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7aaf730b3884a62caa4207b0bdad1cde1c6a848a | # Dataset Card for "mmlu-formal_logic-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-formal_logic-neg-answer | [
"region:us"
] | 2023-05-09T06:35:04+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 55219, "num_examples"... | 2023-05-15T04:38:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-formal_logic-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-formal_logic-neg-answer\"\n\nMore Information needed"
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62d2e9d167d47226360649d78310e3b9b211fd06 | # Dataset Card for "mmlu-global_facts-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-global_facts-neg-answer | [
"region:us"
] | 2023-05-09T06:35:26+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 19969, "num_examples"... | 2023-05-15T04:39:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-global_facts-neg-answer"
More Information needed | [
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41ca5c668e3e7632ce3743398bf4fa9506fa3394 | # Dataset Card for "mmlu-high_school_biology-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_biology-neg-answer | [
"region:us"
] | 2023-05-09T06:36:22+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 126929, "num_examples... | 2023-05-15T04:41:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_biology-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_biology-neg-answer\"\n\nMore Information needed"
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e5fa1bdcec313cebf4393d83fa537ff71dc54dfe | # Dataset Card for "mmlu-high_school_chemistry-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_chemistry-neg-answer | [
"region:us"
] | 2023-05-09T06:37:14+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 66318, "num_examples"... | 2023-05-15T04:42:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_chemistry-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_chemistry-neg-answer\"\n\nMore Information needed"
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62dc659bb80aef59d646d43bbf7f96a5204df5ee | # Dataset Card for "mmlu-high_school_computer_science-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_computer_science-neg-answer | [
"region:us"
] | 2023-05-09T06:37:43+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 50115, "num_examples"... | 2023-05-15T04:43:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_computer_science-neg-answer"
More Information needed | [
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73f3fedbede7085ed77539d9b2ba697542e281c9 | # Dataset Card for "mmlu-high_school_european_history-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_european_history-neg-answer | [
"region:us"
] | 2023-05-09T06:38:18+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 281184, "num_examples... | 2023-05-15T04:44:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_european_history-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_european_history-neg-answer\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-high_school_european_history-neg-answer\"\n\nMore Information needed"
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8b0814b226ef7d149819aec723b47955f4752730 | # Dataset Card for "mmlu-high_school_geography-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_geography-neg-answer | [
"region:us"
] | 2023-05-09T06:39:03+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 48732, "num_examples"... | 2023-05-15T04:46:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_geography-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_geography-neg-answer\"\n\nMore Information needed"
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77fb94460d89a557af156ffc8d11b2ba095d8108 | # Dataset Card for "mmlu-high_school_government_and_politics-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_government_and_politics-neg-answer | [
"region:us"
] | 2023-05-09T06:39:37+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 78372, "num_examples"... | 2023-05-15T04:47:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_government_and_politics-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_government_and_politics-neg-answer\"\n\nMore Information needed"
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6807bee6d98db41a01bcaf1374ac35e2db9e0f76 | # Dataset Card for "mmlu-high_school_macroeconomics-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_macroeconomics-neg-answer | [
"region:us"
] | 2023-05-09T06:40:33+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 137273, "num_examples... | 2023-05-15T04:48:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_macroeconomics-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_macroeconomics-neg-answer\"\n\nMore Information needed"
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bc0243a7aacb059e7406835c742e44f48a28ed17 | # Dataset Card for "mmlu-high_school_mathematics-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_mathematics-neg-answer | [
"region:us"
] | 2023-05-09T06:41:33+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 58794, "num_examples"... | 2023-05-15T04:50:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_mathematics-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_mathematics-neg-answer\"\n\nMore Information needed"
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9b8e6fa60fcdc93e2e18fc6f62bb92a1c74233d1 | # Dataset Card for "mmlu-high_school_microeconomics-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_microeconomics-neg-answer | [
"region:us"
] | 2023-05-09T06:42:13+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 88985, "num_examples"... | 2023-05-15T04:51:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_microeconomics-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_microeconomics-neg-answer\"\n\nMore Information needed"
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cc38cbe53b8986643d88530a449ed7467f99b56f | # Dataset Card for "mmlu-high_school_physics-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_physics-neg-answer | [
"region:us"
] | 2023-05-09T06:42:44+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 66580, "num_examples"... | 2023-05-15T04:52:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_physics-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_physics-neg-answer\"\n\nMore Information needed"
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c6e3a6db0b6817e37259ae5bf98e6e66a646fc21 | # Dataset Card for "mmlu-high_school_psychology-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_psychology-neg-answer | [
"region:us"
] | 2023-05-09T06:44:33+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 181482, "num_examples... | 2023-05-15T04:56:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_psychology-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_psychology-neg-answer\"\n\nMore Information needed"
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707b4340b7f20b77a05a1d17fc8b7f7fe7a208df | # Dataset Card for "mmlu-high_school_statistics-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_statistics-neg-answer | [
"region:us"
] | 2023-05-09T06:45:09+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 123885, "num_examples... | 2023-05-15T04:57:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_statistics-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_statistics-neg-answer\"\n\nMore Information needed"
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ae1f00fe9d4551c5e0e7351850f28242d13166dc | # Dataset Card for "mmlu-high_school_us_history-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_us_history-neg-answer | [
"region:us"
] | 2023-05-09T06:45:59+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 309230, "num_examples... | 2023-05-15T04:58:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_us_history-neg-answer"
More Information needed | [
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fc6b46bd859762968512c3c49574444c198edbcf | # Dataset Card for "mmlu-high_school_world_history-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-high_school_world_history-neg-answer | [
"region:us"
] | 2023-05-09T06:46:51+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 393405, "num_examples... | 2023-05-15T05:00:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-high_school_world_history-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-high_school_world_history-neg-answer\"\n\nMore Information needed"
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a5b1fb0d98f31111bb0a3599b8d806465749e383 | # Dataset Card for "mmlu-human_aging-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-human_aging-neg-answer | [
"region:us"
] | 2023-05-09T06:47:38+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 53595, "num_examples"... | 2023-05-15T05:01:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-human_aging-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-human_aging-neg-answer\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-human_aging-neg-answer\"\n\nMore Information needed"
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9895516732cf9184acc203a965c6829a4597eaff | # Dataset Card for "mmlu-human_sexuality-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-human_sexuality-neg-answer | [
"region:us"
] | 2023-05-09T06:48:09+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 36907, "num_examples"... | 2023-05-15T05:02:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-human_sexuality-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-human_sexuality-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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3a3a789da34865ef766240628c34ef9434564fdc | # Dataset Card for "mmlu-international_law-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-international_law-neg-answer | [
"region:us"
] | 2023-05-09T06:48:22+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 67365, "num_examples"... | 2023-05-15T05:02:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-international_law-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-international_law-neg-answer\"\n\nMore Information needed"
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8776567009458292a4212c08770da13b3d05990e | # Dataset Card for "mmlu-jurisprudence-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-jurisprudence-neg-answer | [
"region:us"
] | 2023-05-09T06:48:39+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 40272, "num_examples"... | 2023-05-15T05:03:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-jurisprudence-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-jurisprudence-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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0ab2939c58a743bdfb098732614a89a6f36e12fe | # Dataset Card for "mmlu-logical_fallacies-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-logical_fallacies-neg-answer | [
"region:us"
] | 2023-05-09T06:49:30+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 58621, "num_examples"... | 2023-05-15T05:04:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-logical_fallacies-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-logical_fallacies-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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2a0ea2329c56245baa75e214a818e6918f13f871 | # Dataset Card for "mmlu-machine_learning-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-machine_learning-neg-answer | [
"region:us"
