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b13373686d536c6a45b0069e96cf83bab72f33db |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-android-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:50:29+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:50:32+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
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cdf2b8c35902f0878ed23f8b77c9cdbd15f3d0b8 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-english-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:52:03+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:52:09+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
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7bc9f799538604098291b78dc27f8de287295697 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-gaming-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:52:15+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:52:18+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
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"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
6cd1d4c86302bccf6a1a884e362dad6a49a4af96 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-gis-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:52:23+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:52:26+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
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86c17b0e3b216cf3b658610fd07ba2f59624a73b |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-mathematica-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:52:31+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:52:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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d00ec7b4129c7106a28a6b311ae5fdba2e45891a |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-physics-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:52:38+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:52:41+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
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6b00f8c5c20225ed7e203b5f4f11ba8d5cd2fc81 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-programmers-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:52:46+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:52:48+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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ba226477db4a8d347624d59274d64d89500ef99e |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-stats-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:52:53+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:52:56+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
"TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
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"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
5f1c8bbc6dbb56a8c7a8813332dd7a38300fdebe |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-tex-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:53:01+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:53:05+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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790844a3d3bc8342b0ad0e35d2f8b397b77b2784 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-unix-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:53:13+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:53:16+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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6f8523361c6b87bd3f9f949b4cb65c323f703de1 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-webmasters-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:53:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:53:24+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVE... | [
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58a61313d0896efecc695368b61ec2b14dff70e7 |
# NFCorpus: 20 generated queries (BEIR Benchmark)
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
- DocT5query model used: [BeIR/query-gen-msmarco-t5-base-v1](https://huggingface.co/BeIR/query-gen-msmarco-t5-base-v1)
- id (str): unique document id... | income/cqadupstack-wordpress-top-20-gen-queries | [
"task_categories:text-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T19:53:30+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": {"msmarco": ["1M<n<10M"], "trec-covid": ["100k<n<1M"], "nfcorpus": ["1K<n<10K"], "nq": ["1M<n<10M"], "hotpotqa": ["1M<n<10M"], "fiqa": ["10K<n<100K"], "arguana": ... | 2023-01-24T19:53:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us
| NFCorpus: 20 generated queries (BEIR Benchmark)
===============================================
This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.
* DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1
* id (str): unique document id in NFCorpus ... | [
"### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-FEVER, SciFact\n* Question-Answering: NQ, HotpotQA, FiQA-2018\n* Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus\n* News Retrieval: T... | [
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"passage: TAGS\n#task_categories-text-retrieval #multilinguality-monolingual #language-English #license-cc-by-sa-4.0 #region-us \n### Dataset Summary\n\n\nBEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:\n\n\n* Fact-checking: FEVER, Climate-F... |
17af9355ef89fba60de966eabaeba797c695f86e | Original dataset introduced by Jin et al. in [What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams](https://paperswithcode.com/paper/what-disease-does-this-patient-have-a-large)
<h4>Citation information:</h4>
@article{jin2020disease,
title={What Diseas... | GBaker/MedQA-USMLE-4-options-hf | [
"license:cc-by-sa-4.0",
"region:us"
] | 2023-01-24T20:32:54+00:00 | {"license": "cc-by-sa-4.0"} | 2023-01-30T22:57:33+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
| Original dataset introduced by Jin et al. in What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
<h4>Citation information:</h4>
@article{jin2020disease,
title={What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset f... | [] | [
"TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n"
] |
23ff83b18ed76882f3af1a403a7c464b72efcd86 | ERROR: type should be string, got "\nhttps://github.com/allenai/csqa2\n\n```\n@article{talmor2022commonsenseqa,\n title={CommonsenseQA 2.0: Exposing the limits of AI through gamification},\n author={Talmor, Alon and Yoran, Ori and Bras, Ronan Le and Bhagavatula, Chandra and Goldberg, Yoav and Choi, Yejin and Berant, Jonathan},\n journal={arXiv preprint arXiv:2201.05320},\n year={2022}\n}\n```" | tasksource/commonsense_qa_2.0 | [
"task_categories:question-answering",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-01-24T21:45:47+00:00 | {"language": ["en"], "license": "cc-by-4.0", "task_categories": ["question-answering"]} | 2023-06-21T11:48:33+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #language-English #license-cc-by-4.0 #region-us
|
URL
| [] | [
"TAGS\n#task_categories-question-answering #language-English #license-cc-by-4.0 #region-us \n"
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31
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"passage: TAGS\n#task_categories-question-answering #language-English #license-cc-by-4.0 #region-us \n"
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e548eae008a43d71df22d230476db873b7ad7228 |
# DMV-Plates
This datasets contains various plates and their DMV responses.
Props to avery for making this jsonl file! | DarwinAnim8or/DMV-Plate-Review | [
"license:mit",
"region:us"
] | 2023-01-24T22:13:04+00:00 | {"license": "mit"} | 2023-01-24T22:17:51+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# DMV-Plates
This datasets contains various plates and their DMV responses.
Props to avery for making this jsonl file! | [
"# DMV-Plates\nThis datasets contains various plates and their DMV responses. \nProps to avery for making this jsonl file!"
] | [
"TAGS\n#license-mit #region-us \n",
"# DMV-Plates\nThis datasets contains various plates and their DMV responses. \nProps to avery for making this jsonl file!"
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"passage: TAGS\n#license-mit #region-us \n# DMV-Plates\nThis datasets contains various plates and their DMV responses. \nProps to avery for making this jsonl file!"
] |
d130cde11d599ea68b91ec6bb9d2e87ae2724d78 | # Dataset Card for "blimp"
HuggingFace Hub Upload of BLiMP: The Benchmark of Linguistic Minimal Pairs from https://github.com/alexwarstadt/blimp
If you use this dataset in your work, please cite the original authors and paper.
```
@article{warstadt2020blimp,
author = {Warstadt, Alex and Parrish, Alicia and Liu, ... | WillHeld/blimp | [
"region:us"
] | 2023-01-24T22:33:00+00:00 | {"dataset_info": {"features": [{"name": "sentence_good", "dtype": "string"}, {"name": "sentence_bad", "dtype": "string"}, {"name": "two_prefix_prefix_good", "dtype": "string"}, {"name": "two_prefix_prefix_bad", "dtype": "string"}, {"name": "two_prefix_word", "dtype": "string"}, {"name": "field", "dtype": "string"}, {"n... | 2023-01-24T22:34:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "blimp"
HuggingFace Hub Upload of BLiMP: The Benchmark of Linguistic Minimal Pairs from URL
If you use this dataset in your work, please cite the original authors and paper.
| [
"# Dataset Card for \"blimp\"\n\nHuggingFace Hub Upload of BLiMP: The Benchmark of Linguistic Minimal Pairs from URL\n\nIf you use this dataset in your work, please cite the original authors and paper."
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"blimp\"\n\nHuggingFace Hub Upload of BLiMP: The Benchmark of Linguistic Minimal Pairs from URL\n\nIf you use this dataset in your work, please cite the original authors and paper."
