- 'qrels': (relevance asses... | [
"# Dataset Card for 'wikiclir/ro'\n\nThe 'wikiclir/ro' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=376,655\n - 'queries' (i.e., topics); count=199,264\n - 'qrels': ... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/ro'\n\nThe 'wikiclir/ro' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=376,655\... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/ro'\n\nThe 'wikiclir/ro' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=376,655\n -... |
794af9f06463ebe99d484d1fddc4851cff4eb143 |
# Dataset Card for `wikiclir/ru`
The `wikiclir/ru` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/ru).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=1,4... | irds/wikiclir_ru | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:00:04+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/ru`", "viewer": false} | 2023-01-05T04:00:10+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/ru'
The 'wikiclir/ru' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=1,413,945
- 'queries' (i.e., topics); count=664,924
- 'qrels': (relevance ass... | [
"# Dataset Card for 'wikiclir/ru'\n\nThe 'wikiclir/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,413,945\n - 'queries' (i.e., topics); count=664,924\n - 'qrels'... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/ru'\n\nThe 'wikiclir/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,413,94... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/ru'\n\nThe 'wikiclir/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,413,945\n... |
eb942ebdcde3f00e8ab2625f12fea6e763d89c5e |
# Dataset Card for `wikiclir/sv`
The `wikiclir/sv` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/sv).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=3,7... | irds/wikiclir_sv | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:00:16+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/sv`", "viewer": false} | 2023-01-05T04:00:21+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/sv'
The 'wikiclir/sv' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=3,785,412
- 'queries' (i.e., topics); count=639,073
- 'qrels': (relevance ass... | [
"# Dataset Card for 'wikiclir/sv'\n\nThe 'wikiclir/sv' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=3,785,412\n - 'queries' (i.e., topics); count=639,073\n - 'qrels'... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/sv'\n\nThe 'wikiclir/sv' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=3,785,41... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/sv'\n\nThe 'wikiclir/sv' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=3,785,412\n... |
8720841ac50187a4f2cb975a561071aa394adae5 |
# Dataset Card for `wikiclir/sw`
The `wikiclir/sw` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/sw).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=37,... | irds/wikiclir_sw | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:00:27+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/sw`", "viewer": false} | 2023-01-05T04:00:32+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/sw'
The 'wikiclir/sw' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=37,079
- 'queries' (i.e., topics); count=22,860
- 'qrels': (relevance assessm... | [
"# Dataset Card for 'wikiclir/sw'\n\nThe 'wikiclir/sw' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=37,079\n - 'queries' (i.e., topics); count=22,860\n - 'qrels': (r... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/sw'\n\nThe 'wikiclir/sw' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=37,079\n... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/sw'\n\nThe 'wikiclir/sw' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=37,079\n - ... |
4deb906ed0fcae7cbd355e37821a2b8c1aeeed76 |
# Dataset Card for `wikiclir/tl`
The `wikiclir/tl` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/tl).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=79,... | irds/wikiclir_tl | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:00:38+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/tl`", "viewer": false} | 2023-01-05T04:00:44+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/tl'
The 'wikiclir/tl' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=79,008
- 'queries' (i.e., topics); count=48,930
- 'qrels': (relevance assessm... | [
"# Dataset Card for 'wikiclir/tl'\n\nThe 'wikiclir/tl' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=79,008\n - 'queries' (i.e., topics); count=48,930\n - 'qrels': (r... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/tl'\n\nThe 'wikiclir/tl' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=79,008\n... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/tl'\n\nThe 'wikiclir/tl' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=79,008\n - ... |
7aaa433bf0a1b2a46fbf49d62bcac06db34acd3b |
# Dataset Card for `wikiclir/tr`
The `wikiclir/tr` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/tr).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=295... | irds/wikiclir_tr | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:00:49+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/tr`", "viewer": false} | 2023-01-05T04:00:55+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/tr'
The 'wikiclir/tr' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=295,593
- 'queries' (i.e., topics); count=185,388
- 'qrels': (relevance asses... | [
"# Dataset Card for 'wikiclir/tr'\n\nThe 'wikiclir/tr' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=295,593\n - 'queries' (i.e., topics); count=185,388\n - 'qrels': ... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/tr'\n\nThe 'wikiclir/tr' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=295,593\... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/tr'\n\nThe 'wikiclir/tr' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=295,593\n -... |
34241822fbdee548da53215dc7e9aa079fedfda6 |
# Dataset Card for `wikiclir/uk`
The `wikiclir/uk` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/uk).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=704... | irds/wikiclir_uk | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:01:00+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/uk`", "viewer": false} | 2023-01-05T04:01:06+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/uk'
The 'wikiclir/uk' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=704,903
- 'queries' (i.e., topics); count=348,222
- 'qrels': (relevance asses... | [
"# Dataset Card for 'wikiclir/uk'\n\nThe 'wikiclir/uk' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=704,903\n - 'queries' (i.e., topics); count=348,222\n - 'qrels': ... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/uk'\n\nThe 'wikiclir/uk' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=704,903\... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/uk'\n\nThe 'wikiclir/uk' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=704,903\n -... |
11c4efc0c905cf0f7e1ec205a0d106063117d401 |
# Dataset Card for `wikiclir/vi`
The `wikiclir/vi` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/vi).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=1,3... | irds/wikiclir_vi | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:01:11+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/vi`", "viewer": false} | 2023-01-05T04:01:17+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/vi'
The 'wikiclir/vi' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=1,392,152
- 'queries' (i.e., topics); count=354,312
- 'qrels': (relevance ass... | [
"# Dataset Card for 'wikiclir/vi'\n\nThe 'wikiclir/vi' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,392,152\n - 'queries' (i.e., topics); count=354,312\n - 'qrels'... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/vi'\n\nThe 'wikiclir/vi' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,392,15... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/vi'\n\nThe 'wikiclir/vi' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=1,392,152\n... |
da21f40f6e4b7c793a5a432c31c2cf4d7f1352ff |
# Dataset Card for `wikiclir/zh`
The `wikiclir/zh` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikiclir#wikiclir/zh).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=951... | irds/wikiclir_zh | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:01:22+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikiclir/zh`", "viewer": false} | 2023-01-05T04:01:28+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikiclir/zh'
The 'wikiclir/zh' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=951,480
- 'queries' (i.e., topics); count=463,273
- 'qrels': (relevance asses... | [
"# Dataset Card for 'wikiclir/zh'\n\nThe 'wikiclir/zh' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=951,480\n - 'queries' (i.e., topics); count=463,273\n - 'qrels': ... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikiclir/zh'\n\nThe 'wikiclir/zh' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=951,480\... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikiclir/zh'\n\nThe 'wikiclir/zh' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=951,480\n -... |
34faf269615dfec84c7406e1aad4028184021690 |
# Dataset Card for `wikir/en1k`
The `wikir/en1k` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikir#wikir/en1k).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=369,721
... | irds/wikir_en1k | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:01:33+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikir/en1k`", "viewer": false} | 2023-01-05T04:01:39+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikir/en1k'
The 'wikir/en1k' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=369,721
## Usage
Note that calling 'load_dataset' will download the dataset ... | [
"# Dataset Card for 'wikir/en1k'\n\nThe 'wikir/en1k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=369,721",
"## Usage\n\n\n\nNote that calling 'load_dataset' will ... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikir/en1k'\n\nThe 'wikir/en1k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=369,721",
... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikir/en1k'\n\nThe 'wikir/en1k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=369,721## Usa... |
2d9fe6d78bd5fb74187947c42fb47aecb45e616d |
# Dataset Card for `wikir/en59k`
The `wikir/en59k` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikir#wikir/en59k).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=2,454,... | irds/wikir_en59k | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:01:44+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikir/en59k`", "viewer": false} | 2023-01-05T04:01:50+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikir/en59k'
The 'wikir/en59k' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=2,454,785
## Usage
Note that calling 'load_dataset' will download the data... | [
"# Dataset Card for 'wikir/en59k'\n\nThe 'wikir/en59k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,454,785",
"## Usage\n\n\n\nNote that calling 'load_dataset' w... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikir/en59k'\n\nThe 'wikir/en59k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,454,78... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikir/en59k'\n\nThe 'wikir/en59k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,454,785##... |