] | 2023-05-09T06:49:59+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 36792, "num_examples"... | 2023-05-15T05:05:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-machine_learning-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-machine_learning-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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59f3c9559afd47088baefcce71da6a6586edacf2 | # Dataset Card for "mmlu-management-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-management-neg-answer | [
"region:us"
] | 2023-05-09T06:50:26+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 23489, "num_examples"... | 2023-05-15T05:06:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-management-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-management-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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a2c2d28d4728832a1921d9980c778ab82aeb174f | # Dataset Card for "mmlu-marketing-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-marketing-neg-answer | [
"region:us"
] | 2023-05-09T06:51:19+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 70803, "num_examples"... | 2023-05-15T05:08:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-marketing-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-marketing-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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96a041af157e2201ef5502f499b1f248c859500e | # Dataset Card for "mmlu-medical_genetics-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-medical_genetics-neg-answer | [
"region:us"
] | 2023-05-09T06:51:47+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 24607, "num_examples"... | 2023-05-15T05:08:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-medical_genetics-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-medical_genetics-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-medical_genetics-neg-answer\"\n\nMore Information needed"
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44312c82edd199f7bffdc0c26c4ae2f0b0cbe918 | # Dataset Card for "mmlu-miscellaneous-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-miscellaneous-neg-answer | [
"region:us"
] | 2023-05-09T06:54:29+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 170602, "num_examples... | 2023-05-15T05:14:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-miscellaneous-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-miscellaneous-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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7c49cbe59a8c70e907a97d1374eae358ab9adfee | # Dataset Card for "mmlu-moral_disputes-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-moral_disputes-neg-answer | [
"region:us"
] | 2023-05-09T06:55:26+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 126761, "num_examples... | 2023-05-15T05:16:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-moral_disputes-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-moral_disputes-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-moral_disputes-neg-answer\"\n\nMore Information needed"
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3dd9f142bf15e0a5ce6425df4b8a0e5ddffde745 | # Dataset Card for "mmlu-moral_scenarios-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-moral_scenarios-neg-answer | [
"region:us"
] | 2023-05-09T06:58:45+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 392005, "num_examples... | 2023-05-15T05:22:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-moral_scenarios-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-moral_scenarios-neg-answer\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-moral_scenarios-neg-answer\"\n\nMore Information needed"
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0bcdc88fea8fa9c38eb388149aa1febdc125d9ae | # Dataset Card for "mmlu-nutrition-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-nutrition-neg-answer | [
"region:us"
] | 2023-05-09T06:59:53+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 110092, "num_examples... | 2023-05-15T05:24:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-nutrition-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-nutrition-neg-answer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mmlu-nutrition-neg-answer\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-nutrition-neg-answer\"\n\nMore Information needed"
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fd1284ac5ba77a238ed2b96d304bdc814a22c5b4 | # Dataset Card for "mmlu-philosophy-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-philosophy-neg-answer | [
"region:us"
] | 2023-05-09T07:00:48+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 93843, "num_examples"... | 2023-05-15T05:25:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-philosophy-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-philosophy-neg-answer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mmlu-philosophy-neg-answer\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-philosophy-neg-answer\"\n\nMore Information needed"
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cfc93759f1d91bc559eecad0c2a092ba9d1e2102 | # Dataset Card for "mmlu-prehistory-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-prehistory-neg-answer | [
"region:us"
] | 2023-05-09T07:02:09+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 103985, "num_examples... | 2023-05-15T05:28:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-prehistory-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-prehistory-neg-answer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mmlu-prehistory-neg-answer\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-prehistory-neg-answer\"\n\nMore Information needed"
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76d0d6e4a14952a74271b1a1beb480f6387ad48f | # Dataset Card for "mmlu-professional_accounting-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-professional_accounting-neg-answer | [
"region:us"
] | 2023-05-09T07:03:04+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 138388, "num_examples... | 2023-05-15T05:29:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-professional_accounting-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-professional_accounting-neg-answer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mmlu-professional_accounting-neg-answer\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-professional_accounting-neg-answer\"\n\nMore Information needed"
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065c70aa0f8773bf97117462764fd7bf2e05c6a1 | # Dataset Card for "mmlu-professional_law-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-professional_law-neg-answer | [
"region:us"
] | 2023-05-09T07:05:48+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 2047921, "num_example... | 2023-05-15T05:34:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-professional_law-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-professional_law-neg-answer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mmlu-professional_law-neg-answer\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-professional_law-neg-answer\"\n\nMore Information needed"
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0ad461c3497e2692cbbc58886ef625a643ef8c82 | # Dataset Card for "mmlu-professional_medicine-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-professional_medicine-neg-answer | [
"region:us"
] | 2023-05-09T07:07:01+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 227505, "num_examples... | 2023-05-15T05:36:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-professional_medicine-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-professional_medicine-neg-answer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"mmlu-professional_medicine-neg-answer\"\n\nMore Information needed"
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24
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"passage: TAGS\n#region-us \n# Dataset Card for \"mmlu-professional_medicine-neg-answer\"\n\nMore Information needed"
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e725cbbae4705d7bf4ad5bf0830a5e9bfb4c52d7 | # Dataset Card for "mmlu-professional_psychology-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-professional_psychology-neg-answer | [
"region:us"
] | 2023-05-09T07:08:43+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 259865, "num_examples... | 2023-05-15T05:39:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-professional_psychology-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-professional_psychology-neg-answer\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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ee286b04ced0c78d30610a46472f7bd5cc07d8d6 | # Dataset Card for "mmlu-public_relations-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-public_relations-neg-answer | [
"region:us"
] | 2023-05-09T07:09:08+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 32498, "num_examples"... | 2023-05-15T05:40:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-public_relations-neg-answer"
More Information needed | [
"# Dataset Card for \"mmlu-public_relations-neg-answer\"\n\nMore Information needed"
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7dd3969085d398e9afc1a4fcf0d6aee41575f871 | # Dataset Card for "mmlu-security_studies-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-security_studies-neg-answer | [
"region:us"
] | 2023-05-09T07:09:42+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 248109, "num_examples... | 2023-05-15T05:41:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-security_studies-neg-answer"
More Information needed | [
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8af7b3dcb77ec96058dcc323eacc5b5108ccae7a | # Dataset Card for "mmlu-sociology-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-sociology-neg-answer | [
"region:us"
] | 2023-05-09T07:10:27+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 78697, "num_examples"... | 2023-05-15T05:42:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-sociology-neg-answer"
More Information needed | [
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313d40bec69cf046c0312693b05ba0f31844b2f2 | # Dataset Card for "mmlu-us_foreign_policy-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-us_foreign_policy-neg-answer | [
"region:us"
] | 2023-05-09T07:10:49+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 33831, "num_examples"... | 2023-05-15T05:43:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-us_foreign_policy-neg-answer"
More Information needed | [
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995e543f0271893880d9d8db56ec0979ac00d3f2 | # Dataset Card for "mmlu-virology-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-virology-neg-answer | [
"region:us"
] | 2023-05-09T07:11:34+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 44531, "num_examples"... | 2023-05-15T05:44:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-virology-neg-answer"
More Information needed | [
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a3a0686929c00777a1771cbbe5790d10a34439f6 | # Dataset Card for "mmlu-world_religions-neg-answer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | joey234/mmlu-world_religions-neg-answer | [
"region:us"
] | 2023-05-09T07:12:15+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 29072, "num_examples"... | 2023-05-15T05:45:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mmlu-world_religions-neg-answer"
More Information needed | [