] |
ddb1f829b4c693bd29f91cf466d76e0065593358 | # Dataset Card for "OxfordPets_test_facebook_opt_125m_Attributes_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_125m_Attributes_ns_3669 | [
"region:us"
] | 2023-01-25T02:40:56+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T02:56:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_125m_Attributes_ns_3669"
More Information needed | [
"# Dataset Card for \"OxfordPets_test_facebook_opt_125m_Attributes_ns_3669\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"OxfordPets_test_facebook_opt_125m_Attributes_ns_3669\"\n\nMore Information needed"
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7bd99fb29d7ce6498fd5b4ab15880c36d5179cd7 | # Dataset Card for "OxfordPets_test_facebook_opt_350m_Attributes_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_350m_Attributes_ns_3669 | [
"region:us"
] | 2023-01-25T03:02:29+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T03:24:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_350m_Attributes_ns_3669"
More Information needed | [
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4126b85d57349927a4b886d5924ab4735fffa6a1 |
# Perturbed Faces
This dataset contains 1000 images from [CelebA dataset](!https://www.kaggle.com/datasets/jessicali9530/celeba-dataset). For each of the thousand images dataset also has [LowKey](https://openreview.net/forum?id=hJmtwocEqzc) perturbed version and [Fawkes](https://sandlab.cs.uchicago.edu/fawkes/) pertu... | aadityaubhat/perturbed_faces | [
"task_categories:feature-extraction",
"task_categories:image-classification",
"task_categories:zero-shot-image-classification",
"size_categories:1K<n<10K",
"arxiv:2301.07315",
"region:us"
] | 2023-01-25T03:43:47+00:00 | {"size_categories": ["1K<n<10K"], "task_categories": ["feature-extraction", "image-classification", "zero-shot-image-classification"], "pretty_name": "Perturbed Faces"} | 2023-01-25T04:29:39+00:00 | [
"2301.07315"
] | [] | TAGS
#task_categories-feature-extraction #task_categories-image-classification #task_categories-zero-shot-image-classification #size_categories-1K<n<10K #arxiv-2301.07315 #region-us
| Perturbed Faces
===============
This dataset contains 1000 images from CelebA dataset. For each of the thousand images dataset also has LowKey perturbed version and Fawkes perturbed version.
LowKey and Fawkes perturbed images have \_attacked & \_cloaked at the end of the filename respectively.
The Fawkes perturbed... | [] | [
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] |
a435eb8767b9a5667e56d53bbb7c3a154c1b9670 | # Dataset Card for "OxfordPets_test_facebook_opt_1.3b_Attributes_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_1.3b_Attributes_ns_3669 | [
"region:us"
] | 2023-01-25T04:23:01+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T04:55:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_1.3b_Attributes_ns_3669"
More Information needed | [
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17f66ff52eb1a7c8bebca582ee6567d29ba17308 | # Dataset Card for Dataset Name
## Dataset Description
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### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/hugg... | samkenxstream/turnkey-triumph-326606_SamKenX-imdb | [
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## Dataset Description
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2235745e5e53eac10295334dfb18ef829a34705b | # Dataset Card for "noto-emoji-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kuotient/noto-emoji-dataset | [
"region:us"
] | 2023-01-25T06:10:35+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24395327.773, "num_examples": 1001}], "download_size": 24218126, "dataset_size": 24395327.773}} | 2023-02-01T08:15:25+00:00 | [] | [] | TAGS
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9f01f21d68e292dc1f272a055ec7aa1c964f9a6f | # Dataset Card for "Uniref90_large_temp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Oshan/Uniref90_large_temp | [
"region:us"
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e03d3b8b37d4f3959c556843869f7fba5e3d0020 | # Dataset Card for "skin"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vgg/skin | [
"region:us"
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2dbb4c1be6a481a4d5ef52fdc4cbd4f09f52379c |
# LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
A collaboration between [reciTAL](https://recital.ai/en/), [MLIA](https://mlia.lip6.fr/) (ISIR, Sorbonne Université), [Meta AI](https://ai.facebook.com/), and [Università di Trento](https://www.unitn.it/)
## Arxiv-Lay dat... | nglaura/arxivlay-summarization | [
"task_categories:summarization",
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"region:us"
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#task_categories-summarization #language-English #license-apache-2.0 #region-us
| LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
============================================================================================
A collaboration between reciTAL, MLIA (ISIR, Sorbonne Université), Meta AI, and Università di Trento
Arxiv-Lay dataset for summari... | [
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05d4e370515ef41f534d3f87d5c54da0e66e2d1c |
# LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
A collaboration between [reciTAL](https://recital.ai/en/), [MLIA](https://mlia.lip6.fr/) (ISIR, Sorbonne Université), [Meta AI](https://ai.facebook.com/), and [Università di Trento](https://www.unitn.it/)
## HAL dataset ... | nglaura/hal-summarization | [
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============================================================================================
A collaboration between reciTAL, MLIA (ISIR, Sorbonne Université), Meta AI, and Università di Trento
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e99e680bf47316b8d3f9445c1d449434ab02ef8a |
# LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
A collaboration between [reciTAL](https://recital.ai/en/), [MLIA](https://mlia.lip6.fr/) (ISIR, Sorbonne Université), [Meta AI](https://ai.facebook.com/), and [Università di Trento](https://www.unitn.it/)
## SciELO datas... | nglaura/scielo-summarization | [
"task_categories:summarization",
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| LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
============================================================================================
A collaboration between reciTAL, MLIA (ISIR, Sorbonne Université), Meta AI, and Università di Trento
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7fea0ce76dc9deb26bc27027b9c143701b6d5030 | # Dataset Card for "bookcorpus_stochastic_subset_compact_1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | saibo/bookcorpus_stochastic_subset_compact_1024 | [
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96e6ad0a454751aad0eeb07705aca1b5574eb8dc | polinaeterna/audio_configs2 | [
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5ba05938d8d038270614705397b9306ee7716ff0 | # Dataset Card for "OxfordPets_test_facebook_opt_2.7b_Attributes_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_2.7b_Attributes_ns_3669 | [
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d36b28325622ab4865ca64225fa38df9d219599b | # Dataset Card for "gesture_pred"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Jsevisal/gesture_pred | [
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19144fa7c99ff5185443bd425c5ee9fe4ce950d7 | # Dataset Card for "yuvalkirstain-sd_15_pexel_people-eval-random-prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/yuvalkirstain-sd_15_pexel_people-eval-random-prompts | [
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9f45f40d711d83695172619bf59b82135a520678 | # Dataset Card for "wild-rabbit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | purplebear/wild-rabbit | [
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38ff443244c1b496c33ed237d3d4468daf24265c |
# Dataset Card for DocLayNet large
## About this card (01/27/2023)
### Property and license
All information from this page but the content of this paragraph "About this card (01/27/2023)" has been copied/pasted from [Dataset Card for DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet).
DocLayNet is a datas... | pierreguillou/DocLayNet-large | [
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"D... | 2023-01-25T15:14:52+00:00 | {"annotations_creators": ["crowdsourced"], "language": ["en", "de", "fr", "ja"], "license": "other", "size_categories": ["10K<n<100K"], "task_categories": ["object-detection", "image-segmentation", "token-classification"], "task_ids": ["instance-segmentation"], "pretty_name": "DocLayNet large", "tags": ["DocLayNet", "C... | 2023-05-17T07:56:48+00:00 | [
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# Dataset Card for DocLayNet large
## About this card (01/27/2023)
### Property and license
All information from this page but the content of this paragraph "About this card (01/27/2023)" has been copied/pasted from Dataset Card for DocLayNet.
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cdf40085b54db16615c767e1c840054a249d7dfb |
# Dataset Card for aiornot
Dataset for the [aiornot competition](https://hf.co/spaces/competitions/aiornot).
By accessing this dataset, you accept the rules of the AI or Not competition.
Please note that dataset may contain images which are not considered safe for work.
## Usage
### With Hugging Face Datasets �... | competitions/aiornot | [
"task_categories:image-classification",
"image-classification",
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"competitions",
"region:us"
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#task_categories-image-classification #image-classification #autotrain #competitions #region-us
|
# Dataset Card for aiornot
Dataset for the aiornot competition.
By accessing this dataset, you accept the rules of the AI or Not competition.
Please note that dataset may contain images which are not considered safe for work.