381392f54da22a76b14335afddb7a77ac3e9acf7 |
# Dataset Card for `wikir/en78k`
The `wikir/en78k` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikir#wikir/en78k).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=2,456,... | irds/wikir_en78k | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:01:56+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikir/en78k`", "viewer": false} | 2023-01-05T04:02:01+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikir/en78k'
The 'wikir/en78k' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=2,456,637
## Usage
Note that calling 'load_dataset' will download the data... | [
"# Dataset Card for 'wikir/en78k'\n\nThe 'wikir/en78k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,456,637",
"## Usage\n\n\n\nNote that calling 'load_dataset' w... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikir/en78k'\n\nThe 'wikir/en78k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,456,63... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikir/en78k'\n\nThe 'wikir/en78k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,456,637##... |
4974b363522566225161cd1d4909c90f93f10324 |
# Dataset Card for `wikir/ens78k`
The `wikir/ens78k` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikir#wikir/ens78k).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=2,4... | irds/wikir_ens78k | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:02:07+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikir/ens78k`", "viewer": false} | 2023-01-05T04:02:13+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikir/ens78k'
The 'wikir/ens78k' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=2,456,637
## Usage
Note that calling 'load_dataset' will download the da... | [
"# Dataset Card for 'wikir/ens78k'\n\nThe 'wikir/ens78k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,456,637",
"## Usage\n\n\n\nNote that calling 'load_dataset'... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikir/ens78k'\n\nThe 'wikir/ens78k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,456,... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikir/ens78k'\n\nThe 'wikir/ens78k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,456,637... |
db04698ad140684d348a6c4c200a105488cb2568 |
# Dataset Card for `wikir/es13k`
The `wikir/es13k` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikir#wikir/es13k).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=645,90... | irds/wikir_es13k | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:02:18+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikir/es13k`", "viewer": false} | 2023-01-05T04:02:24+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikir/es13k'
The 'wikir/es13k' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=645,901
## Usage
Note that calling 'load_dataset' will download the datase... | [
"# Dataset Card for 'wikir/es13k'\n\nThe 'wikir/es13k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=645,901",
"## Usage\n\n\n\nNote that calling 'load_dataset' wil... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikir/es13k'\n\nThe 'wikir/es13k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=645,901"... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikir/es13k'\n\nThe 'wikir/es13k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=645,901## U... |
4b30e81715f939304b635ab6d0d310c4206388f1 |
# Dataset Card for `wikir/fr14k`
The `wikir/fr14k` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikir#wikir/fr14k).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=736,61... | irds/wikir_fr14k | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:02:29+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikir/fr14k`", "viewer": false} | 2023-01-05T04:02:35+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikir/fr14k'
The 'wikir/fr14k' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=736,616
## Usage
Note that calling 'load_dataset' will download the datase... | [
"# Dataset Card for 'wikir/fr14k'\n\nThe 'wikir/fr14k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=736,616",
"## Usage\n\n\n\nNote that calling 'load_dataset' wil... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikir/fr14k'\n\nThe 'wikir/fr14k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=736,616"... | [
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] | [
"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikir/fr14k'\n\nThe 'wikir/fr14k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=736,616## U... |
b880a1e3756c68f85108b73e93cf1f121e858e5a |
# Dataset Card for `wikir/it16k`
The `wikir/it16k` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikir#wikir/it16k).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=503,01... | irds/wikir_it16k | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:02:40+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`wikir/it16k`", "viewer": false} | 2023-01-05T04:02:46+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'wikir/it16k'
The 'wikir/it16k' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=503,012
## Usage
Note that calling 'load_dataset' will download the datase... | [
"# Dataset Card for 'wikir/it16k'\n\nThe 'wikir/it16k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=503,012",
"## Usage\n\n\n\nNote that calling 'load_dataset' wil... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'wikir/it16k'\n\nThe 'wikir/it16k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=503,012"... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'wikir/it16k'\n\nThe 'wikir/it16k' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=503,012## U... |
53e8015a522198555acd5c856d28dbe9bff6da9c |
# Dataset Card for `trec-fair/2022/train`
The `trec-fair/2022/train` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/trec-fair#trec-fair/2022/train).
# Data
This dataset provides:
- `queries` (i.e., to... | irds/trec-fair_2022_train | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:02:51+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`trec-fair/2022/train`", "viewer": false} | 2023-01-05T04:02:57+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'trec-fair/2022/train'
The 'trec-fair/2022/train' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=50
- 'qrels': (relevance assessments); count=2,088,306
## Usage
Not... | [
"# Dataset Card for 'trec-fair/2022/train'\n\nThe 'trec-fair/2022/train' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'queries' (i.e., topics); count=50\n - 'qrels': (relevance assessments); count=2,088,306",
... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'trec-fair/2022/train'\n\nThe 'trec-fair/2022/train' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'queries' (i.e., topics); count=50... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'trec-fair/2022/train'\n\nThe 'trec-fair/2022/train' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'queries' (i.e., topics); count=50\n ... |
25bbce2867adeb1406f7b6037dbe97caf78ec7cf |
# Dataset Card for `trec-cast/v0`
The `trec-cast/v0` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/trec-cast#trec-cast/v0).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count... | irds/trec-cast_v0 | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:03:03+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`trec-cast/v0`", "viewer": false} | 2023-01-05T04:03:08+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'trec-cast/v0'
The 'trec-cast/v0' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=47,696,605
## Usage
Note that calling 'load_dataset' will download the d... | [
"# Dataset Card for 'trec-cast/v0'\n\nThe 'trec-cast/v0' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=47,696,605",
"## Usage\n\n\n\nNote that calling 'load_dataset... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'trec-cast/v0'\n\nThe 'trec-cast/v0' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=47,696... | [
18,
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'trec-cast/v0'\n\nThe 'trec-cast/v0' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=47,696,60... |
64ac84bd0275f929e5007e75972bae185bbb7bfe |
# Dataset Card for `trec-cast/v1`
The `trec-cast/v1` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/trec-cast#trec-cast/v1).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count... | irds/trec-cast_v1 | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:03:14+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`trec-cast/v1`", "viewer": false} | 2023-01-05T04:03:19+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'trec-cast/v1'
The 'trec-cast/v1' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=38,622,444
This dataset is used by: 'trec-cast_v1_2020', 'trec-cast_v1_2020... | [
"# Dataset Card for 'trec-cast/v1'\n\nThe 'trec-cast/v1' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=38,622,444\n\n\nThis dataset is used by: 'trec-cast_v1_2020', '... | [
"TAGS\n#task_categories-text-retrieval #region-us \n",
"# Dataset Card for 'trec-cast/v1'\n\nThe 'trec-cast/v1' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=38,622... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'trec-cast/v1'\n\nThe 'trec-cast/v1' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=38,622,44... |
c730a1fc68ec286a83e785b796c2ebb11b6e34d2 |
# Dataset Card for `trec-cast/v1/2020`
The `trec-cast/v1/2020` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/trec-cast#trec-cast/v1/2020).
# Data
This dataset provides:
- `queries` (i.e., topics); co... | irds/trec-cast_v1_2020 | [
"task_categories:text-retrieval",
"source_datasets:irds/trec-cast_v1",
"region:us"
] | 2023-01-05T04:03:25+00:00 | {"source_datasets": ["irds/trec-cast_v1"], "task_categories": ["text-retrieval"], "pretty_name": "`trec-cast/v1/2020`", "viewer": false} | 2023-01-05T04:03:31+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #source_datasets-irds/trec-cast_v1 #region-us
|
# Dataset Card for 'trec-cast/v1/2020'
The 'trec-cast/v1/2020' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=216
- 'qrels': (relevance assessments); count=40,451
- For 'docs', use 'irds... | [
"# Dataset Card for 'trec-cast/v1/2020'\n\nThe 'trec-cast/v1/2020' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'queries' (i.e., topics); count=216\n - 'qrels': (relevance assessments); count=40,451\n\n - For ... | [
"TAGS\n#task_categories-text-retrieval #source_datasets-irds/trec-cast_v1 #region-us \n",
"# Dataset Card for 'trec-cast/v1/2020'\n\nThe 'trec-cast/v1/2020' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'quer... | [
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"passage: TAGS\n#task_categories-text-retrieval #source_datasets-irds/trec-cast_v1 #region-us \n# Dataset Card for 'trec-cast/v1/2020'\n\nThe 'trec-cast/v1/2020' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'queries... |
a6b28f20219044c62f728352f3692897550a30cf |
# Dataset Card for `trec-cast/v1/2020/judged`
The `trec-cast/v1/2020/judged` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/trec-cast#trec-cast/v1/2020/judged).