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f52417ca77bd71e9888ddc29f92587660725d2b4 |
# Dataset Card for MGSM
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#dat... | juletxara/mgsm | [
"task_categories:text2text-generation",
"annotations_creators:found",
"language_creators:found",
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"lang... | 2023-05-09T07:20:29+00:00 | {"annotations_creators": ["found"], "language_creators": ["found", "expert-generated"], "language": ["en", "es", "fr", "de", "ru", "zh", "ja", "th", "sw", "bn"], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|gsm8k"], "task_categories": [... | 2023-05-09T15:46:31+00:00 | [
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=====================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and Sensitiv... | [
"### Dataset Summary\n\n\nMultilingual Grade School Math Benchmark (MGSM) is a benchmark of grade-school math problems, proposed in the paper Language models are multilingual chain-of-thought reasoners.\n\n\nThe same 250 problems from GSM8K are each translated via human annotators in 10 languages. The 10 languages ... | [
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99f4231279f163519499a7d278a602680ef7d7af |
# Carl Johnson Voice Pack/Dataset
## Dataset Description
- 来源：游戏数据Audio/SFX 和 Audio/Streams，共5657条
- 收集者：B站蝈总（Katock），其他平台同名
- 用途：AI训练
- 全网找不到很全的数据集，故手动收集之 | Katock/carl_johnson_voice_pack | [
"license:bsd-3-clause-clear",
"music",
"region:us"
] | 2023-05-09T07:23:23+00:00 | {"license": "bsd-3-clause-clear", "tags": ["music"]} | 2023-05-13T14:07:45+00:00 | [] | [] | TAGS
#license-bsd-3-clause-clear #music #region-us
|
# Carl Johnson Voice Pack/Dataset
## Dataset Description
- 来源：游戏数据Audio/SFX 和 Audio/Streams，共5657条
- 收集者：B站蝈总（Katock），其他平台同名
- 用途：AI训练
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27ad86b20b06fc060b4fc841cc6183ead8def0e5 |
# demo-data
这个一个测试数据集，用来熟悉 huggingface 的主要功能。
## Usage
@Copyright 2023 liuyuqi.gov@msn.cn
| jianboy/demo-data | [
"license:cc0-1.0",
"region:us"
] | 2023-05-09T07:24:16+00:00 | {"license": "cc0-1.0"} | 2023-05-09T07:32:28+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# demo-data
这个一个测试数据集，用来熟悉 huggingface 的主要功能。
## Usage
@Copyright 2023 URL@URL
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54a4bf1f06dd2669ac24815a139df1d75a617ee9 | # Dataset Card for Food-101-Enriched (Enhanced by Renumics)
## Dataset Description
- **Homepage:** [Renumics Homepage](https://renumics.com/?hf-dataset-card=food101-enriched)
- **GitHub** [Spotlight](https://github.com/Renumics/spotlight)
- **Dataset Homepage** [data.vision.ee.ethz.ch](https://data.vision.ee.ethz.ch/... | renumics/food101-enriched | [
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"embeddi... | 2023-05-09T07:41:13+00:00 | {"language": ["en"], "license": "unknown", "size_categories": ["100K<n<1M"], "source_datasets": ["extended|other-foodspotting", "extended|food101"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classification"], "paperswithcode_id": "food-101", "pretty_name": "Food-101 Data Set", "tags":... | 2023-06-06T07:15:28+00:00 | [] | [
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=========================================================
Dataset Description
-------------------
* Homepage: Renumics Homepage
* GitHub Spotlight
* Dataset Homepage URL
* Paper: Food-101 – Mining Discriminative Components with Random Forests
### Dataset S... | [
"### Dataset Summary\n\n\nData-centric AI principles have become increasingly important for real-world use cases. \n\nAt Renumics we believe that classical benchmark datasets and competitions should be extended to reflect this development.\n\n\nThis is why we are publishing benchmark datasets with application-spec... | [
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ad79fbfb71fa8d4f43eb564f3dfbdf60e3f30a26 | # Dataset Card for "yaxis_chart_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | aravind-selvam/yaxis_chart_data | [
"region:us"
] | 2023-05-09T07:46:04+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43306041.0, "num_examples": 4000}, {"name": "validation", "num_bytes": 9046607.0, "num_examples": 1000}], "download_size": 51862633, "dataset_size": 52352648.0}} | 2023-05-09T07:46:19+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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f6ae2fb62990a0025ec5261c85aadb4253c15245 | # Dataset Card for "empathetic_dialogues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lighteval/empathetic_dialogues | [
"region:us"
] | 2023-05-09T07:58:55+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "references", "sequence": "string"}, {"name": "subsplit", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7490124, "num_examples": 17647}, {"name": "validation", "num_bytes": 1256124, "num_examples": 2748}, {"name": "test", "nu... | 2023-05-09T08:19:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "empathetic_dialogues"
More Information needed | [
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de3dfde669d3c4adc1fe35223aed8b4e1f06a177 | # Dataset Card for "oasst1_pairwise_rlhf_reward"
[OASST1 dataset](https://huggingface.co/datasets/OpenAssistant/oasst1) preprocessed for reward modeling:
```python
import pandas as pd
from datasets import load_dataset,concatenate_datasets, Dataset, DatasetDict
import numpy as np
dataset = load_dataset("OpenAssista... | tasksource/oasst1_pairwise_rlhf_reward | [
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"language:... | 2023-05-09T08:16:01+00:00 | {"language": ["en", "es", "ru", "de", "pl", "th", "vi", "sv", "bn", "da", "he", "it", "fa", "sk", "id", "nb", "el", "nl", "hu", "eu", "zh", "eo", "ja", "ca", "cs", "bg", "fi", "pt", "tr", "ro", "ar", "uk", "gl", "fr", "ko"], "dataset_info": {"features": [{"name": "lang", "dtype": "string"}, {"name": "parent_id", "dtype... | 2023-07-04T16:47:46+00:00 | [] | [
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OASST1 dataset preprocessed for reward modeling:
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c5db9d7e2206a91763a6f6c2df7a719ec0efbb51 | ## Source
This repository contains 3 datasets created within the POPP project ([Project for the Oceration of the Paris Population Census](https://popp.hypotheses.org/#ancre2)) for the task of handwriting text recognition. These datasets have been published in [Recognition and information extraction in historical handw... | agomberto/FrenchCensus-handwritten-texts | [
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"region:us"
] | 2023-05-09T10:21:00+00:00 | {"language": ["fr"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["image-to-text"], "tags": ["imate-to-text", "trocr"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 501750699.816, "num_example... | 2023-11-28T17:35:18+00:00 | [] | [
"fr"
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| ## Source
This repository contains 3 datasets created within the POPP project (Project for the Oceration of the Paris Population Census) for the task of handwriting text recognition. These datasets have been published in Recognition and information extraction in historical handwritten tables: toward understanding earl... | [
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df407f87f0b0b9e94efc499f74aa09e453a8166d | # Dataset Card for "dft23-full"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bio-datasets/dft23-full | [
"region:us"
] | 2023-05-09T11:29:38+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer_a", "dtype": "string"}, {"name": "answer_b", "dtype": "string"}, {"name": "answer_c", "dtype": "string"}, {"name": "answer_d", "dtype": "string"}, {"name": "answer_e", "dtype": "string"}, {"name":... | 2023-05-09T14:38:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dft23-full"
More Information needed | [
"# Dataset Card for \"dft23-full\"\n\nMore Information needed"
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"# Dataset Card for \"dft23-full\"\n\nMore Information needed"
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3050b3549eb47b82dbc9fdb4dff76954f51e2b34 | # Dataset Card for "disinformation_wedging"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lighteval/disinformation_wedging | [
"region:us"
] | 2023-05-09T11:41:58+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "references", "sequence": "null"}, {"name": "none", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 7406, "num_examples": 11}], "download_size": 9583, "dataset_size": 7406}} | 2023-05-09T11:42:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "disinformation_wedging"
More Information needed | [
"# Dataset Card for \"disinformation_wedging\"\n\nMore Information needed"
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"# Dataset Card for \"disinformation_wedging\"\n\nMore Information needed"
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c3e0c0f1b84ef2ad8b89073b977f3b340de00c18 |
ESLO audio dataset
configs:
- no_overlap_no_hesitation
- no_hesitation
- no_overlap
- raw
Licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International
Dependencies:
- ffmpeg: `sudo apt-get install ffmpeg`
- ffmpeg-python: `pip install ffmpeg-python`
`... | illuin/ESLO | [
"task_categories:automatic-speech-recognition",
"language:fr",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-05-09T13:02:52+00:00 | {"language": ["fr"], "license": "cc-by-nc-4.0", "task_categories": ["automatic-speech-recognition"]} | 2023-05-15T14:21:41+00:00 | [] | [
"fr"
] | TAGS
#task_categories-automatic-speech-recognition #language-French #license-cc-by-nc-4.0 #region-us
|
ESLO audio dataset
configs:
- no_overlap_no_hesitation
- no_hesitation
- no_overlap
- raw
Licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International
Dependencies:
- ffmpeg: 'sudo apt-get install ffmpeg'
- ffmpeg-python: 'pip install ffmpeg-python'
... | [] | [
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18901c8e937d3f88674efdf398375dc2b919baac | # Dataset Card for dynamically generated hate speech dataset
## Dataset Description
- **Homepage:** [GitHub](https://github.com/bvidgen/Dynamically-Generated-Hate-Speech-Dataset)
- **Point of Contact:** [bertievidgen@gmail.com](mailto:bertievidgen@gmail.com)
### Dataset Summary
This is a copy of the Dynamically-Gen... | LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset | [
"task_categories:text-classification",
"task_categories:text-generation",
"language:en",
"not-for-all-audiences",
"legal",
"arxiv:2012.15761",
"region:us"
] | 2023-05-09T13:04:29+00:00 | {"language": ["en"], "task_categories": ["text-classification", "text-generation"], "pretty_name": "dynamically generated hate speech dataset", "tags": ["not-for-all-audiences", "legal"]} | 2023-05-16T15:01:46+00:00 | [
"2012.15761"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-text-generation #language-English #not-for-all-audiences #legal #arxiv-2012.15761 #region-us
| # Dataset Card for dynamically generated hate speech dataset
## Dataset Description
- Homepage: GitHub
- Point of Contact: bertievidgen@URL
### Dataset Summary
This is a copy of the Dynamically-Generated-Hate-Speech-Dataset, presented in this paper by
- Bertie Vidgen, Tristan Thrush, Zeerak Waseem and Douwe Kiela
... | [
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2a2ad8bd5bb2dfcb4121e913da4832a1d5f86d61 | # Dataset Card for "amazon-shoe-reviews"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lazarustda/amazon-shoe-reviews | [
"region:us"