## Usage
### With Hugging Face Datasets
You can download and use this dataset using t... | [
"# Dataset Card for aiornot\n\nDataset for the aiornot competition. \n\nBy accessing this dataset, you accept the rules of the AI or Not competition.\nPlease note that dataset may contain images which are not considered safe for work.",
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177973aad7fd299f63ccde74824c5a0233998d8b |
# LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
A collaboration between [reciTAL](https://recital.ai/en/), [MLIA](https://mlia.lip6.fr/) (ISIR, Sorbonne Université), [Meta AI](https://ai.facebook.com/), and [Università di Trento](https://www.unitn.it/)
## KoreaScience... | nglaura/koreascience-summarization | [
"task_categories:summarization",
"language:fr",
"license:apache-2.0",
"region:us"
] | 2023-01-25T15:27:10+00:00 | {"language": ["fr"], "license": "apache-2.0", "task_categories": ["summarization"], "pretty_name": "KoreaScience"} | 2023-04-11T09:23:00+00:00 | [] | [
"fr"
] | TAGS
#task_categories-summarization #language-French #license-apache-2.0 #region-us
| LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
============================================================================================
A collaboration between reciTAL, MLIA (ISIR, Sorbonne Université), Meta AI, and Università di Trento
KoreaScience dataset for summ... | [
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d06f14028e58ec8177c13dbacad981b7efca5c21 |
# Multiclass Semantic Segmentation Duckietown Dataset
A dataset of multiclass semantic segmentation image annotations for the first 250 images of the ["Duckietown Object Detection Dataset"](https://docs.duckietown.org/daffy/AIDO/out/object_detection_dataset.html).
| Raw Image | Segmentated Image |
| --- | --- |
| <im... | hamnaanaa/Duckietown-Multiclass-Semantic-Segmentation-Dataset | [
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#task_categories-image-segmentation #size_categories-n<1K #license-openrail #Duckietown #Lane Following #Autonomous Driving #region-us
| Multiclass Semantic Segmentation Duckietown Dataset
===================================================
A dataset of multiclass semantic segmentation image annotations for the first 250 images of the "Duckietown Object Detection Dataset".
Semantic Classes
================
This dataset defines 8 semantic classes ... | [
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2728275fd4936eff670cd0e558946883e9c1b4c0 | # Dataset Card for "OxfordPets_test_facebook_opt_125m_Attributes_Caption_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_125m_Attributes_Caption_ns_3669 | [
"region:us"
] | 2023-01-25T16:06:40+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T19:42:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_125m_Attributes_Caption_ns_3669"
More Information needed | [
"# Dataset Card for \"OxfordPets_test_facebook_opt_125m_Attributes_Caption_ns_3669\"\n\nMore Information needed"
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2efd6f74ea9c8e62ae0f1cd5199aebac0251142b | # Dataset Card for "OxfordPets_test_facebook_opt_350m_Attributes_Caption_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_350m_Attributes_Caption_ns_3669 | [
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#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_350m_Attributes_Caption_ns_3669"
More Information needed | [
"# Dataset Card for \"OxfordPets_test_facebook_opt_350m_Attributes_Caption_ns_3669\"\n\nMore Information needed"
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f4dd676a131bdc3f7c689438e1c4bd1f81d7c057 | # Dataset Card for "WHU-RS19"
## Dataset Description
- **Paper:** [Structural high-resolution satellite image indexing](https://hal.science/hal-00458685/document)
- **Paper:** [Satellite image classification via two-layer sparse coding with biased image representation](https://ieeexplore.ieee.org/iel5/8859/4357975/05... | jonathan-roberts1/WHU-RS19 | [
"license:cc-by-4.0",
"region:us"
] | 2023-01-25T16:10:10+00:00 | {"license": "cc-by-4.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "airport", "1": "beach", "2": "bridge", "3": "commercial", "4": "desert", "5": "farmland", "6": "football field", "7": "forest", "8": "industrial", "9": "meadow", "10": ... | 2023-03-26T10:22:05+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| # Dataset Card for "WHU-RS19"
## Dataset Description
- Paper: Structural high-resolution satellite image indexing
- Paper: Satellite image classification via two-layer sparse coding with biased image representation
### Licensing Information
Public Domain
Structural high-resolution satellite image indexing
Satel... | [
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022634c2043cdd0487c5e13a874454535ab26c4b | # Dataset Card for "OxfordPets_test_facebook_opt_1.3b_Attributes_Caption_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_1.3b_Attributes_Caption_ns_3669 | [
"region:us"
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#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_1.3b_Attributes_Caption_ns_3669"
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024c3202dd522d1fec98d154895ad8cbaedb74fb | # Dataset Card for the High-Level Dataset
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#d... | michelecafagna26/hl | [
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"a... | 2023-01-25T16:15:17+00:00 | {"annotations_creators": ["crowdsourced"], "language": ["en"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["image-to-text", "question-answering", "zero-shot-classification"], "task_ids": ["text-scoring"], "pretty_name": "HL (High-Level Dataset)", "... | 2023-08-02T10:50:20+00:00 | [
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| # Dataset Card for the High-Level Dataset
## Table of Contents
- Table of Contents
- Dataset Description
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0ea08bf8ff41c8ea54d6671411ce0005fb46113a | # Dataset Card for "RSSCN7"
## Dataset Description
- **Paper** [Deep Learning Based Feature Selection for Remote Sensing Scene Classification](https://ieeexplore.ieee.org/iel7/8859/7305891/07272047.pdf)
### Licensing Information
For research and academic purposes.
## Citation Information
[Deep Learning Based Feat... | jonathan-roberts1/RSSCN7 | [
"task_categories:image-classification",
"task_categories:zero-shot-image-classification",
"license:other",
"region:us"
] | 2023-01-25T16:16:29+00:00 | {"license": "other", "task_categories": ["image-classification", "zero-shot-image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "field", "1": "forest", "2": "grass", "3": "industry", "4": "parking", "5": "resident", "6": "... | 2023-03-31T16:20:53+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-zero-shot-image-classification #license-other #region-us
| # Dataset Card for "RSSCN7"
## Dataset Description
- Paper Deep Learning Based Feature Selection for Remote Sensing Scene Classification
### Licensing Information
For research and academic purposes.