# Data
This dataset provides:
- `querie... | irds/trec-cast_v1_2020_judged | [
"task_categories:text-retrieval",
"source_datasets:irds/trec-cast_v1",
"source_datasets:irds/trec-cast_v1_2020",
"region:us"
] | 2023-01-05T04:03:36+00:00 | {"source_datasets": ["irds/trec-cast_v1", "irds/trec-cast_v1_2020"], "task_categories": ["text-retrieval"], "pretty_name": "`trec-cast/v1/2020/judged`", "viewer": false} | 2023-01-05T04:03:42+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #source_datasets-irds/trec-cast_v1 #source_datasets-irds/trec-cast_v1_2020 #region-us
|
# Dataset Card for 'trec-cast/v1/2020/judged'
The 'trec-cast/v1/2020/judged' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'queries' (i.e., topics); count=208
- For 'docs', use 'irds/trec-cast_v1'
- For 'qrels', use '... | [
"# Dataset Card for 'trec-cast/v1/2020/judged'\n\nThe 'trec-cast/v1/2020/judged' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'queries' (i.e., topics); count=208\n\n - For 'docs', use 'irds/trec-cast_v1'\n - F... | [
"TAGS\n#task_categories-text-retrieval #source_datasets-irds/trec-cast_v1 #source_datasets-irds/trec-cast_v1_2020 #region-us \n",
"# Dataset Card for 'trec-cast/v1/2020/judged'\n\nThe 'trec-cast/v1/2020/judged' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the document... | [
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"passage: TAGS\n#task_categories-text-retrieval #source_datasets-irds/trec-cast_v1 #source_datasets-irds/trec-cast_v1_2020 #region-us \n# Dataset Card for 'trec-cast/v1/2020/judged'\n\nThe 'trec-cast/v1/2020/judged' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the docum... |
762f2fe26d008e9908e0d451cbb1c3818c95a89f |
# Dataset Card for `hc4/fa`
The `hc4/fa` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/hc4#hc4/fa).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=486,486
## Usage
```... | irds/hc4_fa | [
"task_categories:text-retrieval",
"arxiv:2201.09992",
"region:us"
] | 2023-01-05T04:03:47+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`hc4/fa`", "viewer": false} | 2023-01-05T04:03:53+00:00 | [
"2201.09992"
] | [] | TAGS
#task_categories-text-retrieval #arxiv-2201.09992 #region-us
|
# Dataset Card for 'hc4/fa'
The 'hc4/fa' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=486,486
## Usage
Note that calling 'load_dataset' will download the dataset (or prov... | [
"# Dataset Card for 'hc4/fa'\n\nThe 'hc4/fa' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=486,486",
"## Usage\n\n\n\nNote that calling 'load_dataset' will download... | [
"TAGS\n#task_categories-text-retrieval #arxiv-2201.09992 #region-us \n",
"# Dataset Card for 'hc4/fa'\n\nThe 'hc4/fa' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=... | [
27,
43,
29,
41
] | [
"passage: TAGS\n#task_categories-text-retrieval #arxiv-2201.09992 #region-us \n# Dataset Card for 'hc4/fa'\n\nThe 'hc4/fa' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=486... |
65fa23f6fb44e5965c09369b58c07ceeb3f169c5 |
# Dataset Card for `hc4/ru`
The `hc4/ru` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/hc4#hc4/ru).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=4,721,064
## Usage
`... | irds/hc4_ru | [
"task_categories:text-retrieval",
"arxiv:2201.09992",
"region:us"
] | 2023-01-05T04:03:58+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`hc4/ru`", "viewer": false} | 2023-01-05T04:04:04+00:00 | [
"2201.09992"
] | [] | TAGS
#task_categories-text-retrieval #arxiv-2201.09992 #region-us
|
# Dataset Card for 'hc4/ru'
The 'hc4/ru' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=4,721,064
## Usage
Note that calling 'load_dataset' will download the dataset (or pr... | [
"# Dataset Card for 'hc4/ru'\n\nThe 'hc4/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=4,721,064",
"## Usage\n\n\n\nNote that calling 'load_dataset' will downlo... | [
"TAGS\n#task_categories-text-retrieval #arxiv-2201.09992 #region-us \n",
"# Dataset Card for 'hc4/ru'\n\nThe 'hc4/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=... | [
27,
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41
] | [
"passage: TAGS\n#task_categories-text-retrieval #arxiv-2201.09992 #region-us \n# Dataset Card for 'hc4/ru'\n\nThe 'hc4/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=4,7... |
cc98dd7e796bd3a70cea16b97ae0df671acbf444 |
# Dataset Card for `hc4/zh`
The `hc4/zh` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/hc4#hc4/zh).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=646,305
## Usage
```... | irds/hc4_zh | [
"task_categories:text-retrieval",
"arxiv:2201.09992",
"region:us"
] | 2023-01-05T04:04:10+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`hc4/zh`", "viewer": false} | 2023-01-05T04:04:15+00:00 | [
"2201.09992"
] | [] | TAGS
#task_categories-text-retrieval #arxiv-2201.09992 #region-us
|
# Dataset Card for 'hc4/zh'
The 'hc4/zh' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=646,305
## Usage
Note that calling 'load_dataset' will download the dataset (or prov... | [
"# Dataset Card for 'hc4/zh'\n\nThe 'hc4/zh' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=646,305",
"## Usage\n\n\n\nNote that calling 'load_dataset' will download... | [
"TAGS\n#task_categories-text-retrieval #arxiv-2201.09992 #region-us \n",
"# Dataset Card for 'hc4/zh'\n\nThe 'hc4/zh' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=... | [
27,
43,
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] | [
"passage: TAGS\n#task_categories-text-retrieval #arxiv-2201.09992 #region-us \n# Dataset Card for 'hc4/zh'\n\nThe 'hc4/zh' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=646... |
49a02b36880687682db45f8478f2ddcf7983da27 |
# Dataset Card for `neuclir/1/fa`
The `neuclir/1/fa` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/neuclir#neuclir/1/fa).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=2... | irds/neuclir_1_fa | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:04:21+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`neuclir/1/fa`", "viewer": false} | 2023-01-05T04:04:26+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'neuclir/1/fa'
The 'neuclir/1/fa' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=2,232,016
## Usage
Note that calling 'load_dataset' will download the da... | [
"# Dataset Card for 'neuclir/1/fa'\n\nThe 'neuclir/1/fa' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,232,016",
"## Usage\n\n\n\nNote that calling 'load_dataset'... | [
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"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=2,232,... | [
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d39ee5367d56bae93cf56997780ccdf93db01c09 |
# Dataset Card for `neuclir/1/ru`
The `neuclir/1/ru` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/neuclir#neuclir/1/ru).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=4... | irds/neuclir_1_ru | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:04:32+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`neuclir/1/ru`", "viewer": false} | 2023-01-05T04:04:38+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'neuclir/1/ru'
The 'neuclir/1/ru' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=4,627,543
## Usage
Note that calling 'load_dataset' will download the da... | [
"# Dataset Card for 'neuclir/1/ru'\n\nThe 'neuclir/1/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
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"## Usage\n\n\n\nNote that calling 'load_dataset'... | [
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"# Dataset Card for 'neuclir/1/ru'\n\nThe 'neuclir/1/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=4,627,... | [
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"passage: TAGS\n#task_categories-text-retrieval #region-us \n# Dataset Card for 'neuclir/1/ru'\n\nThe 'neuclir/1/ru' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=4,627,543... |
3cecf7c13de043e5ff05f4380a555fd8ce46bc4d |
# Dataset Card for `neuclir/1/zh`
The `neuclir/1/zh` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/neuclir#neuclir/1/zh).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=3... | irds/neuclir_1_zh | [
"task_categories:text-retrieval",
"region:us"
] | 2023-01-05T04:04:43+00:00 | {"source_datasets": [], "task_categories": ["text-retrieval"], "pretty_name": "`neuclir/1/zh`", "viewer": false} | 2023-01-05T04:04:49+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #region-us
|
# Dataset Card for 'neuclir/1/zh'
The 'neuclir/1/zh' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
# Data
This dataset provides:
- 'docs' (documents, i.e., the corpus); count=3,179,209
## Usage
Note that calling 'load_dataset' will download the da... | [
"# Dataset Card for 'neuclir/1/zh'\n\nThe 'neuclir/1/zh' dataset, provided by the ir-datasets package.\nFor more information about the dataset, see the documentation.",
"# Data\n\nThis dataset provides:\n - 'docs' (documents, i.e., the corpus); count=3,179,209",
"## Usage\n\n\n\nNote that calling 'load_dataset'... | [
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c8b71939a9e755c0182e676bea668ac90574e84f | # Dataset Card for "results_valid_100rows_2023-01-05"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joddy/results_valid_100rows_2023-01-05 | [
"region:us"
] | 2023-01-05T06:45:12+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "resolution", "dtype": "int64"}, {"name": "attributes_loc", "dtype": {"class_label": {"names": {"0": "upper left", "1": "upper right", "2": "lower left", "3": "lower right"}}}}, {"name": "NL_text", "dtype": "string"}, {"name": "bbox_tex... | 2023-01-05T07:47:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "results_valid_100rows_2023-01-05"
More Information needed | [
"# Dataset Card for \"results_valid_100rows_2023-01-05\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"results_valid_100rows_2023-01-05\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"results_valid_100rows_2023-01-05\"\n\nMore Information needed"
] |
5c86cb5810cf41501b5e009e68967f021ac5e91d | # Dataset Card for "xquad_ar"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Zaid/xquad_ar | [
"region:us"
] | 2023-01-05T07:17:31+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 1394144.810924... | 2023-01-05T07:17:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xquad_ar"
More Information needed | [
"# Dataset Card for \"xquad_ar\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"xquad_ar\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"xquad_ar\"\n\nMore Information needed"
] |
ad10ba17ccd8c81439459c827f2899b77e45bb69 | # Dataset Card for "xquad_tr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Zaid/xquad_tr | [
"region:us"
] | 2023-01-05T07:18:00+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 979782.9050420... | 2023-01-05T07:18:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xquad_tr"
More Information needed | [
"# Dataset Card for \"xquad_tr\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"xquad_tr\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"xquad_tr\"\n\nMore Information needed"
] |
884b0caaf95649264d7b4ff3052c9566866afcc1 | # Dataset Card for "results_test_50rows_2023-01-05"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joddy/results_test_50rows_2023-01-05 | [
"region:us"
] | 2023-01-05T08:27:23+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "resolution", "dtype": "int64"}, {"name": "attributes_loc", "dtype": {"class_label": {"names": {"0": "upper left", "1": "upper right", "2": "lower left", "3": "lower right"}}}}, {"name": "NL_text", "dtype": "string"}, {"name": "bbox_tex... | 2023-01-05T08:59:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "results_test_50rows_2023-01-05"
More Information needed | [
"# Dataset Card for \"results_test_50rows_2023-01-05\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"results_test_50rows_2023-01-05\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"results_test_50rows_2023-01-05\"\n\nMore Information needed"
] |
b73bb1961701f6d766312a29c292b1a2513b8735 | # Numerical Reasoning
| lintang/numerical_reasoning_arithmetic | [
"region:us"
] | 2023-01-05T08:48:37+00:00 | {} | 2023-01-09T06:33:43+00:00 | [] | [] | TAGS
#region-us
| # Numerical Reasoning
| [
"# Numerical Reasoning"
] | [
"TAGS\n#region-us \n",
"# Numerical Reasoning"
] | [
6,
5
] | [
"passage: TAGS\n#region-us \n# Numerical Reasoning"
] |
07ac45f1d93a401a67420f30959baaceb36c2f26 |
# Датасет перефразировок коротких фраз (читчат+поэзия)
В датасете содержатся правильные и некорректные перефразировки коротких диалоговых реплик ([проект диалоговой системы](https://github.com/Koziev/chatbot))
и фрагментов стихов ([проект генеративной поэзии](https://github.com/Koziev/verslibre)).