] | 2023-05-09T13:15:11+00:00 | {"dataset_info": {"features": [{"name": "labels", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16847665.2, "num_examples": 90000}, {"name": "test", "num_bytes": 1871962.8, "num_examples": 10000}], "download_size": 11141108, "dataset_size": 18719628.0}} | 2023-05-09T13:18:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "amazon-shoe-reviews"
More Information needed | [
"# Dataset Card for \"amazon-shoe-reviews\"\n\nMore Information needed"
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ac4f9ccfd5b0a3f5d27f521daef7714abe0e890f | # Dataset Card for "amazon-shoe-reviews"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mse5357/amazon-shoe-reviews | [
"region:us"
] | 2023-05-09T13:18:08+00:00 | {"dataset_info": {"features": [{"name": "labels", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16847665.2, "num_examples": 90000}, {"name": "test", "num_bytes": 1871962.8, "num_examples": 10000}], "download_size": 11141108, "dataset_size": 18719628.0}} | 2023-05-09T13:18:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "amazon-shoe-reviews"
More Information needed | [
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73c99eb3a5d48c1f22c15adc45bd68038af8a866 | # Dataset Card for "CsFEVERv2"
## Dataset Description
CsFEVERv2 is a dataset for Czech fact-checking developed as part of a bachelor thesis at the Artificial Intelligence Center of the Faculty of Electrical Engineering of
the Czech technical university in Prague. The dataset consists of an **original** subset, which... | ctu-aic/csfever_v2 | [
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"arxiv:2201.... | 2023-05-09T13:19:36+00:00 | {"language": ["cs"], "license": "cc-by-sa-3.0", "multilinguality": "monolingual", "size_categories": ["100K<n<1M"], "source_datasets": "fever", "task_categories": ["text-classification", "text-retrieval"], "task_ids": ["natural-language-inference", "document-retrieval"], "pretty_name": "CsFEVERv2", "tags": ["Fact-check... | 2023-07-27T07:52:58+00:00 | [
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| Dataset Card for "CsFEVERv2"
============================
Dataset Description
-------------------
CsFEVERv2 is a dataset for Czech fact-checking developed as part of a bachelor thesis at the Artificial Intelligence Center of the Faculty of Electrical Engineering of
the Czech technical university in Prague. The data... | [
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"#### f1, precision, 07\n\n\nAn example of 'train' looks as follows.",
"#### original\\_nli, f1\\_nli, p... | [
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c3601d16ba8e826864a0f435272a15bc93f566ab | # Dataset Card for "Buy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lighteval/Buy | [
"region:us"
] | 2023-05-09T13:26:11+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "gold", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 80363, "num_examples": 469}, {"name": "valid", "num_bytes": 99497, "num_examples": 586}, {"name": "test", "num_bytes": 110198, "num_examples": 651}], "download_size": 11524... | 2023-05-09T13:26:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Buy"
More Information needed | [
"# Dataset Card for \"Buy\"\n\nMore Information needed"
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1d178c1fdc537a13eef77f17f4d8211e0c0ce806 | # Dataset Card for "VQAv2_test_left"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_left | [
"region:us"
] | 2023-05-09T13:29:18+00:00 | {"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_i... | 2023-05-12T07:24:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_left"
More Information needed | [
"# Dataset Card for \"VQAv2_test_left\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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e0fa6cea00a7cc270a6061a95e47581ae4ddb013 | # Dataset Card for "amazon-shoe-reviews"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sumanlama2000/amazon-shoe-reviews | [
"region:us"
] | 2023-05-09T13:29:48+00:00 | {"dataset_info": {"features": [{"name": "labels", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16847665.2, "num_examples": 90000}, {"name": "test", "num_bytes": 1871962.8, "num_examples": 10000}], "download_size": 11141108, "dataset_size": 18719628.0}} | 2023-05-09T13:30:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "amazon-shoe-reviews"
More Information needed | [
"# Dataset Card for \"amazon-shoe-reviews\"\n\nMore Information needed"
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6f64a211589b6d95caf16cc9ac7075e321852f7f | # Dataset Card for "Restaurant"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lighteval/Restaurant | [
"region:us"
] | 2023-05-09T13:30:40+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "gold", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 68968, "num_examples": 622}, {"name": "valid", "num_bytes": 86314, "num_examples": 778}, {"name": "test", "num_bytes": 95609, "num_examples": 864}], "download_size": 102295... | 2023-05-09T13:30:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Restaurant"
More Information needed | [
"# Dataset Card for \"Restaurant\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Restaurant\"\n\nMore Information needed"
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6a47c013b92ba7f61dbe87054e0f5f8ec43b8970 | # Summary
This is a Thai 🇹🇭-instructed dataset translated from `databricks-dolly-15k` using Google Cloud Translation.
`databricks-dolly-15k` is an open-source dataset of instruction-following records generated by thousands of Databricks employees in several behavioral
categories outlined in the InstructGPT paper, i... | Thaweewat/databricks-dolly-15k-th | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"instruction-finetuning",
"region:us"
] | 2023-05-09T14:13:01+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "summarization"], "tags": ["instruction-finetuning"]} | 2023-05-09T15:15:52+00:00 | [] | [
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#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-Thai #license-cc-by-sa-3.0 #instruction-finetuning #region-us
| # Summary
This is a Thai 🇹🇭-instructed dataset translated from 'databricks-dolly-15k' using Google Cloud Translation.
'databricks-dolly-15k' is an open-source dataset of instruction-following records generated by thousands of Databricks employees in several behavioral
categories outlined in the InstructGPT paper, i... | [
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2761b9bfad879f9e21c51e3fdbaa6993b4f1c8bf | # Summary
This is a Thai 🇹🇭-instructed dataset translated from cleaned version of the original Alpaca Dataset released by Stanford using Google Cloud Translation, contain 52,000 instructions and demonstrations generated by OpenAI's `text-davinci-003` engine.
This instruction data can be used to conduct instruction-... | Thaweewat/alpaca-cleaned-52k-th | [
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#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-Thai #license-cc-by-sa-3.0 #instruction-finetuning #region-us
| # Summary
This is a Thai 🇹🇭-instructed dataset translated from cleaned version of the original Alpaca Dataset released by Stanford using Google Cloud Translation, contain 52,000 instructions and demonstrations generated by OpenAI's 'text-davinci-003' engine.
This instruction data can be used to conduct instruction-... | [
"# Summary\n\nThis is a Thai 🇹🇭-instructed dataset translated from cleaned version of the original Alpaca Dataset released by Stanford using Google Cloud Translation, contain 52,000 instructions and demonstrations generated by OpenAI's 'text-davinci-003' engine. \nThis instruction data can be used to conduct inst... | [
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2a8d4eca2e91f725cc2cf34c5a4fcb3fdb1f173c | # Dataset Card for "wikisql"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | htriedman/wikisql | [
"language:en",
"region:us"
] | 2023-05-09T14:52:41+00:00 | {"language": "en", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 2822323, "num_examples": 15878}, {"name": "validation", "num_bytes": 1491147, "num_examples": 8421}, {"name"... | 2023-07-12T16:44:58+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| # Dataset Card for "wikisql"
More Information needed | [
"# Dataset Card for \"wikisql\"\n\nMore Information needed"
] | [
"TAGS\n#language-English #region-us \n",
"# Dataset Card for \"wikisql\"\n\nMore Information needed"
] | [
10,
13
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"passage: TAGS\n#language-English #region-us \n# Dataset Card for \"wikisql\"\n\nMore Information needed"
] |
c29c66cf42be81edd498097bfbfc05fddffc44e0 | # Burke Training Data Set
This is a set of blog posts that I've written over the years in .txt format. | burkeholland/burke | [
"region:us"
] | 2023-05-09T14:55:15+00:00 | {} | 2023-05-09T15:01:03+00:00 | [] | [] | TAGS
#region-us
| # Burke Training Data Set
This is a set of blog posts that I've written over the years in .txt format. | [
"# Burke Training Data Set\n\nThis is a set of blog posts that I've written over the years in .txt format."
] | [
"TAGS\n#region-us \n",
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45203d74241a2fd200c0c65a023580fa0010f6bc |
this is my first dataset made from 80k VGM midi tracks found on archive.org
| yankscally/midiset | [
"license:unknown",
"region:us"
] | 2023-05-09T15:15:33+00:00 | {"license": "unknown"} | 2023-05-09T15:30:09+00:00 | [] | [] | TAGS
#license-unknown #region-us
|
this is my first dataset made from 80k VGM midi tracks found on URL
| [] | [
"TAGS\n#license-unknown #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-unknown #region-us \n"
] |
70e3f0125a2415764c7bae7a47d01426fac3e7e9 | # Dataset Card for "oasst_hh_shp_hellaswag_webgpt_rm_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pvduy/oasst_hh_shp_hellaswag_webgpt_rm_dataset | [
"region:us"
] | 2023-05-09T15:35:16+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "replies", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 395107894, "num_examples": 264534}, {"name": "test", "num_bytes": 5742299, "num_examples": 2874}], "download_size": 225578359, "dataset_size": 400850193}} | 2023-05-09T15:35:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oasst_hh_shp_hellaswag_webgpt_rm_dataset"
More Information needed | [
"# Dataset Card for \"oasst_hh_shp_hellaswag_webgpt_rm_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"oasst_hh_shp_hellaswag_webgpt_rm_dataset\"\n\nMore Information needed"
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6,
32
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"passage: TAGS\n#region-us \n# Dataset Card for \"oasst_hh_shp_hellaswag_webgpt_rm_dataset\"\n\nMore Information needed"
] |
d7d299ddffa7eae0cdab8e1a3c093536b1018d87 |
# Summary
This is a 🇹🇭 Thai-instructed dataset translated from [InstructionWild](https://github.com/XueFuzhao/InstructionWild) using Google Cloud Translation.
It contains 52,191 English and 51,504 Chinese instructions, which are collected from Twitter, where users tend to share their interesting prompts of mostly g... | Thaweewat/instruction-wild-52k-th | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"instruction-finetuning",
"region:us"
] | 2023-05-09T15:53:22+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "summarization"], "tags": ["instruction-finetuning"]} | 2023-05-09T18:05:42+00:00 | [] | [
"th"
] | TAGS
#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-Thai #license-cc-by-sa-3.0 #instruction-finetuning #region-us
|
# Summary
This is a 🇹🇭 Thai-instructed dataset translated from InstructionWild using Google Cloud Translation.