Deep Learning Based Feature Selection for Remote Sensing Scene Classification
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212f53dc625a4caaefa8f105679d3434381158c1 | # Dataset Card for "OxfordPets_test_facebook_opt_2.7b_Attributes_Caption_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_2.7b_Attributes_Caption_ns_3669 | [
"region:us"
] | 2023-01-25T16:20:51+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T20:23:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_2.7b_Attributes_Caption_ns_3669"
More Information needed | [
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ac46d216ebaf87e36a4dae607253e6985e6e5a75 | # Dataset Card for "OxfordPets_test_facebook_opt_125m_Visclues_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_125m_Visclues_ns_3669 | [
"region:us"
] | 2023-01-25T16:23:25+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T20:30:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_125m_Visclues_ns_3669"
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bcb88fa457c2bea86e317aa0fc22e177f1ce49b1 | # Dataset Card for "OxfordPets_test_facebook_opt_350m_Visclues_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_350m_Visclues_ns_3669 | [
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] | 2023-01-25T16:27:08+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T20:41:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_350m_Visclues_ns_3669"
More Information needed | [
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80b92e231adc6c0cd9314ab5de5e9a3997c0be16 | # Dataset Card for "yuvalkirstain-pickapic-ft-eval-random-prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | yuvalkirstain/yuvalkirstain-pickapic-ft-eval-random-prompts | [
"region:us"
] | 2023-01-25T16:28:58+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31392, "num_examples": 200}], "download_size": 11259, "dataset_size": 31392}} | 2023-01-25T16:29:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "yuvalkirstain-pickapic-ft-eval-random-prompts"
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c6912d3c9b04c0edc0857e7c4c458b0e3fef1b4b | # Dataset Card for "OxfordPets_test_facebook_opt_1.3b_Visclues_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_1.3b_Visclues_ns_3669 | [
"region:us"
] | 2023-01-25T16:32:27+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T21:01:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_facebook_opt_1.3b_Visclues_ns_3669"
More Information needed | [
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3e793948e63e15c2ada57984aff1e8848c55c560 | # Dataset Card for "OxfordPets_test_facebook_opt_2.7b_Visclues_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_facebook_opt_2.7b_Visclues_ns_3669 | [
"region:us"
] | 2023-01-25T16:39:10+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-25T21:31:11+00:00 | [] | [] | TAGS
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| # Dataset Card for "OxfordPets_test_facebook_opt_2.7b_Visclues_ns_3669"
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4228afe8a630ba39652b20c3f12cf34eb80a0cd6 | # Dataset Card for "BusinessNewsDataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | LIDIA-HESSEN/vencortex-BusinessNewsDataset | [
"region:us"
] | 2023-01-25T17:09:47+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "image", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "context_id", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "date", "dty... | 2023-01-25T17:09:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "BusinessNewsDataset"
More Information needed | [
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d26e9511bf4570dcba1ea244f93807bdf14750c6 | # Dataset Card for "FAQ_student_accesiblity_for_UTD"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rami/FAQ_student_accesiblity_for_UTD | [
"region:us"
] | 2023-01-25T17:15:01+00:00 | {"dataset_info": {"features": [{"name": "Question", "dtype": "string"}, {"name": "Answering", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "Label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 86308, "num_examples": 156}], "download_size": 44389, "dataset_size": 86308}} | 2023-03-25T22:17:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "FAQ_student_accesiblity_for_UTD"
More Information needed | [
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763c2084a6b03532f4b6277818b03e5263d229d3 | # This repository contains the dataset of weather forecasting competition - Datavidia 2022
## Deskripsi File
- train.csv - Data yang digunakan untuk melatih model berisi fitur-fitur dan target
- train_hourly.csv - Data tambahan berisi fitur-fitur untuk setiap jam
- test.csv - Data uji yang berisi fitur-fitur untuk pre... | elskow/Weather4cast | [
"license:unlicense",
"region:us"
] | 2023-01-25T17:31:20+00:00 | {"license": "unlicense"} | 2023-01-25T17:58:10+00:00 | [] | [] | TAGS
#license-unlicense #region-us
| # This repository contains the dataset of weather forecasting competition - Datavidia 2022
## Deskripsi File
- URL - Data yang digunakan untuk melatih model berisi fitur-fitur dan target
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a4c789887a5064ddb505b642b381c347ac0c6964 |
# Dataset Card for pile-pii-scrubadub
## Dataset Description
- **Repository: https://github.com/tomekkorbak/aligned-pretraining-objectives**
- **Paper: Arxiv link to be added**
### Dataset Summary
This dataset contains text from [The Pile](https://huggingface.co/datasets/the_pile), annotated based on the toxicity... | tomekkorbak/pile-detoxify | [
"task_categories:text-classification",
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"multilinguality:monolingual",
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"sourc... | 2023-01-25T17:32:30+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|the_pile"], "task_categories": ["text-classification", "other"], "task_ids": ["acceptability-classifi... | 2023-02-07T15:31:11+00:00 | [
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# Dataset Card for pile-pii-scrubadub
## Dataset Description
- Repository: URL
- Paper: Arxiv link to be added
### Dataset Summary
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b61d29f477163034001472614dc97fb9614dddea |
# Dataset Card for DocLayNet small
## About this card (01/27/2023)
### Property and license
All information from this page but the content of this paragraph "About this card (01/27/2023)" has been copied/pasted from [Dataset Card for DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet).
DocLayNet is a datas... | pierreguillou/DocLayNet-small | [
"task_categories:object-detection",
"task_categories:image-segmentation",
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"language:de",
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"Doc... | 2023-01-25T17:47:43+00:00 | {"annotations_creators": ["crowdsourced"], "language": ["en", "de", "fr", "ja"], "license": "other", "size_categories": ["1K<n<10K"], "task_categories": ["object-detection", "image-segmentation", "token-classification"], "task_ids": ["instance-segmentation"], "pretty_name": "DocLayNet small", "tags": ["DocLayNet", "COC... | 2023-05-17T07:56:10+00:00 | [
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# Dataset Card for DocLayNet small
## About this card (01/27/2023)
### Property and license
All information from this page but the content of this paragraph "About this card (01/27/2023)" has been copied/pasted from Dataset Card for DocLayNet.
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86fa5ebffa3d336210ee1eeeec349b2c7f07899b |
# Dataset Card for DocLayNet base
## About this card (01/27/2023)
### Property and license
All information from this page but the content of this paragraph "About this card (01/27/2023)" has been copied/pasted from [Dataset Card for DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet).
DocLayNet is a datase... | pierreguillou/DocLayNet-base | [
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# Dataset Card for DocLayNet base
## About this card (01/27/2023)
### Property and license
All information from this page but the content of this paragraph "About this card (01/27/2023)" has been copied/pasted from Dataset Card for DocLayNet.
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ade0789f658fd356185f9cc1438d268835b99204 | <h1 style="text-align: center;">MPSC Multi-view Dataset</h1>
<p style='text-align: justify;'>
Deep video representation learning has recently attained state-of-the-art performance in video action recognition. However, when used with video clips from varied perspectives, the performance of these models degrades signi... | mahmed10/MPSC_MV | [
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"Video Acitvity Recognition",
"region:us"
] | 2023-01-25T17:53:36+00:00 | {"task_categories": ["video-classification"], "tags": ["Video Acitvity Recognition"]} | 2023-04-28T14:25:02+00:00 | [] | [] | TAGS
#task_categories-video-classification #Video Acitvity Recognition #region-us
| <h1 style="text-align: center;">MPSC Multi-view Dataset</h1>
<p style='text-align: justify;'>
Deep video representation learning has recently attained state-of-the-art performance in video action recognition. However, when used with video clips from varied perspectives, the performance of these models degrades signi... | [
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297227012467386b09e6bf7d270d277d0e2b9325 |
# Dataset Card for pile-pii-scrubadub
## Dataset Description
- **Repository: https://github.com/tomekkorbak/aligned-pretraining-objectives**
- **Paper: Arxiv link to be added**
### Dataset Summary
This dataset contains text from [The Pile](https://huggingface.co/datasets/the_pile), annotated based on the personal... | tomekkorbak/pile-pii-scrubadub | [
"task_categories:text-classification",
"task_categories:other",
"task_ids:acceptability-classification",
"task_ids:text-scoring",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:extended|the_pile",
"la... | 2023-01-25T18:00:01+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|the_pile"], "task_categories": ["text-classification", "other"], "task_ids": ["acceptability-classifi... | 2023-02-07T15:26:41+00:00 | [
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# Dataset Card for pile-pii-scrubadub
## Dataset Description
- Repository: URL
- Paper: Arxiv link to be added
### Dataset Summary
This dataset contains text from The Pile, annotated based on the personal idenfitiable information (PII) in each sentence.