Датасет представл... | inkoziev/paraphrases | [
"task_categories:sentence-similarity",
"task_categories:text2text-generation",
"task_ids:semantic-similarity-classification",
"language_creators:expert-generated",
"language:ru",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-01-05T09:08:02+00:00 | {"language_creators": ["expert-generated"], "language": ["ru"], "license": "cc-by-nc-4.0", "task_categories": ["sentence-similarity", "text2text-generation"], "task_ids": ["semantic-similarity-classification"]} | 2023-01-14T13:37:24+00:00 | [] | [
"ru"
] | TAGS
#task_categories-sentence-similarity #task_categories-text2text-generation #task_ids-semantic-similarity-classification #language_creators-expert-generated #language-Russian #license-cc-by-nc-4.0 #region-us
|
# Датасет перефразировок коротких фраз (читчат+поэзия)
В датасете содержатся правильные и некорректные перефразировки коротких диалоговых реплик (проект диалоговой системы)
и фрагментов стихов (проект генеративной поэзии).
Датасет представляет из себя список сэмплов-кортежей. Каждый сэмпл состоит из двух списков:
... | [
"# Датасет перефразировок коротких фраз (читчат+поэзия)\n\nВ датасете содержатся правильные и некорректные перефразировки коротких диалоговых реплик (проект диалоговой системы)\nи фрагментов стихов (проект генеративной поэзии).\n\nДатасет представляет из себя список сэмплов-кортежей. Каждый сэмпл состоит из двух сп... | [
"TAGS\n#task_categories-sentence-similarity #task_categories-text2text-generation #task_ids-semantic-similarity-classification #language_creators-expert-generated #language-Russian #license-cc-by-nc-4.0 #region-us \n",
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ea4ed1143e4baabdaf3a91db95a019e8a9c8a5b0 | hand-collected set of 57817 pics mostly from russian internet. pics without captions.
датасет из тех самых "прикольных картинок" с дисков и т.п. все картинки с корневой директории полностью собраны ручками. не размечен. | 4eJIoBek/gazik-pics-57k | [
"task_categories:unconditional-image-generation",
"size_categories:10K<n<100K",
"license:wtfpl",
"region:us"
] | 2023-01-05T09:08:04+00:00 | {"license": "wtfpl", "size_categories": ["10K<n<100K"], "task_categories": ["unconditional-image-generation"]} | 2023-02-27T15:50:32+00:00 | [] | [] | TAGS
#task_categories-unconditional-image-generation #size_categories-10K<n<100K #license-wtfpl #region-us
| hand-collected set of 57817 pics mostly from russian internet. pics without captions.
датасет из тех самых "прикольных картинок" с дисков и т.п. все картинки с корневой директории полностью собраны ручками. не размечен. | [] | [
"TAGS\n#task_categories-unconditional-image-generation #size_categories-10K<n<100K #license-wtfpl #region-us \n"
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3bf0d4f677da2344fd879104e25b92f3eb2eb9ed |
Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD
================================================================
[](https://zenodo.org/badge/latestdoi/199083745)
This is a detailed description of the dataset, a
*datasheet for the dataset* as proposed by... | thsant/wgisd | [
"task_categories:object-detection",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
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"size_categories:1K<n<10K",
"source_datasets:original",
"license:cc-by-nc-4.0",
"agriculture",
"viticulture",
"fruit detection",
"arxiv:1803.09010",
... | 2023-01-05T12:01:39+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": [], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["object-detection"], "task_ids": [], "pretty_name": "Embrapa Wi... | 2023-01-05T17:24:09+00:00 | [
"1803.09010",
"1907.11819"
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#task_categories-object-detection #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #license-cc-by-nc-4.0 #agriculture #viticulture #fruit detection #arxiv-1803.09010 #arxiv-1907.11819 #region-us
| Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD
================================================================
![DOI](URL
This is a detailed description of the dataset, a
*datasheet for the dataset* as proposed by Gebru *et al.*
Motivation for Dataset Creation
-------------------------------
... | [
"### Why was the dataset created?\n\n\nEmbrapa WGISD (*Wine Grape Instance Segmentation Dataset*) was created\nto provide images and annotation to study *object detection and instance\nsegmentation* for image-based monitoring and field robotics in\nviticulture. It provides instances from five different grape variet... | [
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0296ef2a4d400dbfa492c14b2b857c999fc3523a | 11,5k russian books in txt format, divided by genres
11,5 тыщ книг русской литературы. датасет сделан из древнющего диска "lib in poc" | 4eJIoBek/ru-libinpoc-11k | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"license:mit",
"region:us"
] | 2023-01-05T12:44:21+00:00 | {"license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"]} | 2023-01-09T22:45:47+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-10K<n<100K #license-mit #region-us
| 11,5k russian books in txt format, divided by genres
11,5 тыщ книг русской литературы. датасет сделан из древнющего диска "lib in poc" | [] | [
"TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #license-mit #region-us \n"
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000dd81e685f6c10da8d2c37bd71c2fef0e92d59 | # Dataset Card for "txt_to_gls_dts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fuyulinh04/txt_to_gls_dts | [
"region:us"
] | 2023-01-05T13:45:16+00:00 | {"dataset_info": {"features": [{"name": "gloss", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10780088.8, "num_examples": 70168}, {"name": "test", "num_bytes": 2695022.2, "num_examples": 17542}], "download_size": 8157820, "dataset_size": 13475111.0}} | 2023-01-05T18:34:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "txt_to_gls_dts"
More Information needed | [
"# Dataset Card for \"txt_to_gls_dts\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"txt_to_gls_dts\"\n\nMore Information needed"
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116c215bb0817203a5255ba5a819b7b40c25a1fa | # Dataset Card for "diachronia-ocr-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Zombely/diachronia-ocr-train | [
"region:us"
] | 2023-01-05T14:12:17+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 51407894.0, "num_examples": 50}, {"name": "validation", "num_bytes": 10945929.0, "num_examples": 9}], "download_size": 62342762, "dataset_size": 62353823.0}} | 2023-01-05T14:12:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "diachronia-ocr-train"
More Information needed | [
"# Dataset Card for \"diachronia-ocr-train\"\n\nMore Information needed"
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45e708d930ce42706461bd0f87d2b8dbbca42664 | # Dataset Card for "News"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vencortex/News | [
"region:us"
] | 2023-01-05T14:13:58+00:00 | {"dataset_info": {"features": [{"name": "symbol", "dtype": "string"}, {"name": "publishedDate", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "image", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "type", "... | 2023-01-05T14:14:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "News"
More Information needed | [
"# Dataset Card for \"News\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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1f6b50c209aa111cf7e209f3840ddd408ae55afd | # Dataset Card for "test_6k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pyakymenko/test_6k | [
"region:us"
] | 2023-01-05T14:33:32+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 475682224.444, "num_examples": 6661}], "download_size": 473720429, "dataset_size": 475682224.444}} | 2023-01-05T14:50:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_6k"
More Information needed | [
"# Dataset Card for \"test_6k\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"test_6k\"\n\nMore Information needed"
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dbe96e27d52c70eb0067de744fb5608199d31656 | # Dataset Card for "6k_mp3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arnepeine/6k_mp3 | [
"region:us"
] | 2023-01-05T14:54:25+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 475682224.444, "num_examples": 6661}], "download_size": 473720429, "dataset_size": 475682224.444}} | 2023-01-05T15:02:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "6k_mp3"
More Information needed | [
"# Dataset Card for \"6k_mp3\"\n\nMore Information needed"
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92d4a4aed4d949023ea948840a94b368447b7f9f |
# Dataset Card for ScienceIE
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | DFKI-SLT/science_ie | [
"task_categories:token-classification",
"task_categories:text-classification",
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"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"... | 2023-01-05T15:32:00+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["token-classification", "text-classification"], "task_ids": ["named-entity-recognition"... | 2023-01-19T11:26:55+00:00 | [
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==========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Sour... | [
"### Dataset Summary\n\n\nScienceIE is a dataset for the SemEval task of extracting key phrases and relations between them from scientific documents.\nA corpus for the task was built from ScienceDirect open access publications and was available freely for participants, without the need to sign a copyright agreement... | [
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6336d79bd2837d8b278104c852dba600c6abcea6 | # Oracle
These are scanned images of imaginative text, similar to Chinese oracles, created by the great artist Meiling Han. This dataset can be fed into Generative Adversarial Network to produce similar characters for creating modern art.
| KokeCacao/oracle | [
"region:us"
] | 2023-01-05T15:36:40+00:00 | {} | 2023-01-05T16:02:50+00:00 | [] | [] | TAGS
#region-us
| # Oracle
These are scanned images of imaginative text, similar to Chinese oracles, created by the great artist Meiling Han. This dataset can be fed into Generative Adversarial Network to produce similar characters for creating modern art.