It contains 52,191 English and 51,504 Chinese instructions, which are collected from Twitter, where users tend to share their interesting prompts of mostly generation, open QA, and mind-storm types
which a... | [
"# Summary\n\nThis is a 🇹🇭 Thai-instructed dataset translated from InstructionWild using Google Cloud Translation.\nIt contains 52,191 English and 51,504 Chinese instructions, which are collected from Twitter, where users tend to share their interesting prompts of mostly generation, open QA, and mind-storm types\... | [
"TAGS\n#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-Thai #license-cc-by-sa-3.0 #instruction-finetuning #region-us \n",
"# Summary\n\nThis is a 🇹🇭 Thai-instructed dataset translated from InstructionWild using Google Cloud Translation.\nIt contains 52,19... | [
62,
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511f859c7ca9552b099245f537bc5f82c5464977 | # Dataset Card for "dataset_test2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ThraggBilly/dataset_test2 | [
"region:us"
] | 2023-05-09T15:56:21+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 352888.0, "num_examples": 10}], "download_size": 347825, "dataset_size": 352888.0}} | 2023-05-09T15:56:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_test2"
More Information needed | [
"# Dataset Card for \"dataset_test2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dataset_test2\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"dataset_test2\"\n\nMore Information needed"
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f0d005ade9257248e8eea0891cd031187fdc0826 | # Dataset Card for "test_dataset3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ThraggBilly/flickr30k_dataset | [
"region:us"
] | 2023-05-09T16:26:42+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4178820473.876, "num_examples": 31783}], "download_size": 4402850196, "dataset_size": 4178820473.876}} | 2023-05-09T16:31:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_dataset3"
More Information needed | [
"# Dataset Card for \"test_dataset3\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"test_dataset3\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"test_dataset3\"\n\nMore Information needed"
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d378341a06b566b4de10d68e340f5e558039a2f9 | # Dataset Card for "buryat-russian_parallel_corpus"
Датасет состоит из 38260 пар на русском и бурятском языках. Из них 19411 пар предложений и 20058 пар слов. <br/>
Статистика по источникам: <br/>
<br/>
библия 7519 <br/>
книги 5250 <br/>
татоеба 807 <br/>
стихи 471 <br/>
стихи Нимбуев 1210 <br/>
слов... | SaranaAbidueva/buryat-russian_parallel_corpus | [
"language:ru",
"license:cc-by-4.0",
"region:us"
] | 2023-05-09T16:33:45+00:00 | {"language": ["ru"], "license": "cc-by-4.0", "dataset_info": {"features": [{"name": "bxr", "dtype": "string"}, {"name": "ru", "dtype": "string"}, {"name": "corpus", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8989074, "num_examples": 38260}], "download_size": 4394110, "dataset_size": 8989074}} | 2023-05-14T11:15:39+00:00 | [] | [
"ru"
] | TAGS
#language-Russian #license-cc-by-4.0 #region-us
| # Dataset Card for "buryat-russian_parallel_corpus"
Датасет состоит из 38260 пар на русском и бурятском языках. Из них 19411 пар предложений и 20058 пар слов. <br/>
Статистика по источникам: <br/>
<br/>
библия 7519 <br/>
книги 5250 <br/>
татоеба 807 <br/>
стихи 471 <br/>
стихи Нимбуев 1210 <br/>
слов... | [
"# Dataset Card for \"buryat-russian_parallel_corpus\"\n\nДатасет состоит из 38260 пар на русском и бурятском языках. Из них 19411 пар предложений и 20058 пар слов. <br/> \nСтатистика по источникам: <br/> \n<br/> \nбиблия 7519 <br/> \nкниги 5250 <br/> \nтатоеба 807 <br/> \nстихи 471 <br/> \nстихи Нимбуев ... | [
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a8861698d08834141139d34540d3810baef38a4d |
# Summary
This is a 🇹🇭 Thai-instructed dataset translated using Google Cloud Translation from [GPTeacher](https://github.com/teknium1/GPTeacher), A collection of modular datasets generated by GPT-4, General-Instruct & Roleplay-Instruct
and is comprised of around 20,000 examples with deduplication. The dataset was a... | Thaweewat/gpteacher-20k-th | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"instruction-finetuning",
"region:us"
] | 2023-05-09T16:34:31+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "summarization"], "tags": ["instruction-finetuning"]} | 2023-05-09T16:54:22+00:00 | [] | [
"th"
] | TAGS
#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-Thai #license-cc-by-sa-3.0 #instruction-finetuning #region-us
|
# Summary
This is a 🇹🇭 Thai-instructed dataset translated using Google Cloud Translation from GPTeacher, A collection of modular datasets generated by GPT-4, General-Instruct & Roleplay-Instruct
and is comprised of around 20,000 examples with deduplication. The dataset was asked to include reasoning and thought ste... | [
"# Summary\nThis is a 🇹🇭 Thai-instructed dataset translated using Google Cloud Translation from GPTeacher, A collection of modular datasets generated by GPT-4, General-Instruct & Roleplay-Instruct \nand is comprised of around 20,000 examples with deduplication. The dataset was asked to include reasoning and thoug... | [
"TAGS\n#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-Thai #license-cc-by-sa-3.0 #instruction-finetuning #region-us \n",
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2e3b232b4e73f7f9fdd2d2dbd04132223c652fb9 |
### Dataset Summary
A bunch of datasets preprocessed and formatted with https://github.com/openai/openai-python/blob/main/chatml.md (with an addition of a context message to help RWKV (no lookback))
The dataset makes use of two more tokens. You will need to use the supplied 20b_tokeniser file with both training and i... | m8than/raccoon_instruct_mini | [
"region:us"
] | 2023-05-09T17:23:35+00:00 | {} | 2023-05-09T22:25:31+00:00 | [] | [] | TAGS
#region-us
|
### Dataset Summary
A bunch of datasets preprocessed and formatted with URL (with an addition of a context message to help RWKV (no lookback))
The dataset makes use of two more tokens. You will need to use the supplied 20b_tokeniser file with both training and inference.
### Languages
English mainly, might be a few... | [
"### Dataset Summary\n\nA bunch of datasets preprocessed and formatted with URL (with an addition of a context message to help RWKV (no lookback))\nThe dataset makes use of two more tokens. You will need to use the supplied 20b_tokeniser file with both training and inference.",
"### Languages\n\nEnglish mainly, m... | [
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"### Langu... | [
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33372139b09ff52defe905c9daed480ad77395a0 |
# Summary
This is a 🇹🇭 Thai-instructed dataset translated using Google Cloud Translation from [HC3](https://huggingface.co/datasets/Hello-SimpleAI/HC3)
( Included total **24K**, 17K reddit_eli5, 4K finance, 1.2K medicine, 1.2K open_qa and 0.8K wiki_csai )
The first human-ChatGPT comparison corpus which is introduce... | Thaweewat/hc3-24k-th | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"instruction-finetuning",
"arxiv:2301.07597",
"region:us"
] | 2023-05-09T17:38:41+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "summarization"], "tags": ["instruction-finetuning"]} | 2023-05-09T18:23:15+00:00 | [
"2301.07597"
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"th"
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|
# Summary
This is a 🇹🇭 Thai-instructed dataset translated using Google Cloud Translation from HC3
( Included total 24K, 17K reddit_eli5, 4K finance, 1.2K medicine, 1.2K open_qa and 0.8K wiki_csai )
The first human-ChatGPT comparison corpus which is introduced in this paper:
- How Close is ChatGPT to Human Experts?... | [
"# Summary\nThis is a 🇹🇭 Thai-instructed dataset translated using Google Cloud Translation from HC3\n( Included total 24K, 17K reddit_eli5, 4K finance, 1.2K medicine, 1.2K open_qa and 0.8K wiki_csai )\n\nThe first human-ChatGPT comparison corpus which is introduced in this paper: \n- How Close is ChatGPT to Human... | [
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7f2941cca2e8c974806ee3a5a0716df911306350 |
# Summary
🇹🇭 Thai-instructed dataset translated from [gbharti/wealth-alpaca_lora](https://huggingface.co/datasets/gbharti/wealth-alpaca_lora) using Google Cloud Translation.
This dataset is a combination of Stanford's Alpaca (https://github.com/tatsu-lab/stanford_alpaca) and FiQA (https://sites.google.com/view/fiqa... | Thaweewat/alpaca-finance-43k-th | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"instruction-finetuning",
"region:us"
] | 2023-05-09T18:01:32+00:00 | {"language": ["th"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "summarization"], "tags": ["instruction-finetuning"]} | 2023-05-09T18:05:48+00:00 | [] | [
"th"
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#task_categories-question-answering #task_categories-summarization #size_categories-10K<n<100K #language-Thai #license-cc-by-sa-3.0 #instruction-finetuning #region-us
|
# Summary
🇹🇭 Thai-instructed dataset translated from gbharti/wealth-alpaca_lora using Google Cloud Translation.