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a06d4250163274a43e10baad618e61f097583d27 | # Dataset Card for "lat_en_loeb_morph"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | grosenthal/lat_en_loeb_morph | [
"region:us"
] | 2023-01-25T18:11:22+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "la", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "file", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 60797479, "num_examples": 99343}, {"name": "test", "num_bytes": 628768, "num_examples": 1014}, {"name": "... | 2023-02-28T18:49:30+00:00 | [] | [] | TAGS
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More Information needed | [
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7c87c5db319dab81696ecb1b7e9ea2eb92c8f6dd |
# Dataset for training Russian language models
Overall: 75G
Scripts: https://github.com/IlyaGusev/rulm/tree/master/data_processing
| Website | Char count (M) | Word count (M) |
|-----------------|---------------|---------------|
| pikabu | 14938 | 2161 |
| lenta | 1008 ... | IlyaGusev/rulm | [
"task_categories:text-generation",
"size_categories:10M<n<100M",
"language:ru",
"region:us"
] | 2023-01-25T18:14:38+00:00 | {"language": ["ru"], "size_categories": ["10M<n<100M"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 78609111353, "num_examples": 14811026}, {"name": "test", "num_bytes": 397130292, "num_examples": 74794}, {"name": ... | 2023-03-20T23:53:53+00:00 | [] | [
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] | TAGS
#task_categories-text-generation #size_categories-10M<n<100M #language-Russian #region-us
| Dataset for training Russian language models
============================================
Overall: 75G
Scripts: URL
Website: pikabu, Char count (M): 14938, Word count (M): 2161
Website: lenta, Char count (M): 1008, Word count (M): 135
Website: stihi, Char count (M): 2994, Word count (M): 393
Website: stackoverflo... | [] | [
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aa69145a9f971d214419ee3eba2838f3b4522fd0 | # Dataset Card for "lat_en_loeb_split"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | grosenthal/lat_en_loeb_split | [
"region:us"
] | 2023-01-25T18:27:37+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "la", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "file", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 46936015, "num_examples": 99343}, {"name": "test", "num_bytes": 484664, "num_examples": 1014}, {"name": "... | 2023-03-25T00:31:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lat_en_loeb_split"
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9bc3c0c62180045ce419b1a58c9cf14666ece180 | Jupyter notebooks and supporting code | SDbiaseval/notebooks | [
"license:apache-2.0",
"region:us"
] | 2023-01-25T18:31:00+00:00 | {"license": "apache-2.0", "viewer": false} | 2023-01-31T16:17:43+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
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62c181fb787a3e753e52abc328a7c4fd83af4f00 | # Dataset Card for "methods2test_raw_grouped"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dembastu/methods2test_raw_grouped | [
"region:us"
] | 2023-01-25T18:41:08+00:00 | {"dataset_info": {"features": [{"name": "focal_method_test_case", "dtype": "string"}, {"name": "length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 854772444.2611823, "num_examples": 631120}], "download_size": 339684184, "dataset_size": 854772444.2611823}} | 2023-01-26T23:08:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "methods2test_raw_grouped"
More Information needed | [
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3f6210838290d43d58d7fe5a7148b8c489a7fd28 | This is the reporsitory of Turkish fake news dataset which consists of Zaytung posts and Hurriyet news articles.
Code folder contains the web scrapper python files.
Raw folder contains txt files downloaded from sources.
Clean folder contains txt files in lowercase, punctuation and numbers removed. | emreisik/news | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:tr",
"license:bsd",
"region:us"
] | 2023-01-25T18:48:18+00:00 | {"language": ["tr"], "license": "bsd", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"], "pretty_name": "News"} | 2023-01-25T18:50:02+00:00 | [] | [
"tr"
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#task_categories-text-generation #size_categories-1K<n<10K #language-Turkish #license-bsd #region-us
| This is the reporsitory of Turkish fake news dataset which consists of Zaytung posts and Hurriyet news articles.
Code folder contains the web scrapper python files.
Raw folder contains txt files downloaded from sources.
Clean folder contains txt files in lowercase, punctuation and numbers removed. | [] | [
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b480a7d68113a3870224a5c024c642a95ec496e9 | # Dataset Card for "pl-text-images-new-5000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Zombely/pl-text-images-new-5000 | [
"region:us"
] | 2023-01-25T18:59:51+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2529163044.192, "num_examples": 4036}, {"name": "test", "num_bytes": 314971657.0, "num_examples": 459}, {"name": "validation", "num_bytes": 330087667.0, "num_exampl... | 2023-01-25T19:02:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pl-text-images-new-5000"
More Information needed | [
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2a7fc8d44c1d363df612fe81e61809ed4e1254d5 |
This minimal pair data comes from "Learning to Recognize Dialect Features" by Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, and Jacob Eisenstein. Please cite the original work if
you make use of this data: ... | WillHeld/demszky_pairs | [
"region:us"
] | 2023-01-25T19:15:28+00:00 | {"dataset_info": {"features": [{"name": "phrase_ID", "dtype": "int64"}, {"name": "feature", "dtype": "string"}, {"name": "sentence", "dtype": "string"}, {"name": "feature_present", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 23146, "num_examples": 266}], "download_size": 8919, "dataset_size": 23146}} | 2023-01-25T19:19:46+00:00 | [] | [] | TAGS
#region-us
|
This minimal pair data comes from "Learning to Recognize Dialect Features" by Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, and Jacob Eisenstein. Please cite the original work if
you make use of this data: ... | [] | [
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784aed5465aa215e30fdc7f12e51880c3f73d149 | year_#ofpeople_location
1833_4_SriLanka
1943_1_USMarine
1952_1_Penang
1966_1_Rabaul
1973_1_Hawaii
1991_1_SriLanka
2001_1_Malaysia
2002_1_Malaysia
2003_1_Malaysia
2009_1_Thailand
2010_1_India
2010_1_Colombia
2013_1_Colombia
2021_1_India
2021_1_Phillipeans
2022_1_India
| CoconutData/Coconutmortalityrate | [
"license:openrail",
"region:us"
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#license-openrail #region-us
| year_#ofpeople_location
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1966_1_Rabaul
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2001_1_Malaysia
2002_1_Malaysia
2003_1_Malaysia
2009_1_Thailand
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2013_1_Colombia
2021_1_India
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| [] | [
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a17a37e5e4abde4c6a920d1ca9abfd18b1356c07 |
# Dataset Card for "relbert/t_rex"
## Dataset Description
- **Repository:** [https://hadyelsahar.github.io/t-rex/](https://hadyelsahar.github.io/t-rex/)
- **Paper:** [https://aclanthology.org/L18-1544/](https://aclanthology.org/L18-1544/)
- **Dataset:** Cleaned T-REX for link prediction.
## Dataset Summary
This is th... | relbert/t_rex | [
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:other",
"region:us"
] | 2023-01-25T21:47:54+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "pretty_name": "relbert/t_rex"} | 2023-03-31T20:02:35+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/t\_rex"
=================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Dataset: Cleaned T-REX for link prediction.