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] |
925662cc6c2e4577b23143658b507b6b8622512c | # Dataset Card for aeroBERT-NER
## Dataset Description
- **Paper:** aeroBERT-NER: Named-Entity Recognition for Aerospace Requirements Engineering using BERT
- **Point of Contact:** archanatikayatray@gmail.com
### Dataset Summary
This dataset contains sentences from the aerospace requirements domain. The sentences a... | archanatikayatray/aeroBERT-NER | [
"task_categories:token-classification",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"NER",
"Aerospace",
"ORG",
"SYS",
"DATETIME",
"RESOURCE",
"VALUE",
"doi:10.57967/hf/0470",
"region:us"
] | 2023-01-05T15:43:58+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["token-classification"], "pretty_name": "all_text_annotation_NER.txt", "tags": ["NER", "Aerospace", "ORG", "SYS", "DATETIME", "RESOURCE", "VALUE"]} | 2023-05-20T21:40:58+00:00 | [] | [
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| Dataset Card for aeroBERT-NER
=============================
Dataset Description
-------------------
* Paper: aeroBERT-NER: Named-Entity Recognition for Aerospace Requirements Engineering using BERT
* Point of Contact: archanatikayatray@URL
### Dataset Summary
This dataset contains sentences from the aerospace r... | [
"### Dataset Summary\n\n\nThis dataset contains sentences from the aerospace requirements domain. The sentences are tagged for five NER categories (SYS, VAL, ORG, DATETIME, and RES) using the BIO tagging scheme.\nThere are a total of 1432 sentences. The creation of this dataset is aimed at - \n\n(1) Making availa... | [
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b801fd035e0f2eeda6d356db4a485791fd3c64d7 |
# Dataset Card for UIBert
## Dataset Description
- **Homepage:** https://github.com/google-research-datasets/uibert
- **Repository:** https://github.com/google-research-datasets/uibert
- **Paper:** https://arxiv.org/abs/2107.13731
- **Leaderboard:**
- UIBert: https://arxiv.org/abs/2107.13731
- Pix2Struct: https:... | ivelin/ui_refexp | [
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|
# Dataset Card for UIBert
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
- Leaderboard:
- UIBert: URL
- Pix2Struct: URL
### Dataset Summary
This is a Hugging Face formatted dataset derived from the Google UIBert dataset, which is in turn derived from the RICO dataset.
### Supported Task... | [
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6e6baf9444ff16c5a1131c73fb510adc73319b3a | # Dataset Card for "subj_multi"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bstrai/subj_multi | [
"region:us"
] | 2023-01-05T16:35:39+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "objective", "1": "subjective"}}}}, {"name": "language", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 2914488, "num_examples": 16000}, {"name": "train", "num_bytes": 11518066, ... | 2023-01-17T17:17:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "subj_multi"
More Information needed | [
"# Dataset Card for \"subj_multi\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"subj_multi\"\n\nMore Information needed"
] |
0f29b41e2ee582182ccfc9413342d7f3d411c67b | # AutoTrain Dataset for project: code-explainer
## Dataset Description
This dataset has been automatically processed by AutoTrain for project code-explainer.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```j... | sagard21/autotrain-data-code-explainer | [
"task_categories:summarization",
"region:us"
] | 2023-01-05T18:02:20+00:00 | {"task_categories": ["summarization"]} | 2023-01-05T18:03:02+00:00 | [] | [] | TAGS
#task_categories-summarization #region-us
| AutoTrain Dataset for project: code-explainer
=============================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project code-explainer.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
--------... | [
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f62a921ce2d9906c5d41db2631381fcc6a9e2c06 | # Dataset Card for "hearthstone-cards-512"
# Not affiliated in anyway with Blizzard nor Hearthstone
# Please note that this entrie dataset contains copyrighted matirial | Norod78/hearthstone-cards-512 | [
"task_categories:text-to-image",
"size_categories:n<10K",
"blizzard",
"hearthstone",
"game cards",
"region:us"
] | 2023-01-05T18:41:08+00:00 | {"size_categories": ["n<10K"], "task_categories": ["text-to-image"], "pretty_name": "Blizzard Hearthstone cards, resized to 512x512 with OCR text field", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 230518521.36, "num_... | 2023-01-05T18:48:19+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<10K #blizzard #hearthstone #game cards #region-us
| # Dataset Card for "hearthstone-cards-512"
# Not affiliated in anyway with Blizzard nor Hearthstone
# Please note that this entrie dataset contains copyrighted matirial | [
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] |
81483a2eb455bc5c5afa925f8ab2dc9976b99ff6 | Imppres, but it works
https://github.com/facebookresearch/Imppres
```
@inproceedings{jeretic-etal-2020-natural,
title = "Are Natural Language Inference Models {IMPPRESsive}? {L}earning {IMPlicature} and {PRESupposition}",
author = "Jereti\v{c}, Paloma and
Warstadt, Alex and
Bhooshan, Suvrat and
... | tasksource/imppres | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-01-05T20:14:45+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-classification"], "task_ids": ["natural-language-inference"]} | 2023-06-21T11:52:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-natural-language-inference #language-English #license-apache-2.0 #region-us
| Imppres, but it works
URL
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03f4167589d129223f29c61e324311c80df56b8e | # Dataset Card for "dataset_glstxt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fuyulinh04/dataset_glstxt | [
"region:us"
] | 2023-01-05T23:20:43+00:00 | {"dataset_info": {"features": [{"name": "gloss", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11227076.8, "num_examples": 73696}, {"name": "test", "num_bytes": 2806769.2, "num_examples": 18424}], "download_size": 8513566, "dataset_size": 14033846.0}} | 2023-01-05T23:21:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_glstxt"
More Information needed | [
"# Dataset Card for \"dataset_glstxt\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"dataset_glstxt\"\n\nMore Information needed"
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abc389e1efad2be4e2d214b7af0d775217a3a188 |
# Character Embedding - Princess Tutu/Ahiru
## Usage
To use an embedding, download the .pt file and place it in "\stable-diffusion-webui\embeddings".
In your prompt, write ```"princess_tutu-... | kxly/princess_tutu | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-06T02:00:33+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "pretty_name": "Princess Tutu", "thumbnail": "https://huggingface.co/datasets/kxly/princess_tutu/blob/main/princess_tutu_showcase.png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-06T02:55:47+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# Character Embedding - Princess Tutu/Ahiru
!princess_tutu_showcase.png
## Usage
To use an embedding, download the .pt file and place it in "\stable-diffusion-webui\embeddings".
In your prompt, write .
## License
This embedding is open access and available to all, with a CreativeML OpenRAIL-M license further spe... | [
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38ff03d68347aaf694e598c50cb164191f50f61c |
# Dataset Card for DrugProt
## Dataset Description
- **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,RE
The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships
be... | bigbio/drugprot | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-01-06T03:27:49+00:00 | {"language": ["en"], "license": "cc-by-4.0", "multilinguality": "monolingual", "pretty_name": "DrugProt", "bigbio_language": ["English"], "bigbio_license_shortname": "CC_BY_4p0", "homepage": "https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/", "bigbio_pubmed": true, "bigbio_public": true, "bigb... | 2023-01-06T03:30:02+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for DrugProt
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,RE
The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships
between them corresponding to a specific set of biologically relevant relation types. The... | [
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970237b9a7497de2e3a925113b8c20be87a3abf5 |
# Dataset Card for CPI
## Dataset Description
- **Homepage:** https://github.com/KerstenDoering/CPI-Pipeline
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED,RE
The compound-protein relationship (CPI) dataset consists of 2,613 sentences
from abstracts containing annotations of proteins, small molecules... | bigbio/cpi | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | 2023-01-06T03:44:03+00:00 | {"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "CPI", "bigbio_language": ["English"], "bigbio_license_shortname": "ISC", "homepage": "https://github.com/KerstenDoering/CPI-Pipeline", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "NA... | 2023-01-06T03:46:05+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #language-English #license-other #region-us
|
# Dataset Card for CPI
## Dataset Description
- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER,NED,RE
The compound-protein relationship (CPI) dataset consists of 2,613 sentences
from abstracts containing annotations of proteins, small molecules, and their
relationships.