This dataset is a combination of Stanford's Alpaca (URL and FiQA (URL with another 1.3k pairs custom generated using GPT3.5
Script for tuning through Kaggle's (URL) free resources using PEFT/LoRa: URL
Su... | [
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1347588118f8917698baeec4bce39cc888d2e74f | # Dataset Card for "hed_filter"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mingyy/hed_filter | [
"region:us"
] | 2023-05-09T18:21:01+00:00 | {"dataset_info": {"features": [{"name": "hed", "dtype": "image"}, {"name": "Unnamed: 0", "dtype": "int64"}, {"name": "filename", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8381375865.03, "num_examples": 52582}], "download_size": 7857481203, "dataset_size": 8381375865.03}} | 2023-05-09T19:02:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hed_filter"
More Information needed | [
"# Dataset Card for \"hed_filter\"\n\nMore Information needed"
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e8f53d148736c3f40e7364006ddca7eba5013354 | # myanimelist-embeddings
This dataset is every non-empty anime synopsis from [MyAnimeList.net](https://myanimelist.net) ran
through the `embed-multilingual-v2.0` embedding model from [Cohere AI](https://cohere.com).
## Sample code for searching for anime
Install some dependencies
```
pip install cohere==4.4.1 datase... | abatilo/myanimelist-embeddings | [
"task_categories:text-classification",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | 2023-05-09T18:28:09+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "summarization"], "pretty_name": "MyAnimeList Embeddings"} | 2023-05-09T19:51:17+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-summarization #size_categories-10K<n<100K #language-English #license-mit #region-us
| # myanimelist-embeddings
This dataset is every non-empty anime synopsis from URL ran
through the 'embed-multilingual-v2.0' embedding model from Cohere AI.
## Sample code for searching for anime
Install some dependencies
Code heavily inspired by the Cohere Wikipedia embeddings sample
## Sample search queries
###... | [
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"## Sample code for searching for anime\n\nInstall some dependencies\n\n\nCode heavily inspired by the Cohere Wikipedia embeddings sample",
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0222d17a20864daddedb4deb78cc507b691c38ce | # Dataset Card for "opam-source"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sadiqj/opam-source | [
"region:us"
] | 2023-05-09T18:36:29+00:00 | {"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "data", "dtype": "string"}, {"name": "license", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1112023408.5842562, "num_examples": 114769}, {"name": "test", "num_bytes": 58532647.41574373, "num_examples": 6041}], "download_... | 2023-06-03T19:36:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "opam-source"
More Information needed | [
"# Dataset Card for \"opam-source\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"opam-source\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"opam-source\"\n\nMore Information needed"
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d8cd76ab6a28b7c54b127c89c98e9edacddec629 | # Dataset Card for "TACO_Test_Reformatted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | RandyHuynh5815/TACO_Test_Reformatted | [
"region:us"
] | 2023-05-09T18:38:49+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "categories", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 2720258641.5, "num_examples": 1500}], "download_size": 2621965640, "dataset_size": 2720258641.5}} | 2023-05-09T19:02:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TACO_Test_Reformatted"
More Information needed | [
"# Dataset Card for \"TACO_Test_Reformatted\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"TACO_Test_Reformatted\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"TACO_Test_Reformatted\"\n\nMore Information needed"
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2b4aef76bbe4d4f538b368fc48a94fbb7ef60aa6 | # Dataset Card for "la_en_parallel_wrapped"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | grosenthal/la_en_parallel_wrapped | [
"region:us"
] | 2023-05-09T18:50:24+00:00 | {"dataset_info": {"features": [{"name": "translation", "struct": [{"name": "en", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "la", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 38435471, "num_examples": 99343}, {"name": "test", "num_bytes": 3971... | 2023-05-09T18:50:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "la_en_parallel_wrapped"
More Information needed | [
"# Dataset Card for \"la_en_parallel_wrapped\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"la_en_parallel_wrapped\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"la_en_parallel_wrapped\"\n\nMore Information needed"
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8eebca76b96437bbcaf74d22d40b3d6884018ae3 | # Dataset Card for "source_filter"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mingyy/source_filter | [
"region:us"
] | 2023-05-09T19:02:02+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "image"}, {"name": "Unnamed: 0", "dtype": "int64"}, {"name": "filename", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35130969894.44, "num_examples": 52564}], "download_size": 5459000038, "dataset_size": 35130969894.44}} | 2023-05-10T05:03:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "source_filter"
More Information needed | [
"# Dataset Card for \"source_filter\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"source_filter\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"source_filter\"\n\nMore Information needed"
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ca9342eb5eadaba0cf63453b2a336aba07a28804 |
# IVA Swift GitHub Code Dataset
## Dataset Description
This is the curated IVA Swift dataset extracted from GitHub.
It contains curated Swift files gathered with the purpose to train a code generation model.
The dataset consists of 383380 swift code files from GitHub totaling ~542MB of data.
The [uncurated](https... | mvasiliniuc/iva-swift-codeint-clean | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"size_categories:100K<n<1M",
"language:code",
"license:other",
"code, swift, native iOS development, curated",
"region:us"
] | 2023-05-09T19:20:44+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["code"], "license": "other", "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "iva-swift-codeint-clean", "tags": ["code, swift,... | 2023-06-15T13:48:16+00:00 | [] | [
"code"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-crowdsourced #language_creators-crowdsourced #size_categories-100K<n<1M #language-code #license-other #code, swift, native iOS development, curated #region-us
| IVA Swift GitHub Code Dataset
=============================
Dataset Description
-------------------
This is the curated IVA Swift dataset extracted from GitHub.
It contains curated Swift files gathered with the purpose to train a code generation model.
The dataset consists of 383380 swift code files from GitHub t... | [
"### How to use it\n\n\nTo download the full dataset:\n\n\nData Structure\n--------------",
"### Data Fields\n\n\nField: repo\\_name, Type: string, Description: name of the GitHub repository\nField: path, Type: string, Description: path of the file in GitHub repository\nField: copies, Type: string, Description: n... | [
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dbf02e80d52986b6636a3c1f039c2b5292f83a43 |
curr. size: 53,081 videos
goal (todo): 100,000+ | TempoFunk/medium | [
"task_categories:text-to-video",
"size_categories:10K<n<100K",
"language:en",
"license:agpl-3.0",
"region:us"
] | 2023-05-09T19:29:08+00:00 | {"language": ["en"], "license": "agpl-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-to-video"], "pretty_name": "Medium"} | 2023-05-13T06:50:37+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-video #size_categories-10K<n<100K #language-English #license-agpl-3.0 #region-us
|
curr. size: 53,081 videos
goal (todo): 100,000+ | [] | [
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47686238fa95dfe572822b4c02b1ae059d39c0b4 | # Dataset Card for "trivy-go-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | arkaprav0/trivy-go-test | [
"region:us"
] | 2023-05-09T20:46:08+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "package_name", "dtype": "string"}, {"name": "installed_version", "dtype": "string"}, {"name": "affected_range", "dtype": "string"}, {"name": "fixed_version", "dtype": "string"}, {"name": "is_false_positive", "dtype": "int64"}], "splits": [{"nam... | 2023-05-09T21:02:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "trivy-go-test"
More Information needed | [
"# Dataset Card for \"trivy-go-test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"trivy-go-test\"\n\nMore Information needed"
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c4baf1b50ffeac2d1028fc1f6403ddaa014b8568 | # Distilled CNN/DailyMail Dataset
This folder contains the distilled data and dataset loading script to build a dataset on top of it.
- `cnn_bart_pl` is downloaded from [Saved Pseudo-Labels](https://github.com/huggingface/transformers/blob/main/examples/research_projects/seq2seq-distillation/precomputed_pseudo_labels... | yuyang/distil_cnndm | [
"region:us"
] | 2023-05-09T20:49:50+00:00 | {} | 2023-05-14T03:21:46+00:00 | [] | [] | TAGS
#region-us
| # Distilled CNN/DailyMail Dataset
This folder contains the distilled data and dataset loading script to build a dataset on top of it.
- 'cnn_bart_pl' is downloaded from Saved Pseudo-Labels, which is generated by facebook/bart-large-cnn, this corresponds to version "1.0.0". It contains train/validataion/test splits.