Dataset Summary
---------------
This is the T-REX dataset proposed in URL
The test split is universal across different version,... | [
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a318ff293895050b848a95de5c108eeef7528ab3 |
# Dataset Card for Dataset Name
UFSAC: Unification of Sense Annotated Corpora and Tools
## Dataset Description
- **Homepage:** https://github.com/getalp/UFSAC
- **Repository:** https://github.com/getalp/UFSAC
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
### Supported Tasks and L... | liyucheng/UFSAC | [
"task_categories:token-classification",
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-2.0",
"region:us"
] | 2023-01-25T22:17:54+00:00 | {"language": ["en"], "license": "cc-by-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["token-classification"]} | 2023-01-26T15:41:19+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #size_categories-1M<n<10M #language-English #license-cc-by-2.0 #region-us
|
# Dataset Card for Dataset Name
UFSAC: Unification of Sense Annotated Corpora and Tools
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
### Supported Tasks and Leaderboards
WSD: Word Sense Disambiguation
### Languages
English
## Data... | [
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4cc9063942e93200777c789215afde03f8bf44e0 | # Readme | smearle/pcglm | [
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012e0c16a562a127ff5f8d13d9e1ac2c786dc406 | # Dataset Card for "semantic"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 000alen/semantic | [
"region:us"
] | 2023-01-26T00:47:03+00:00 | {"dataset_info": {"features": [{"name": "text1", "dtype": "string"}, {"name": "text2", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 318338808, "num_examples": 834836}, {"name": "test", "num_bytes": 41559777, "num_examples": 99893}], "download_size": 38916398, "dataset_size": 359898585}} | 2023-01-26T00:47:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "semantic"
More Information needed | [
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ab54d9af682a2052a4345b85dccf9de89afd3674 | # Dataset Card for "bloom-dialogue-generate-ds-en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | svjack/bloom-dialogue-generate-ds-en | [
"region:us"
] | 2023-01-26T03:05:06+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "dialogue_text", "dtype": "string"}, {"name": "dialogue", "sequence": "string"}, {"name": "repo", "dtype": "string"}, {"name": "embeddings", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 33783729, "num_examples": 8378}... | 2023-01-26T03:08:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bloom-dialogue-generate-ds-en"
More Information needed | [
"# Dataset Card for \"bloom-dialogue-generate-ds-en\"\n\nMore Information needed"
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70476aa96efc5b7136f95eb81703ee2e20ee11fc | # BabyLM Dataset
This download includes LM Pretraining data for the 2023 CoNLL/CMCL shared task, [The BabyLM Challenge](https://babylm.github.io/). The (unzipped) data is not large, only ~700MB.
## Contents of this download
- `10M`: 10M-word training set for the *strict-small* track.
- `dev`: Development set for both ... | cambridge-climb/BabyLM | [
"size_categories:10M<n<100M",
"language:en",
"language modeling",
"cognitive modeling",
"region:us"
] | 2023-01-26T03:05:31+00:00 | {"language": ["en"], "size_categories": ["10M<n<100M"], "pretty_name": "Baby Language Modeling Dataset", "tags": ["language modeling", "cognitive modeling"]} | 2023-11-01T12:11:06+00:00 | [] | [
"en"
] | TAGS
#size_categories-10M<n<100M #language-English #language modeling #cognitive modeling #region-us
| BabyLM Dataset
==============
This download includes LM Pretraining data for the 2023 CoNLL/CMCL shared task, The BabyLM Challenge. The (unzipped) data is not large, only ~700MB.
Contents of this download
-------------------------
* '10M': 10M-word training set for the *strict-small* track.
* 'dev': Development s... | [] | [
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58e2a8898d8ddd5c72e9906077d6392359588d86 | # Dataset Card for "bloom-dialogue-generate-ds-zh"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | svjack/bloom-dialogue-generate-ds-zh | [
"region:us"
] | 2023-01-26T03:52:16+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "dialogue_text", "dtype": "string"}, {"name": "dialogue", "sequence": "string"}, {"name": "repo", "dtype": "string"}, {"name": "embeddings", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 98021681, "num_examples": 24297... | 2023-01-26T03:53:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "bloom-dialogue-generate-ds-zh"
More Information needed | [
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762a774972db5f16a27057ac7516a5fee2cf2fcc | # Dataset Card for "OxfordPets_test_text_davinci_002_Visclues_ns_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_text_davinci_002_Visclues_ns_10 | [
"region:us"
] | 2023-01-26T04:48:02+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "raw_prediction", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_1", "num_bytes":... | 2023-01-26T04:51:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_text_davinci_002_Visclues_ns_10"
More Information needed | [
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5a033fda33afbde2223d2d28ce396e4c74315ac6 | # Dataset Card for "OxfordPets_test_text_davinci_002_Visclues_ns_3669"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_text_davinci_002_Visclues_ns_3669 | [
"region:us"
] | 2023-01-26T05:06:37+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "raw_prediction", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_5", "num_bytes":... | 2023-01-26T05:06:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_text_davinci_002_Visclues_ns_3669"
More Information needed | [
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172cd7d323f128722ce38308b76fc8b2d34edd8a | # Dataset Card for "food_asia_2017"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chaeso/food_asia_2017 | [
"region:us"
] | 2023-01-26T05:40:01+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "100", "1": "101", "2": "102", "3": "103", "4": "104", "5": "105", "6": "106", "7": "107", "8": "108", "9": "109", "10": "110", "11": "111", "12": "112", "13": "113", "14": "114", "15": "115", ... | 2023-01-26T07:26:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "food_asia_2017"
More Information needed | [
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d72f52c5745553ed03a0b3ea3c3421585746e867 |
# Dataset Card for [Dataset Name]
## 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-st... | vishal-burman/c4-faqs | [
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"language_creators:machine-generated",
"multilinguality:mono... | 2023-01-26T06:15:58+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["odc-by"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|c4"], "task_categories": ["text2text-generation", "text-generation", "question-answering"... | 2023-02-06T04:35:16+00:00 | [
"1910.10683"
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#task_categories-text2text-generation #task_categories-text-generation #task_categories-question-answering #task_ids-text-simplification #task_ids-language-modeling #task_ids-open-domain-qa #annotations_creators-no-annotation #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n... | Dataset Card for [Dataset Name]
===============================
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 Rationa... | [
"### Dataset Summary\n\n\nThis dataset comprises of open-domain question-answer pairs obtained from extracting 150K FAQ URLs from C4 dataset. Please refer to the original 'paper' and 'dataset card' for more details.\n\n\nYou can load C4-FAQs as follows:",
"### Supported Tasks and Leaderboards\n\n\nC4-FAQs is main... | [
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61419d7f2cec9ca67324f28f6a077582643a037c | #SciNLI: A Corpus for Natural Language Inference on Scientific Text
https://github.com/msadat3/SciNLI
```bib
@inproceedings{sadat-caragea-2022-scinli,
title = "{S}ci{NLI}: A Corpus for Natural Language Inference on Scientific Text",
author = "Sadat, Mobashir and
Caragea, Cornelia",
booktitle = "Pro... | tasksource/scinli | [
"license:apache-2.0",
"region:us"
] | 2023-01-26T08:35:52+00:00 | {"license": "apache-2.0"} | 2023-01-26T09:34:08+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| #SciNLI: A Corpus for Natural Language Inference on Scientific Text
URL
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c13f83ea610d0f04c8b6ea50a59339b8204dcd44 | # The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants
https://github.com/UKPLab/argument-reasoning-comprehension-task
```bib
@InProceedings{Habernal.et.al.2018.NAACL.ARCT,
title = {The Argument Reasoning Comprehension Task: Identification
and Reconstruc... | tasksource/arct | [
"license:apache-2.0",
"region:us"
] | 2023-01-26T08:41:15+00:00 | {"license": "apache-2.0"} | 2023-05-15T07:19:50+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants
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7b722853d985102b6ab6fe1dd7e10473945de4d0 | # Dataset Card for "food_chinese_2017"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | chaeso/food_chinese_2017 | [