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0294b3bd3bfc4586f9e0be72ff5218deb032f8e0 | # Dataset Card for "arxiv_mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | xvjiarui/arxiv_mini | [
"region:us"
] | 2023-01-06T03:55:50+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3966992.0, "num_examples": 11}, {"name": "validation", "num_bytes": 7430590.0, "num_examples": 21}], "download_size": 11396049, "dataset_size": 11397582.0}} | 2023-01-06T03:56:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "arxiv_mini"
More Information needed | [
"# Dataset Card for \"arxiv_mini\"\n\nMore Information needed"
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7b26911122fc049fec6a89a3e8b8d59f41e9fafe | # Dataset Card for "dreambooth-hackathon-images-srkman-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Xhaheen/dreambooth-hackathon-images-srkman-2 | [
"region:us"
] | 2023-01-06T04:14:08+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 4082680.0, "num_examples": 20}], "download_size": 4081453, "dataset_size": 4082680.0}} | 2023-01-06T04:14:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-images-srkman-2"
More Information needed | [
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c06d338555dc45ca0beeaa1359170e3464a52c8d | # Dataset Card for "blah"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | deepaksingh/blah | [
"region:us"
] | 2023-01-06T04:35:21+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "10k", "1": "2.5k", "2": "5k"}}}}], "splits": [{"name": "train", "num_bytes": 888512750.0, "num_examples": 348}], "download_size": 888503946, "dataset_size": 888512750.0}} | 2023-01-06T04:39:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "blah"
More Information needed | [
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4ae21f679f3b2fdb2102f04d9ef104bbdc8714b9 | # Green patents dataset
- num_rows: 9145
- features: [title, label]
- label: 0, 1
The dataset contains patent titles that are labeled as 1 (="green") and 0 (="not green").
"green" patents titles were gathered by searching for CPC class "Y02" with Google Patents (query: "status:APPLICATION type:PATENT (Y02) country:E... | cwinkler/green_patents | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | 2023-01-06T06:12:33+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"]} | 2023-01-08T09:16:25+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #region-us
| # Green patents dataset
- num_rows: 9145
- features: [title, label]
- label: 0, 1
The dataset contains patent titles that are labeled as 1 (="green") and 0 (="not green").
"green" patents titles were gathered by searching for CPC class "Y02" with Google Patents (query: "status:APPLICATION type:PATENT (Y02) country:E... | [
"# Green patents dataset\n\n- num_rows: 9145\n- features: [title, label]\n- label: 0, 1\n\nThe dataset contains patent titles that are labeled as 1 (=\"green\") and 0 (=\"not green\").\n\n\"green\" patents titles were gathered by searching for CPC class \"Y02\" with Google Patents (query: \"status:APPLICATION type:... | [
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d591b39ccd6886510e7b1957542c7855cc1b81c8 | # Dataset Card for "dreambooth-hackathon-owczarek"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | misza222/dreambooth-hackathon-owczarek | [
"region:us"
] | 2023-01-06T06:21:34+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 3487329.0, "num_examples": 16}], "download_size": 3488676, "dataset_size": 3487329.0}} | 2023-01-06T06:21:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-owczarek"
More Information needed | [
"# Dataset Card for \"dreambooth-hackathon-owczarek\"\n\nMore Information needed"
] | [
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26fbfb87fab0216775081b969468814000ea1b70 | # Dataset Card for "bookcorpus_compact_1024_shard0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard0_of_10 | [
"region:us"
] | 2023-01-06T07:01:59+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 738086319, "num_examples": 61605}], "download_size": 371729131, "dataset_size": 738086319}} | 2023-01-06T07:02:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard0"
More Information needed | [
"# Dataset Card for \"bookcorpus_compact_1024_shard0\"\n\nMore Information needed"
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1022bb8dace895db459f90f31ad27f486d80e13e | # Dataset Card for HunSum-1
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
##... | SZTAKI-HLT/HunSum-1 | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"multilinguality:monolingual",
"language:hu",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-01-06T07:42:26+00:00 | {"language": ["hu"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "task_categories": ["summarization"], "task_ids": ["news-articles-summarization"], "pretty_name": "HunSum-1"} | 2023-01-24T16:21:00+00:00 | [] | [
"hu"
] | TAGS
#task_categories-summarization #task_ids-news-articles-summarization #multilinguality-monolingual #language-Hungarian #license-cc-by-nc-sa-4.0 #region-us
| Dataset Card for HunSum-1
=========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* Dataset Structure
+ Data Fields
+ Data Splits
Dataset Description
-------------------
### Dataset Summary
The HunSum-1 Dataset is a Hungarian... | [
"### Dataset Summary\n\n\nThe HunSum-1 Dataset is a Hungarian-language dataset containing over 1.1M unique news articles with lead and other metadata. The dataset contains articles from 9 major Hungarian news websites.",
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dd7cea1a69b543124ba399fb14981d530b0acc2a | # Dataset Card for "bookcorpus_compact_1024_shard1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard1_of_10 | [
"region:us"
] | 2023-01-06T07:48:43+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 733627676, "num_examples": 61605}], "download_size": 367870833, "dataset_size": 733627676}} | 2023-01-06T07:49:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard1"
More Information needed | [
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1b6b830016de70123bff37b29dfc2525ace9a3cc | # Dataset Card for "bookcorpus_compact_1024_shard3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard3_of_10 | [
"region:us"
] | 2023-01-06T08:25:12+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "concept_with_offset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 764655737, "num_examples": 61605}], "download_size": 384654577, "dataset_size": 764655737}} | 2023-01-06T08:27:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard3"
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5262bf3395485bbc0fa6de9bf9edf373e9be7b21 | # Dataset Card for "rico-screen2words"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pinkmooncake/rico-screen2words | [
"region:us"
] | 2023-01-06T09:09:06+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 454423304.26, "num_examples": 4310}, {"name": "dev", "num_bytes": 246957743.116, "num_examples": 2364}, {"name": "train", "num_bytes": 1737030544.084, "num_examples": 15743}... | 2023-01-07T04:18:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rico-screen2words"
More Information needed | [
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adeab69db72d52c045035039b6c64367ced4e007 | # Dataset Card for "bookcorpus_compact_1024_shard2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_compact_1024_shard2_of_10 | [
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#region-us
| # Dataset Card for "bookcorpus_compact_1024_shard2"
More Information needed | [
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de29ae7533b3715ab0d1e3cb191316d01c8c3664 | # Dataset Card for "flurocells"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zlgao/flurocells | [
"region:us"
] | 2023-01-06T09:29:48+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "mcf7", "1": "mda231"}}}}], "splits": [{"name": "train", "num_bytes": 165402692.0, "num_examples": 203}], "download_size": 165410090, "dataset_size": 165402692.0}} | 2023-01-06T09:30:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "flurocells"
More Information needed | [
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bf375d06223db27a1d2481ff985cdb1163e696b1 | # Dataset Card for "xquad_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Zaid/xquad_en | [
"region:us"
] | 2023-01-06T10:05:48+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 903196.0815126... | 2023-01-06T10:06:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xquad_en"
More Information needed | [
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ea10a33abb1dc44fff19d29c078181ca7ffa94df | # Dataset Card for "xquad_ru"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Zaid/xquad_ru | [
"region:us"
] | 2023-01-06T10:06:47+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 1729326.267226... | 2023-01-06T10:07:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "xquad_ru"
More Information needed | [
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474545964b7f14653e5de4d58cd465c5ec05e89d | # AutoTrain Dataset for project: real-vs-fake-news
## Dataset Description
This dataset has been automatically processed by AutoTrain for project real-vs-fake-news.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:... | Eip/autotrain-data-real-vs-fake-news | [
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#task_categories-text-classification #region-us
| AutoTrain Dataset for project: real-vs-fake-news
================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project real-vs-fake-news.