-... | [
"# Distilled CNN/DailyMail Dataset\n\nThis folder contains the distilled data and dataset loading script to build a dataset on top of it.\n\n- 'cnn_bart_pl' is downloaded from Saved Pseudo-Labels, which is generated by facebook/bart-large-cnn, this corresponds to version \"1.0.0\". It contains train/validataion/tes... | [
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"# Distilled CNN/DailyMail Dataset\n\nThis folder contains the distilled data and dataset loading script to build a dataset on top of it.\n\n- 'cnn_bart_pl' is downloaded from Saved Pseudo-Labels, which is generated by facebook/bart-large-cnn, this corresponds to version \"1.0.0\". It conta... | [
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1f19ff25c54478613acb493cb5d2b9f595e5c37d |
Originally from [here](https://github.com/amazon-science/dstc11-track2-intent-induction/tree/969b95a0d7365fbc6cd0e05989f1be6b44e6680c/dstc11) | gneubig/dstc11 | [
"license:other",
"region:us"
] | 2023-05-09T23:21:43+00:00 | {"license": "other"} | 2023-05-10T00:07:12+00:00 | [] | [] | TAGS
#license-other #region-us
|
Originally from here | [] | [
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11
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35ab144886d0e0563244a2569060ef6bb55eefef |
koishi instruct metharme dataset, currently 414862 lines
- oasst is from ewof/oasst-convo-unfiltered-deduped
- sharegpt (vicuna) is from ewof/sharegpt-instruct-unfiltered-deduped
- dolly is from ewof/dolly-instruct-unfiltered-deduped
- hh-rlhf is from ewof/hh-rlhf-instruct-unfiltered-deduped
- self_instruct is from e... | ewof/koishi-instruct-metharme | [
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-05-10T00:17:40+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "pretty_name": "koishi instruct metharme", "viewer": false} | 2024-02-02T04:22:55+00:00 | [] | [
"en"
] | TAGS
#size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us
|
koishi instruct metharme dataset, currently 414862 lines
- oasst is from ewof/oasst-convo-unfiltered-deduped
- sharegpt (vicuna) is from ewof/sharegpt-instruct-unfiltered-deduped
- dolly is from ewof/dolly-instruct-unfiltered-deduped
- hh-rlhf is from ewof/hh-rlhf-instruct-unfiltered-deduped
- self_instruct is from e... | [] | [
"TAGS\n#size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us \n"
] | [
30
] | [
"passage: TAGS\n#size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us \n"
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318b67acb6aa53813bdde729c47cd608ec3cc826 |
copy from https://huggingface.co/datasets/vctk
and support set data_files
use-eg.
```python
ds = load_dataset(f'SeanSleat/vctk',data_files='/path/to/VCTK-Corpus-0.92.zip')
```
| SeanSleat/vctk | [
"region:us"
] | 2023-05-10T00:28:08+00:00 | {} | 2023-05-10T00:35:43+00:00 | [] | [] | TAGS
#region-us
|
copy from URL
and support set data_files
use-eg.
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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99e00aa0ed8bae137886964c0046b6eaab01dfe9 |
# DivSumm summarization dataset
Dataset introduced in the paper: Analyzing the Dialect Diversity in Multi-document Summaries (COLING 2022)
_Olubusayo Olabisi, Aaron Hudson, Antonie Jetter, Ameeta Agrawal_
DivSumm is a novel dataset consisting of dialect-diverse tweets and human-written extractive and abstractive su... | Bisi/DivSumm | [
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:text2text-generation",
"region:us"
] | 2023-05-10T00:31:36+00:00 | {"task_categories": ["summarization", "text-generation", "text2text-generation"]} | 2023-05-10T02:02:22+00:00 | [] | [] | TAGS
#task_categories-summarization #task_categories-text-generation #task_categories-text2text-generation #region-us
|
# DivSumm summarization dataset
Dataset introduced in the paper: Analyzing the Dialect Diversity in Multi-document Summaries (COLING 2022)
_Olubusayo Olabisi, Aaron Hudson, Antonie Jetter, Ameeta Agrawal_
DivSumm is a novel dataset consisting of dialect-diverse tweets and human-written extractive and abstractive su... | [
"# DivSumm summarization dataset\n\nDataset introduced in the paper: Analyzing the Dialect Diversity in Multi-document Summaries (COLING 2022)\n_Olubusayo Olabisi, Aaron Hudson, Antonie Jetter, Ameeta Agrawal_\n\n\nDivSumm is a novel dataset consisting of dialect-diverse tweets and human-written extractive and abst... | [
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bd38dca7ba17ad5f324822e5635caba19789e000 | This dataset is databricks/databricks-dolly-15k unfiltered and deduped, removing 640 instances of blatant alignment and 14 duplicates.
14357 instructions remain.
clean.py was first ran on https://huggingface.co/datasets/databricks/databricks-dolly-15k/blob/d72c16e4644a463b9c678c71d9440befd4594556/databricks-dolly-15k.... | ewof/dolly-instruct-unfiltered-deduped | [
"region:us"
] | 2023-05-10T00:39:20+00:00 | {} | 2023-05-13T02:54:10+00:00 | [] | [] | TAGS
#region-us
| This dataset is databricks/databricks-dolly-15k unfiltered and deduped, removing 640 instances of blatant alignment and 14 duplicates.
14357 instructions remain.
URL was first ran on URL and then URL was ran on it. renamed to .json not .jsonl
inspired by URL
All credit to anon8231489123 for the cleanup script that I... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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fc191943f068d044cbe963c365c0a59384699ee1 |
# Dataset Card for `arxiv_astro_co_ga`
## 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](#datas... | mehnaazasad/arxiv_astro_co_ga | [
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"arxiv:1905.00075",
"region:us"
] | 2023-05-10T00:54:30+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["summarization"]} | 2023-05-10T01:47:29+00:00 | [
"1905.00075"
] | [
"en"
] | TAGS
#task_categories-summarization #size_categories-10K<n<100K #language-English #license-mit #arxiv-1905.00075 #region-us
| Dataset Card for 'arxiv\_astro\_co\_ga'
=======================================
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
+ ... | [
"### Dataset Summary\n\n\nThis is a dataset consisting of titles and abstracts for all Cosmology and Galaxy Astrophysics arXiv articles to date (99,659 papers).",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nEnglish\n\n\nDataset Structure\n-----------------",
"### Data Instances",
"### Data F... | [
"TAGS\n#task_categories-summarization #size_categories-10K<n<100K #language-English #license-mit #arxiv-1905.00075 #region-us \n",
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b11930911764dab4e9a294c5b22779491aaec9db | This dataset is https://github.com/tatsu-lab/stanford_alpaca unfiltered, removing 2095 instances of blatant alignment.
49907 instructions remain.
clean.py was first ran on https://github.com/tatsu-lab/stanford_alpaca/blob/65512697dc67779a6e53c267488aba0ec4d7c02a/alpaca_data.json
normal dedupe.py script didn't find an... | ewof/alpaca-instruct-unfiltered | [
"region:us"
] | 2023-05-10T00:55:07+00:00 | {} | 2023-05-13T02:54:52+00:00 | [] | [] | TAGS
#region-us
| This dataset is URL unfiltered, removing 2095 instances of blatant alignment.
49907 instructions remain.
URL was first ran on URL
normal URL script didn't find any dupes here.
inspired by URL
All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
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731b87e75038c2ac2fae498d80e9f46da2e432ff | # Dataset Card for ChemSum
## ChemSum Description
<!---- **Homepage:**
- **Leaderboard:**
----->
- **Paper:** [What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization ](https://arxiv.org/abs/2305.07615)
- **Journal:** ACL 2023
- **Point of Contact:** gr... | griffin/ChemSum | [
"task_categories:summarization",
"size_categories:100K<n<1M",
"language:en",
"chemistry",
"biology",
"medical",
"arxiv:2305.07615",
"region:us"
] | 2023-05-10T01:05:05+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["summarization"], "pretty_name": "Generating Abstracts of Academic Chemistry Papers", "tags": ["chemistry", "biology", "medical"]} | 2024-01-20T12:38:53+00:00 | [
"2305.07615"
] | [
"en"
] | TAGS
#task_categories-summarization #size_categories-100K<n<1M #language-English #chemistry #biology #medical #arxiv-2305.07615 #region-us
| Dataset Card for ChemSum
========================
ChemSum Description
-------------------
* Paper: What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
* Journal: ACL 2023
* Point of Contact: URL@URL
* Repository: URL
### ChemSum Summary
We intro... | [
"### ChemSum Summary\n\n\nWe introduce a dataset with a pure chemistry focus by compiling a list of chemistry academic journals with Open-Access articles. For each journal, we downloaded full-text article PDFs from the Open-Access portion of the journal using available APIs, or scraping this content using Selenium ... | [
"TAGS\n#task_categories-summarization #size_categories-100K<n<1M #language-English #chemistry #biology #medical #arxiv-2305.07615 #region-us \n",
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94f8a39ed6cc74cadf4066649c363ce2f30f6bbd | This dataset is https://github.com/yizhongw/self-instruct unfiltered and deduped, removing 1600 instances of blatant alignment and 26 duplicates.
80813 instructions remain.
clean.py was first ran on https://github.com/yizhongw/self-instruct/blob/0b26ccaa415992100fa32df62d41b994cf928e23/data/gpt3_generations/batch_2212... | ewof/self-instruct-unfiltered-deduped | [
"region:us"
] | 2023-05-10T01:14:49+00:00 | {} | 2023-09-30T23:24:21+00:00 | [] | [] | TAGS
#region-us
| This dataset is URL unfiltered and deduped, removing 1600 instances of blatant alignment and 26 duplicates.
80813 instructions remain.
URL was first ran on URL and then URL was ran on it, renamed to .json not .jsonl
inspired by URL
All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
85afd7905aff4cb28943721ba03a719544460e03 | This dataset is HuggingFaceH4/instruction-dataset unfiltered, removing 10 instances of blatant alignment.