"region:us"
] | 2023-01-26T08:59:59+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "100", "1": "101", "2": "102", "3": "103", "4": "104", "5": "105", "6": "106", "7": "107", "8": "108", "9": "109", "10": "110", "11": "111", "12": "112", "13": "113", "14": "114", "15": "115", ... | 2023-01-26T09:21:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "food_chinese_2017"
More Information needed | [
"# Dataset Card for \"food_chinese_2017\"\n\nMore Information needed"
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746f83a1f110ee7cd4ca4267f28a9ef044fb8d4b | https://github.com/feng-yufei/Neural-Natural-Logic
```bib
@inproceedings{feng2020exploring,
title={Exploring End-to-End Differentiable Natural Logic Modeling},
author={Feng, Yufei, Ziou Zheng, and Liu, Quan and Greenspan, Michael and Zhu, Xiaodan},
booktitle={Proceedings of the 28th International Conference on Co... | tasksource/naturallogic | [
"task_categories:text-classification",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-01-26T09:49:49+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-classification"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "original_id ", "dtype": "int64"}, {"name": " sent1 ", "dtype": "string"}, {"name": " sent... | 2023-12-06T08:23:46+00:00 | [] | [
"en"
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#task_categories-text-classification #language-English #license-apache-2.0 #region-us
| URL
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8da1ab1711a5f6d7127391f3d68c449daa5bd540 | ERROR: type should be string, got "https://github.com/IKMLab/arct2\n```bib\n@inproceedings{niven-kao-2019-probing,\n title = \"Probing Neural Network Comprehension of Natural Language Arguments\",\n author = \"Niven, Timothy and\n Kao, Hung-Yu\",\n booktitle = \"Proceedings of the 57th Conference of the Association for Computational Linguistics\",\n month = jul,\n year = \"2019\",\n address = \"Florence, Italy\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/P19-1459\",\n pages = \"4658--4664\",\n abstract = \"We are surprised to find that BERT{'}s peak performance of 77{\\%} on the Argument Reasoning Comprehension Task reaches just three points below the average untrained human baseline. However, we show that this result is entirely accounted for by exploitation of spurious statistical cues in the dataset. We analyze the nature of these cues and demonstrate that a range of models all exploit them. This analysis informs the construction of an adversarial dataset on which all models achieve random accuracy. Our adversarial dataset provides a more robust assessment of argument comprehension and should be adopted as the standard in future work.\",\n}\n```" | tasksource/arct2 | [
"task_categories:text-classification",
"language:en",
"license:apache-2.0",
"region:us"
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#task_categories-text-classification #language-English #license-apache-2.0 #region-us
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d14fc1e72fa656736f2330a1f9250d4080b69aaa | # Dataset Card for "concatenated_librispeech"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sanchit-gandhi/concatenated_librispeech | [
"region:us"
] | 2023-01-26T10:26:12+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}], "splits": [{"name": "train", "num_bytes": 707889.0, "num_examples": 1}], "download_size": 0, "dataset_size": 707889.0}} | 2023-01-26T11:45:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "concatenated_librispeech"
More Information needed | [
"# Dataset Card for \"concatenated_librispeech\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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c5d7b1bd3da912bb0b3c1ab5c5e619b23103dc32 | # Dataset Card for "USTC_SmokeRS"
## Dataset Description
- **Paper:** [SmokeNet: Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention](https://www.mdpi.com/2072-4292/11/14/1702/pdf)
### Licensing Information
For research/education purposes.
## Citation Informat... | jonathan-roberts1/USTC_SmokeRS | [
"license:other",
"region:us"
] | 2023-01-26T10:45:45+00:00 | {"license": "other", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "cloud", "1": "dust", "2": "haze", "3": "land", "4": "seaside", "5": "smoke"}}}}], "splits": [{"name": "train", "num_bytes": 1229029078.725, "num_examples": 6225}], "downloa... | 2023-03-31T13:56:13+00:00 | [] | [] | TAGS
#license-other #region-us
| # Dataset Card for "USTC_SmokeRS"
## Dataset Description
- Paper: SmokeNet: Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention
### Licensing Information
For research/education purposes.
SmokeNet: Satellite smoke scene detection using convolutional neural ne... | [
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d2eedc6a97dd6af5d46ef0eecfbab37b8d9575cb | # Dataset Card for "identities-dalle-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SDbiaseval/identities-dalle-2 | [
"region:us"
] | 2023-01-26T11:15:25+00:00 | {"dataset_info": {"features": [{"name": "ethnicity", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "no", "dtype": "int32"}, {"name": "image_path", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 535524743.0, "num_examples": 680}], "download_size"... | 2023-01-26T22:33:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "identities-dalle-2"
More Information needed | [
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28f10b2c257704f348e2b6241106d4206c218206 | # Dataset Card for "identities-sd-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SDbiaseval/identities-sd-2 | [
"region:us"
] | 2023-01-26T11:20:38+00:00 | {"dataset_info": {"features": [{"name": "ethnicity", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "no", "dtype": "int32"}, {"name": "image_path", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 22563834.0, "num_examples": 680}], "download_size":... | 2023-01-26T22:39:17+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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e4fd4d399c521d7b805c926205db6f8e2cbfc420 | # Dataset Card for "jobs-sd-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SDbiaseval/jobs-sd-2 | [
"region:us"
] | 2023-01-26T11:36:22+00:00 | {"dataset_info": {"features": [{"name": "adjective", "dtype": "string"}, {"name": "profession", "dtype": "string"}, {"name": "no", "dtype": "int32"}, {"name": "image_path", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1061811457.5, "num_examples": 31500}], "downloa... | 2023-01-26T12:35:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "jobs-sd-2"
More Information needed | [
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390b69fe0abd969dd351d0637b18b1b6e0dd8e26 | # Dataset Card for "default_config"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polinaeterna/default_config | [
"region:us"
] | 2023-01-26T12:02:23+00:00 | {"pretty_name": "traktor_dodik", "dataset_info": [{"config_name": "default", "features": [{"name": "x", "dtype": "int64"}, {"name": "y", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 93, "num_examples": 6}, {"name": "test", "num_bytes": 28, "num_examples": 2}], "download_size": 1703, "dataset_size": 12... | 2023-01-26T16:18:29+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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e275e545ec573b19bf183bdc566d02ef5e9c3065 | # Dataset Card for "hh_eval_ilql"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reciprocate/hh_eval_ilql | [
"region:us"
] | 2023-01-26T12:48:28+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "ilql_hh_125M", "dtype": "string"}, {"name": "ilql_hh_1B", "dtype": "string"}, {"name": "ilql_hh_6B", "dtype": "string"}, {"name": "ilql_hh_20B", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 170467, "num_examples": 100}], "... | 2023-01-26T12:48:54+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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48a4df4d99673944db3eaabbf12d2a31348e98f3 | # Dataset Card for "Teamp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aryanlath/Teamp | [
"region:us"
] | 2023-01-26T13:06:09+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 85286.0, "num_examples": 1}], "download_size": 0, "dataset_size": 85286.0}} | 2023-01-26T13:09:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Teamp"
More Information needed | [
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f91928829ad1815bfd8393a17eeeaed1ffe51993 | # Dataset Card for "Unlabelled_Seg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aryanlath/Unlabelled_Seg | [
"region:us"
] | 2023-01-26T14:26:29+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 17399091.0, "num_examples": 138}], "download_size": 17243457, "dataset_size": 17399091.0}} | 2023-01-26T14:26:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Unlabelled_Seg"
More Information needed | [
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fc75b07adbf817d7b8875ac23f3542ace8c00c6f | # Dataset Card for "summarize_eval_ilql"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reciprocate/summarize_eval_ilql | [
"region:us"
] | 2023-01-26T14:51:13+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "ilql_summarize_125M", "dtype": "string"}, {"name": "ilql_summarize_1B", "dtype": "string"}, {"name": "ilql_summarize_6B", "dtype": "string"}, {"name": "ilql_summarize_20B", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1907... | 2023-01-26T14:51:42+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_eval_ilql"