### Languages
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abad918fd61f5712ff030733993a4023ace37193 | # Dataset Card for "nature128_1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mertcobanov/nature128_1k | [
"region:us"
] | 2023-01-06T10:35:28+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "07968_Plantae_Tracheophyta_Magnoliopsida_Fabales_Fabaceae_Hardenbergia_violacea", "1": "07969_Plantae_Tracheophyta_Magnoliopsida_Fabales_Fabaceae_Hedysarum_alpinum", "2": "07970_Plantae_Trache... | 2023-01-06T10:37:33+00:00 | [] | [] | TAGS
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658b0a48276f029ac6907647ee9e1b76e896d1fc | # Dataset Card for "temp_repo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pyakymenko/temp_repo | [
"region:us"
] | 2023-01-06T11:41:52+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 226855.0, "num_examples": 4}], "download_size": 0, "dataset_size": 226855.0}} | 2023-01-06T12:03:02+00:00 | [] | [] | TAGS
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7276a5670ff72438e60ac95c54e5ed25672bae30 | # Dataset Card for "gids"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | DFKI-SLT/gids | [
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| Dataset Card for "gids"
=======================
Table of Contents
-----------------
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* Dataset Description
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+ Supported Tasks and Leaderboards
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+ Data Instances
+ Data Fields
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617b89fed951bf7702c2e688c8dadc6a1cd64787 | # Dataset Card for "kbp37"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | DFKI-SLT/kbp37 | [
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| Dataset Card for "kbp37"
========================
Table of Contents
-----------------
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+ Supported Tasks and Leaderboards
+ Languages
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+ Data Instances
+ Data Fields
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* Dataset Creation
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93a61f1639ee7e810abc309dc6ac345c0b8affa9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/tglobal-large-booksum-WIP4-r1
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: pszemraj/tglobal-large-booksum-WIP4-r1
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
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93858a3e4e331c5ac6da0d49fbc77268fab96f69 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
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* Model: pszemraj/tglobal-large-booksum-WIP4-r1
* Dataset: samsum
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Config: samsum
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d050610418f468b8774c9f1f6ca812515e170d20 | This repository holds embeddings for Stable Diffusion 2 768 | Zabin/SD2_768_Embedding | [
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] | 2023-01-06T13:14:55+00:00 | {} | 2023-01-21T06:08:15+00:00 | [] | [] | TAGS
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| This repository holds embeddings for Stable Diffusion 2 768 | [] | [
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b6a4440982231c4bf33321bae7d26784504afc04 | # Dataset Card for "test_repo_111"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arnepeine/test_repo_111 | [
"region:us"
] | 2023-01-06T13:28:55+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39116602.0, "num_examples": 502}], "download_size": 38127697, "dataset_size": 39116602.0}} | 2023-01-07T09:39:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_repo_111"
More Information needed | [
"# Dataset Card for \"test_repo_111\"\n\nMore Information needed"
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a677a23997beb9f0339567b4a7d1e567a9609765 | # Dataset Card for "owczpodh-dog-results"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | misza222/owczpodh-dog-results | [
"region:us"
] | 2023-01-06T13:44:44+00:00 | {"dataset_info": {"features": [{"name": "images", "dtype": "image"}, {"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3813312.0, "num_examples": 8}], "download_size": 3814513, "dataset_size": 3813312.0}} | 2023-01-06T13:49:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "owczpodh-dog-results"
More Information needed | [
"# Dataset Card for \"owczpodh-dog-results\"\n\nMore Information needed"
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ac561acc3a27ad78d0f159393f048140d6308dab | # Dataset Card for "OwczarekPodhalanski-dog-lr1e-06-max_train_steps1200-results"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | misza222/OwczarekPodhalanski-dog-lr1e-06-max_train_steps800-results | [
"region:us"
] | 2023-01-06T14:26:49+00:00 | {"dataset_info": {"features": [{"name": "images", "dtype": "image"}, {"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5281596.0, "num_examples": 12}], "download_size": 5282716, "dataset_size": 5281596.0}} | 2023-01-06T14:27:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OwczarekPodhalanski-dog-lr1e-06-max_train_steps1200-results"
More Information needed | [
"# Dataset Card for \"OwczarekPodhalanski-dog-lr1e-06-max_train_steps1200-results\"\n\nMore Information needed"
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c3741a66c486b1a23beefdf6c75b06dba288d4f9 |
__ODEX__ is an Open-Domain EXecution-based NL-to-Code generation data benchmark.
It contains 945 samples with a total of 1,707 human-written test cases, covering intents in four different natural languages -- 439 in English, 90 in Spanish, 164 in Japanese, and 252 in Russian.
You can load the dataset by specifying... | neulab/odex | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"language:es",
"language:ja",
"language:ru",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-06T14:30:00+00:00 | {"language": ["en", "es", "ja", "ru"], "license": "cc-by-sa-4.0", "size_categories": ["n<1K"], "task_categories": ["text2text-generation", "text-generation"]} | 2023-02-10T18:01:34+00:00 | [] | [
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#task_categories-text2text-generation #task_categories-text-generation #size_categories-n<1K #language-English #language-Spanish #language-Japanese #language-Russian #license-cc-by-sa-4.0 #region-us
|
__ODEX__ is an Open-Domain EXecution-based NL-to-Code generation data benchmark.
It contains 945 samples with a total of 1,707 human-written test cases, covering intents in four different natural languages -- 439 in English, 90 in Spanish, 164 in Japanese, and 252 in Russian.
You can load the dataset by specifying... | [] | [
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] |
649356656e0639acacea52ee9986c421c6196a6e | # Dataset Card for "OwczarekPodhalanski-dog-lr1e-06-max_train_steps1200-results"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | misza222/OwczarekPodhalanski-dog-lr1e-06-max_train_steps1200-results | [
"region:us"
] | 2023-01-06T14:37:09+00:00 | {"dataset_info": {"features": [{"name": "images", "dtype": "image"}, {"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2753767.0, "num_examples": 6}], "download_size": 2755049, "dataset_size": 2753767.0}} | 2023-01-06T16:09:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OwczarekPodhalanski-dog-lr1e-06-max_train_steps1200-results"
More Information needed | [
"# Dataset Card for \"OwczarekPodhalanski-dog-lr1e-06-max_train_steps1200-results\"\n\nMore Information needed"
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a81c149b02cbb87a7d5f3fa37ff1edf01bebda76 | # Dataset Card for "dreambooth-hackathon-Daphnia"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | misza222/dreambooth-hackathon-Daphnia | [
"region:us"
] | 2023-01-06T15:02:34+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 2288884.0, "num_examples": 9}], "download_size": 2242120, "dataset_size": 2288884.0}} | 2023-01-06T15:02:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-Daphnia"
More Information needed | [
"# Dataset Card for \"dreambooth-hackathon-Daphnia\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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f6b53caa62bc535e9e71ab39541de447a25e055a | # Dataset Card for "SBC_segmented"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | NathanRoll/SBC_segmented | [
"region:us"
] | 2023-01-06T15:17:33+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4103960228.735, "num_examples": 8573}, {"name": "test", "num_bytes": 318277804.0, "num_examples": 728}], "download_size": 3703460386, "dataset_size": 4422238032.735001}... | 2023-01-12T21:03:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SBC_segmented"
More Information needed | [
"# Dataset Card for \"SBC_segmented\"\n\nMore Information needed"
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30a01d83ee8f222d39c37f261cc75ce5a89188b6 | # Dataset Card for "dreambooth-hackathon-RobertMazurek"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | misza222/dreambooth-hackathon-RobertMazurek | [
"region:us"
] | 2023-01-06T15:50:20+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1320903.0, "num_examples": 12}], "download_size": 1321819, "dataset_size": 1320903.0}} | 2023-01-06T15:50:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dreambooth-hackathon-RobertMazurek"
More Information needed | [
"# Dataset Card for \"dreambooth-hackathon-RobertMazurek\"\n\nMore Information needed"
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c5c38c2398d4bde5fbb2a30f7036a9a2a9c1a829 | ## Testing | 0x0x0/autotrain-data-giri | [
"region:us"
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3a92822cb07f4d7d054896232fd8869a13d15d81 |
# Dataset Card for Multilingual Grammar Error Correction
## Dataset Description
- **Homepage:** https://juancavallotti.com
- **Paper:** https://blog.juancavallotti.com/2023/01/06/training-a-multi-language-grammar-error-correction-system/
- **Point of Contact:** Juan Alberto López Cavallotti
### Dataset Summary
Thi... | juancavallotti/multilingual-gec | [
"task_categories:translation",
"size_categories:100K<n<1M",
"language:en",
"language:es",
"language:fr",
"language:de",
"license:apache-2.0",
"grammar",
"gec",
"multi language",
"language detection",
"region:us"
] | 2023-01-06T16:07:20+00:00 | {"language": ["en", "es", "fr", "de"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["translation"], "pretty_name": "Multi Lingual Grammar Error Correction Dataset", "author": "Juan Alberto L\u00f3pez Cavallotti", "date": "Jan 6, 2023", "tags": ["grammar", "gec", "multi language", "lang... | 2023-01-06T18:59:59+00:00 | [] | [
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#task_categories-translation #size_categories-100K<n<1M #language-English #language-Spanish #language-French #language-German #license-apache-2.0 #grammar #gec #multi language #language detection #region-us
|
# Dataset Card for Multilingual Grammar Error Correction
## Dataset Description
- Homepage: URL
- Paper: URL
- Point of Contact: Juan Alberto López Cavallotti
### Dataset Summary
This dataset can be used to train a transformer model (we used T5) to correct grammar errors in simple sentences written in English, Spa... | [
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66c85606ecdd55bcf2c7d44145e966a3fdba0b28 | # Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset S... | Achitha/tamildata | [
"task_categories:automatic-speech-recognition",
"language:ta",
"region:us"
] | 2023-01-06T17:10:31+00:00 | {"language": ["ta"], "task_categories": ["automatic-speech-recognition"], "pretty_name": "tamildata"} | 2023-01-08T15:35:38+00:00 | [] | [
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#task_categories-automatic-speech-recognition #language-Tamil #region-us
| # Dataset Card for Dataset Name
## Dataset Description
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9f62b44bacade997a5b23ec05fb37874013e4010 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/tglobal-large-booksum-WIP3-K-r4
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-ee4836-2761681799 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/tglobal-large-booksum-WIP3-K-r4
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit Hugg... | [
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4fcb5b9a0332dda9b7a80d7a4ebc15fb337b9e0b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/tglobal-large-booksum-WIP3-K-r4
* Dataset: samsum
* Config: samsum
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To run new evaluati... | autoevaluate/autoeval-eval-samsum-samsum-b53b11-2761781800 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/tglobal-large-booksum-WIP3-K-r4
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's automa... | [
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e96e7541e24931c5a2b7d0018865b666ad5dca0f | # Dataset Card for "pubtator-central-bigbio-kb-2022-12-18"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gabrielaltay/pubtator-central-bigbio-kb-2022-12-18 | [
"region:us"
] | 2023-01-07T05:19:49+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "document_id", "dtype": "string"}, {"name": "passages", "list": [{"name": "id", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "text", "sequence": "string"}, {"name": "offsets", "sequence": {"list": "int32"}}]}, {"name": "enti... | 2023-01-07T05:51:13+00:00 | [] | [] | TAGS
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| # Dataset Card for "pubtator-central-bigbio-kb-2022-12-18"
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6fc10e1dafa2047633e1376b0324ae11c61ad30b |
# Style Embedding - illl_liil
## Usage
To use an embedding, download the .pt file and place it in "\stable-diffusion-webui\embeddings".