317 instructions remain.
clean.py was first ran on https://huggingface.co/datasets/HuggingFaceH4/instruction-dataset/blob/fc50699d275ed86a072f1166f7390473176719fd/step3-eval.jsonl then renamed to .json not .jsonl
... | ewof/hf-instruction-unfiltered | [
"region:us"
] | 2023-05-10T01:37:57+00:00 | {} | 2023-05-13T02:53:15+00:00 | [] | [] | TAGS
#region-us
| This dataset is HuggingFaceH4/instruction-dataset unfiltered, removing 10 instances of blatant alignment.
317 instructions remain.
URL was first ran on URL then renamed to .json not .jsonl
normal URL script didn't find any dupes here.
inspired by URL
All credit to anon8231489123 for the cleanup script that I adapte... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
7debe71f9ec341529b302a5987b25c3d52062c0c | This dataset is HuggingFaceH4/asss unfiltered and deduped, removing 29 instances of blatant alignment and 21 duplicates.
398 instructions remain.
clean.py was first ran on https://huggingface.co/datasets/HuggingFaceH4/asss/blob/122c06526f06a25c54614c1f5c63b4c3f51e96fb/surge-scale-si-aws-dataset.jsonl and then dedupe.p... | ewof/asss-unfiltered-deduped | [
"region:us"
] | 2023-05-10T01:47:43+00:00 | {} | 2023-05-13T02:54:20+00:00 | [] | [] | TAGS
#region-us
| This dataset is HuggingFaceH4/asss unfiltered and deduped, removing 29 instances of blatant alignment and 21 duplicates.
398 instructions remain.
URL was first ran on URL and then URL was ran on it. renamed to .json not .jsonl
inspired by URL
All credit to anon8231489123 for the cleanup script that I adapted to wiza... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
b272a70d18dfe10ded959dc8a31ea89461355acb | # Dataset Card for "THUCNewsText"
这是[seamew/THUCNewsText](https://huggingface.co/datasets/seamew/THUCNewsText)的克隆，试图解决谷歌硬盘国内无法访问的问题443
```python
from datasets import load_dataset
datasets = load_dataset("seamew/THUCNewsText")
datasets.push_to_hub("oyxy2019/THUCNewsText")
``` | oyxy2019/THUCNewsText | [
"region:us"
] | 2023-05-10T01:59:44+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "education", "1": "entertainment", "2": "fashion", "3": "finance", "4": "game", "5": "politic", "6": "society", "7": "sport", "8": "stock", "9": "technology"}}}}], "splits": [{"name": "train", ... | 2023-05-10T02:05:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "THUCNewsText"
这是seamew/THUCNewsText的克隆，试图解决谷歌硬盘国内无法访问的问题443
| [
"# Dataset Card for \"THUCNewsText\"\n\n这是seamew/THUCNewsText的克隆，试图解决谷歌硬盘国内无法访问的问题443"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"THUCNewsText\"\n\n这是seamew/THUCNewsText的克隆，试图解决谷歌硬盘国内无法访问的问题443"
] |
8323a5248b9abfb9e5aa12293cea1977cf8ee203 | # Dataset Card for "IMDB_helm"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lighteval/IMDB_helm | [
"region:us"
] | 2023-05-10T06:26:09+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "reference", "dtype": "string"}, {"name": "contrast_input", "dtype": "string"}, {"name": "contrast_references", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 32956831, "num_examples": 25000}, {"name": "train", "num_bytes": 340... | 2023-05-10T07:17:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "IMDB_helm"
More Information needed | [
"# Dataset Card for \"IMDB_helm\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"IMDB_helm\"\n\nMore Information needed"
] | [
6,
15
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"passage: TAGS\n#region-us \n# Dataset Card for \"IMDB_helm\"\n\nMore Information needed"
] |
dfecd585c9b5c8fe56e8d7809d5b3cf710668dff | # RVL-CDIP Small-200 Dataset
## Dataset Summary
This is a subset of the RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset, containing 200 samples per class for a total of 3,200 samples. The dataset consists of scanned document images in TIFF format, collected from various sources. The docu... | vaclavpechtor/rvl_cdip-small-200 | [
"region:us"
] | 2023-05-10T06:34:29+00:00 | {} | 2023-05-10T06:36:15+00:00 | [] | [] | TAGS
#region-us
| # RVL-CDIP Small-200 Dataset
## Dataset Summary
This is a subset of the RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset, containing 200 samples per class for a total of 3,200 samples. The dataset consists of scanned document images in TIFF format, collected from various sources. The docu... | [
"# RVL-CDIP Small-200 Dataset",
"## Dataset Summary\n\nThis is a subset of the RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset, containing 200 samples per class for a total of 3,200 samples. The dataset consists of scanned document images in TIFF format, collected from various source... | [
"TAGS\n#region-us \n",
"# RVL-CDIP Small-200 Dataset",
"## Dataset Summary\n\nThis is a subset of the RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset, containing 200 samples per class for a total of 3,200 samples. The dataset consists of scanned document images in TIFF format, coll... | [
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"passage: TAGS\n#region-us \n# RVL-CDIP Small-200 Dataset## Dataset Summary\n\nThis is a subset of the RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset, containing 200 samples per class for a total of 3,200 samples. The dataset consists of scanned document images in TIFF format, collect... |
16b3faeff2312f237cea9e3e57f39193dcb5fe7c | # Dataset Card for "rmh_tokenized_2048"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stoddur/rmh_tokenized_2048 | [
"region:us"
] | 2023-05-10T06:38:20+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 22982206896, "num_examples": 2804076}], "download_size": 3578440618, "dataset_size": 22982206896}} | 2023-05-10T07:41:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rmh_tokenized_2048"
More Information needed | [
"# Dataset Card for \"rmh_tokenized_2048\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"rmh_tokenized_2048\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"rmh_tokenized_2048\"\n\nMore Information needed"
] |
e3277973eb38ce39e2f2b6ed22d14909d3dba2c6 |
## 内容
包含约350万条由[BELLE](https://github.com/LianjiaTech/BELLE)项目生成的中文指令数据。
## 样例
```
{
"id":"66623028",
"conversations":[
{
"from":"human",
"value":"归纳介绍三种不同类型的电影题材"
},
{
"from":"assistant",
"value":"1. 动作片：动作片通常强调动作和战斗场面，故事情节紧凑，充满了紧张和兴奋的氛围... | BelleGroup/train_3.5M_CN | [
"task_categories:text2text-generation",
"size_categories:1M<n<10M",
"language:zh",
"license:gpl-3.0",
"region:us"
] | 2023-05-10T06:45:23+00:00 | {"language": ["zh"], "license": "gpl-3.0", "size_categories": ["1M<n<10M"], "task_categories": ["text2text-generation"]} | 2023-08-16T05:13:59+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text2text-generation #size_categories-1M<n<10M #language-Chinese #license-gpl-3.0 #region-us
|
## 内容
包含约350万条由BELLE项目生成的中文指令数据。
## 样例
### 字段：
### 补充：
针对该数据集，新增了指令类别字段，共包括13个类别，详情见
train_3.5M_CN_With_Category
## 使用限制
仅允许将此数据集及使用此数据集生成的衍生物用于研究目的，不得用于商业，以及其他会对社会带来危害的用途。
本数据集不代表任何一方的立场、利益或想法，无关任何团体的任何类型的主张。因使用本数据集带来的任何损害、纠纷，本项目不承担任何责任。 | [
"## 内容\n包含约350万条由BELLE项目生成的中文指令数据。",
"## 样例",
"### 字段：",
"### 补充：\n针对该数据集，新增了指令类别字段，共包括13个类别，详情见\ntrain_3.5M_CN_With_Category",
"## 使用限制\n仅允许将此数据集及使用此数据集生成的衍生物用于研究目的，不得用于商业，以及其他会对社会带来危害的用途。\n本数据集不代表任何一方的立场、利益或想法，无关任何团体的任何类型的主张。因使用本数据集带来的任何损害、纠纷，本项目不承担任何责任。"
] | [
"TAGS\n#task_categories-text2text-generation #size_categories-1M<n<10M #language-Chinese #license-gpl-3.0 #region-us \n",
"## 内容\n包含约350万条由BELLE项目生成的中文指令数据。",
"## 样例",
"### 字段：",
"### 补充：\n针对该数据集，新增了指令类别字段，共包括13个类别，详情见\ntrain_3.5M_CN_With_Category",
"## 使用限制\n仅允许将此数据集及使用此数据集生成的衍生物用于研究目的，不得用于商业，以及其他会对社会带来危... | [
44,
19,
4,
6,
40,
80
] | [
"passage: TAGS\n#task_categories-text2text-generation #size_categories-1M<n<10M #language-Chinese #license-gpl-3.0 #region-us \n## 内容\n包含约350万条由BELLE项目生成的中文指令数据。## 样例### 字段：### 补充：\n针对该数据集，新增了指令类别字段，共包括13个类别，详情见\ntrain_3.5M_CN_With_Category## 使用限制\n仅允许将此数据集及使用此数据集生成的衍生物用于研究目的，不得用于商业，以及其他会对社会带来危害的用途。\n本数据集不代表任何一方的立场... |
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