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3e948872ae78b18cf93370d7eaaa0a2579715a55 | # Dataset Card for "OxfordPets_test_text_davinci_002_Attributes_Caption_ns_300"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_text_davinci_002_Attributes_Caption_ns_300 | [
"region:us"
] | 2023-01-26T15:08:19+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "raw_prediction", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_5", "num_bytes":... | 2023-01-26T15:08:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_text_davinci_002_Attributes_Caption_ns_300"
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a16da9840a55b9ac85e737090a6a1b1ea44f4bc8 | # Dataset Card for "OxfordPets_test_text_davinci_002_Visclues_ns_300"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_text_davinci_002_Visclues_ns_300 | [
"region:us"
] | 2023-01-26T15:09:48+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "raw_prediction", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_10", "num_bytes"... | 2023-01-26T15:46:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_text_davinci_002_Visclues_ns_300"
More Information needed | [
"# Dataset Card for \"OxfordPets_test_text_davinci_002_Visclues_ns_300\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"OxfordPets_test_text_davinci_002_Visclues_ns_300\"\n\nMore Information needed"
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12cb2b33a749314f2180384154f9d541f65687f2 |
# Dataset Summary
**hystoclass** (hybrid social text and tabular classification)has been collected from Instagram stories with privacy in mind. In addition to the texts published in the stories, this dataset has graphic features such as background color, text color, and font. also has a Textual feature named 'conten... | pooyaphoenix/hystoclass | [
"task_categories:text-classification",
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:fa",
"license:openrail",
"tabular_data",
"Text Classification",
"Social Networks",
"Ensemble Learning",
"region:us"
] | 2023-01-26T15:12:55+00:00 | {"language": ["fa"], "license": "openrail", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification", "token-classification"], "pretty_name": "hystoclass", "tags": ["tabular_data", "Text Classification", "Social Networks", "Ensemble Learning"]} | 2023-02-10T09:55:36+00:00 | [] | [
"fa"
] | TAGS
#task_categories-text-classification #task_categories-token-classification #size_categories-1K<n<10K #language-Persian #license-openrail #tabular_data #Text Classification #Social Networks #Ensemble Learning #region-us
|
# Dataset Summary
hystoclass (hybrid social text and tabular classification)has been collected from Instagram stories with privacy in mind. In addition to the texts published in the stories, this dataset has graphic features such as background color, text color, and font. also has a Textual feature named 'content' i... | [
"# Dataset Summary \nhystoclass (hybrid social text and tabular classification)has been collected from Instagram stories with privacy in mind. In addition to the texts published in the stories, this dataset has graphic features such as background color, text color, and font. also has a Textual feature named 'conten... | [
"TAGS\n#task_categories-text-classification #task_categories-token-classification #size_categories-1K<n<10K #language-Persian #license-openrail #tabular_data #Text Classification #Social Networks #Ensemble Learning #region-us \n",
"# Dataset Summary \nhystoclass (hybrid social text and tabular classification)has ... | [
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90763dfee177aca8ee44f0a750e8124119b61d39 | # Dataset Card for "OxfordPets_test_text_davinci_003_Visclues_ns_300"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/OxfordPets_test_text_davinci_003_Visclues_ns_300 | [
"region:us"
] | 2023-01-26T15:43:17+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "raw_prediction", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_12", "num_bytes"... | 2023-01-26T15:44:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "OxfordPets_test_text_davinci_003_Visclues_ns_300"
More Information needed | [
"# Dataset Card for \"OxfordPets_test_text_davinci_003_Visclues_ns_300\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"OxfordPets_test_text_davinci_003_Visclues_ns_300\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"OxfordPets_test_text_davinci_003_Visclues_ns_300\"\n\nMore Information needed"
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9ebf0a6a4f50fb99f6fb9e47f80f0dc79ae4deb8 | # Dataset Card for "nllb-eng-tgl-12k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Ramos-Ramos/nllb-eng-tgl-12k | [
"region:us"
] | 2023-01-26T15:50:21+00:00 | {"dataset_info": {"features": [{"name": "translation", "dtype": {"translation": {"languages": ["eng_Latn", "tgl_Latn"]}}}, {"name": "laser_score", "dtype": "float32"}, {"name": "source_sentence_lid", "dtype": "float32"}, {"name": "target_sentence_lid", "dtype": "float32"}, {"name": "source_sentence_source", "dtype": "s... | 2023-01-26T15:50:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nllb-eng-tgl-12k"
More Information needed | [
"# Dataset Card for \"nllb-eng-tgl-12k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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47c04abe372718066681b600f65db85cf8a4ff4b |
# VUA20
## Dataset Description
- **Paper:** [A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task](https://aclanthology.org/2020.figlang-1.3/)
### Dataset Summary
Creative Language Toolkit (CLTK) Metadata
- CL Type: Metaphor
- Task Type: detection
- Size: 200k
- Created time: 2020
VUA20 is (**perhaps... | CreativeLang/vua20_metaphor | [
"license:cc-by-2.0",
"region:us"
] | 2023-01-26T16:18:53+00:00 | {"license": "cc-by-2.0"} | 2023-06-27T12:51:59+00:00 | [] | [] | TAGS
#license-cc-by-2.0 #region-us
|
# VUA20
## Dataset Description
- Paper: A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task
### Dataset Summary
Creative Language Toolkit (CLTK) Metadata
- CL Type: Metaphor
- Task Type: detection
- Size: 200k
- Created time: 2020
VUA20 is (perhaps) the largest dataset of metaphor detection used in ... | [
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"### Dataset Summary\n\nCreative Language Toolkit (CLTK) Metadata\n- CL Type: Metaphor\n- Task Type: detection\n- Size: 200k\n- Created time: 2020\n\nVUA20 is (perhaps) the largest dataset of metap... | [
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96d1eed0e41ef32a091c000098cb47a0dc226d65 |
This repository contains various Tamazight language datasets created by [Col·lectivaT](https://www.collectivat.cat) in collaboration with CIEMEN and with funding from Municipality of Barcelona and Government of Catalonia.
Under `mono` you can find monolingual sentences.
- `tc_wajdm_v1.txt` - Texts from language le... | collectivat/amazic | [
"task_categories:translation",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:zgh",
"language:fr",
"language:ca",
"language:en",
"language:es",
"license:cc-by-2.0",
"region:us"
] | 2023-01-26T16:33:26+00:00 | {"language": ["zgh", "fr", "ca", "en", "es"], "license": "cc-by-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["translation", "text-generation"], "pretty_name": "Tamazight language data"} | 2023-07-27T09:56:40+00:00 | [] | [
"zgh",
"fr",
"ca",
"en",
"es"
] | TAGS
#task_categories-translation #task_categories-text-generation #size_categories-100K<n<1M #language-Standard Moroccan Tamazight #language-French #language-Catalan #language-English #language-Spanish #license-cc-by-2.0 #region-us
|
This repository contains various Tamazight language datasets created by Col·lectivaT in collaboration with CIEMEN and with funding from Municipality of Barcelona and Government of Catalonia.
Under 'mono' you can find monolingual sentences.
- 'tc_wajdm_v1.txt' - Texts from language learning material “tc wawjdm”
- '... | [] | [
"TAGS\n#task_categories-translation #task_categories-text-generation #size_categories-100K<n<1M #language-Standard Moroccan Tamazight #language-French #language-Catalan #language-English #language-Spanish #license-cc-by-2.0 #region-us \n"
] | [
77
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] |
10e2ecc2882a108819959a062ca7b1a528d6999f | # Dataset Card for "Caltech101_not_background_test_facebook_opt_125m_Attributes_ns_5647"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/Caltech101_not_background_test_facebook_opt_125m_Attributes_ns_5647 | [
"region:us"
] | 2023-01-26T17:08:17+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}], "splits": [{"name": "fewshot_0_bs_16", "num_bytes... | 2023-01-27T09:38:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Caltech101_not_background_test_facebook_opt_125m_Attributes_ns_5647"
More Information needed | [
"# Dataset Card for \"Caltech101_not_background_test_facebook_opt_125m_Attributes_ns_5647\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Caltech101_not_background_test_facebook_opt_125m_Attributes_ns_5647\"\n\nMore Information needed"
] |
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