In your prompt, write ```"illl_liil_style-15000"```.
## O... | kxly/illl_liil_style | [
"language:en",
"license:creativeml-openrail-m",
"stable-diffusion",
"text-to-image",
"image-to-image",
"region:us"
] | 2023-01-07T07:39:31+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "pretty_name": "illl_liil Style", "thumbnail": "https://huggingface.co/datasets/kxly/illl_liil_style/blob/main/illl_liil_showcase.png", "tags": ["stable-diffusion", "text-to-image", "image-to-image"], "inference": false} | 2023-01-07T07:47:55+00:00 | [] | [
"en"
] | TAGS
#language-English #license-creativeml-openrail-m #stable-diffusion #text-to-image #image-to-image #region-us
|
# Style Embedding - illl_liil
!illl_liil_showcase.png
## Usage
To use an embedding, download the .pt file and place it in "\stable-diffusion-webui\embeddings".
In your prompt, write .
## Original Artist
URL
## License
This embedding is open access and available to all, with a CreativeML OpenRAIL-M license furt... | [
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4ba4d6bbe054c63542a9d455489f3e6372240167 | # Dataset Card for "mel_spectogram_bird_audio"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rachit8562/mel_spectogram_bird_audio | [
"region:us"
] | 2023-01-07T08:02:49+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Chlorischloris", "1": "Columbapalumbus", "2": "Corvusfrugilegus", "3": "Delichonurbicum", "4": "Dendrocoposmajor", "5": "Passermontanus", "6": "Phoenicurusochruros", "7": "Sittaeuropaea", "8":... | 2023-01-07T08:18:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mel_spectogram_bird_audio"
More Information needed | [
"# Dataset Card for \"mel_spectogram_bird_audio\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mel_spectogram_bird_audio\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mel_spectogram_bird_audio\"\n\nMore Information needed"
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f2708e1df214319cb925fe73d9b229dd9a236b15 | # Dataset Card for "phone-recognition-generated"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nithiwat/phone-recognition-generated | [
"region:us"
] | 2023-01-07T09:22:39+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "ipa", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1355048763.96, "num_examples": 6860}], "download_size": 966944673, "dataset_size": 1355048763.96}} | 2023-01-07T09:49:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "phone-recognition-generated"
More Information needed | [
"# Dataset Card for \"phone-recognition-generated\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"phone-recognition-generated\"\n\nMore Information needed"
] | [
6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"phone-recognition-generated\"\n\nMore Information needed"
] |
75bafc6a17b4bdbf5ae1ea5ef04e3b5e5fd5a01f | # Dataset Card for "new_test_repo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pyakymenko/new_test_repo | [
"region:us"
] | 2023-01-07T09:26:48+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39116602.0, "num_examples": 502}], "download_size": 38127697, "dataset_size": 39116602.0}} | 2023-01-07T09:30:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "new_test_repo"
More Information needed | [
"# Dataset Card for \"new_test_repo\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"new_test_repo\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"new_test_repo\"\n\nMore Information needed"
] |
17a9b72bc74139cc23e543ca03e41e19d82008e4 |
This dataset contains 10 images of asterix and Obelix cartoon characters taken from internet
| nsanghi/axterix-obelix | [
"task_categories:image-to-image",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"asterix",
"diffusion",
"dreambooth",
"region:us"
] | 2023-01-07T10:53:50+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["image-to-image"], "tags": ["asterix", "diffusion", "dreambooth"]} | 2023-01-07T11:00:21+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-image #size_categories-n<1K #language-English #license-apache-2.0 #asterix #diffusion #dreambooth #region-us
|
This dataset contains 10 images of asterix and Obelix cartoon characters taken from internet
| [] | [
"TAGS\n#task_categories-image-to-image #size_categories-n<1K #language-English #license-apache-2.0 #asterix #diffusion #dreambooth #region-us \n"
] | [
51
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"passage: TAGS\n#task_categories-image-to-image #size_categories-n<1K #language-English #license-apache-2.0 #asterix #diffusion #dreambooth #region-us \n"
] |
9b36b13820de339d287a94242dbcfe69a002bd11 | hyper, LoRA | Toraong/Hypernetwork | [
"license:unknown",
"region:us"
] | 2023-01-07T11:09:42+00:00 | {"license": "unknown"} | 2023-03-04T03:18:22+00:00 | [] | [] | TAGS
#license-unknown #region-us
| hyper, LoRA | [] | [
"TAGS\n#license-unknown #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-unknown #region-us \n"
] |
ebac76a1859f28ce4c387f2a3fa84c3138baa9e8 |
# Dataset Card for jacob-soni
## Dataset Description
The dataset contains of images my pet - Jacob, current age of 7 years.
### Dataset Curators
The data has been originally collected by Ashish Soni and his family.
### Licensing Information
The jacob-soni dataset version 1.0.0 is released under the Apache-2... | Ashish08/jacob-soni | [
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"images ",
"pet",
"dog",
"german-shepherd",
"dreambooth-hackathon",
"region:us"
] | 2023-01-07T11:25:50+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "source_datasets": ["original"], "pretty_name": "My Dog - Jacob Soni", "tags": ["images ", "pet", "dog", "german-shepherd", "dreambooth-hackathon"]} | 2023-01-07T15:05:28+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #source_datasets-original #language-English #license-apache-2.0 #images #pet #dog #german-shepherd #dreambooth-hackathon #region-us
|
# Dataset Card for jacob-soni
## Dataset Description
The dataset contains of images my pet - Jacob, current age of 7 years.
### Dataset Curators
The data has been originally collected by Ashish Soni and his family.
### Licensing Information
The jacob-soni dataset version 1.0.0 is released under the Apache-2... | [
"# Dataset Card for jacob-soni",
"## Dataset Description\n\n The dataset contains of images my pet - Jacob, current age of 7 years.",
"### Dataset Curators\n\nThe data has been originally collected by Ashish Soni and his family.",
"### Licensing Information\n\nThe jacob-soni dataset version 1.0.0 is released ... | [
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"## Dataset Description\n\n The dataset contains of images my pet - Jacob, current age of 7 years.",
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3915caacef63079345383d2ce5ad96b842ee4bfb | # Dataset Card for "eclassTrainST"
This NLI-Dataset can be used to fine-tune Models for the task of sentence-simularity. It consists of names and descriptions of pump-properties from the ECLASS-standard. | gart-labor/eclassTrainST | [
"task_categories:sentence-similarity",
"size_categories:100K<n<1M",
"language:en",
"region:us"
] | 2023-01-07T12:18:12+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["sentence-similarity"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "entailment", "dtype": "string"}, {"name": "contradiction", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train... | 2023-01-07T12:19:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #region-us
| # Dataset Card for "eclassTrainST"
This NLI-Dataset can be used to fine-tune Models for the task of sentence-simularity. It consists of names and descriptions of pump-properties from the ECLASS-standard. | [
"# Dataset Card for \"eclassTrainST\"\n\nThis NLI-Dataset can be used to fine-tune Models for the task of sentence-simularity. It consists of names and descriptions of pump-properties from the ECLASS-standard."
] | [
"TAGS\n#task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #region-us \n",
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56030305503dec3b96cba39bc8f9844b5535be41 | # Dataset Card for "eclassCorpus"
This Dataset consists of names and descriptions from ECLASS-standard pump-properties. It can be used to evaluate models on the task of matching paraphrases to the ECLASS-standard pump-properties based on their semantics. | gart-labor/eclassCorpus | [
"task_categories:sentence-similarity",
"size_categories:n<1K",
"language:en",
"doi:10.57967/hf/0410",
"region:us"
] | 2023-01-07T12:38:01+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["sentence-similarity"], "dataset_info": {"features": [{"name": "did", "dtype": "int64"}, {"name": "query", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "datatype", "dtype": "string"}, {"name": "unit", "dtype": "string"}, {"name":... | 2023-01-07T12:42:19+00:00 | [] | [
"en"
] | TAGS
#task_categories-sentence-similarity #size_categories-n<1K #language-English #doi-10.57967/hf/0410 #region-us
| # Dataset Card for "eclassCorpus"
This Dataset consists of names and descriptions from ECLASS-standard pump-properties. It can be used to evaluate models on the task of matching paraphrases to the ECLASS-standard pump-properties based on their semantics. | [
"# Dataset Card for \"eclassCorpus\"\n\nThis Dataset consists of names and descriptions from ECLASS-standard pump-properties. It can be used to evaluate models on the task of matching paraphrases to the ECLASS-standard pump-properties based on their semantics."
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