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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e2459c4507d410523e79bccf38a9eafbe795262e | # Dataset Card for "Experimental-Speech-Salt-Ateso-16k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sunbird/Experimental-Speech-Salt-Ateso-16k | [
"region:us"
] | 2023-06-17T03:05:30+00:00 | {"dataset_info": {"features": [{"name": "audio", "sequence": {"sequence": "float32"}}, {"name": "sample_rate", "dtype": "int64"}, {"name": "transcription", "dtype": "string"}, {"name": "speaker_id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1726534428, "num_examples": 4211}, {"name": "validation", ... | 2023-06-19T09:39:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Experimental-Speech-Salt-Ateso-16k"
More Information needed | [
"# Dataset Card for \"Experimental-Speech-Salt-Ateso-16k\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Experimental-Speech-Salt-Ateso-16k\"\n\nMore Information needed"
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d963144a02b4cdd1c15b68972614e7eaa109ebd0 | # Dataset Card for "Hatefulmemes_test_google_flan_t5_xxl_mode_C_HM_A_T_OCR_rices_ns_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CVasNLPExperiments/Hatefulmemes_test_google_flan_t5_xxl_mode_C_HM_A_T_OCR_rices_ns_1000 | [
"region:us"
] | 2023-06-17T03:21:13+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "sequence": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0", "num_bytes": 1169038, "num_examples": 1000}], "download_size": 0, "dataset_size": 1169038}} | 2023-06-20T16:43:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Hatefulmemes_test_google_flan_t5_xxl_mode_C_HM_A_T_OCR_rices_ns_1000"
More Information needed | [
"# Dataset Card for \"Hatefulmemes_test_google_flan_t5_xxl_mode_C_HM_A_T_OCR_rices_ns_1000\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"Hatefulmemes_test_google_flan_t5_xxl_mode_C_HM_A_T_OCR_rices_ns_1000\"\n\nMore Information needed"
] |
0d873265a46151b976322e075f57a0c8d005dba9 |
Also recommended for inclusion with this training set is a cleaned up version of https://huggingface.co/datasets/laion/OIG/blob/main/unified_joke_explanations.jsonl
The ~10k jokes in the jokes file started out as as a file of jokes from reddit and I manually categorized a couple thousand of them.
The open question and... | Middletownbooks/joke_training | [
"license:mit",
"region:us"
] | 2023-06-17T03:36:43+00:00 | {"license": "mit"} | 2023-06-17T05:42:04+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Also recommended for inclusion with this training set is a cleaned up version of URL
The ~10k jokes in the jokes file started out as as a file of jokes from reddit and I manually categorized a couple thousand of them.
The open question and conversational instructions attempt to integrate jokes into databricks dolly 15... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
d53c69fd0fa37d65a232811cec0a990c1ec3ec8f | # MosaicML Instruct V3
This is an aggregate dataset, comprised of [Dolly HHRLHF](https://huggingface.co/datasets/mosaicml/dolly_hhrlhf) (derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/dat... | mosaicml/instruct-v3 | [
"language:en",
"region:us"
] | 2023-06-17T03:41:48+00:00 | {"language": "en", "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "source", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 18266901, "num_examples": 6807}, {"name": "train", "num_bytes": 220790357, "num_examples": 56167}], "download_... | 2023-10-02T14:46:55+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| MosaicML Instruct V3
====================
This is an aggregate dataset, comprised of Dolly HHRLHF (derived from the Databricks Dolly-15k and the Anthropic Helpful and Harmless (HH-RLHF) datasets), combined with Competition Math, Duorc, CoT GSM8k, Qasper, Quality, Summ Screen FD and Spider.
The intention was to create... | [] | [
"TAGS\n#language-English #region-us \n"
] | [
10
] | [
"passage: TAGS\n#language-English #region-us \n"
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449983ab8ceb5daa49ecedcdfec957698554c4c0 |
# MU-MIMO datasets
This is the official repository of MU-MIMO datasets used in "SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing" (ICDCS 2023).
`*-h_mat.npy` and `*-v_mat.npy` are input samples and targets, respectively.
If you have any questions about the datasets, please di... | yoshitomo-matsubara/mu-mimo | [
"size_categories:100K<n<1M",
"license:cdla-permissive-2.0",
"region:us"
] | 2023-06-17T03:55:24+00:00 | {"license": "cdla-permissive-2.0", "size_categories": ["100K<n<1M"], "pretty_name": "mu_mimo"} | 2023-07-19T01:22:04+00:00 | [] | [] | TAGS
#size_categories-100K<n<1M #license-cdla-permissive-2.0 #region-us
|
# MU-MIMO datasets
This is the official repository of MU-MIMO datasets used in "SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing" (ICDCS 2023).
'*-h_mat.npy' and '*-v_mat.npy' are input samples and targets, respectively.
If you have any questions about the datasets, please di... | [
"# MU-MIMO datasets\n\nThis is the official repository of MU-MIMO datasets used in \"SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing\" (ICDCS 2023).\n\n'*-h_mat.npy' and '*-v_mat.npy' are input samples and targets, respectively.\n\nIf you have any questions about the dataset... | [
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1e8fa1805395955b87c7ec80dab42497d5c2f711 | 
该数据集包含了《末日时在做什么？有没有空？可以来拯救吗？》大部分主要角色角色的图像数据,来源为动漫截图与同人二创。
为方便LoRA模型训练，所有图片尺寸均截为512x640尺寸，相应打标主要由Waifu Diffusion 1.4 Tagger V2自动完成，部分手工调整。
欢迎提交PR补充或修正本数据集！
> Alpha：8.21号之后的clone都是放大了两倍的图片，这是为了sdxl做准备，如果你还需要512*640尺寸的数据集，你可以在clone之后，执行下面的命令
> ```shell
> git checkout 183e253c4c304fc6c... | Carzit/SukaSuka-image-dataset | [
"license:mit",
"region:us"
] | 2023-06-17T05:55:38+00:00 | {"license": "mit"} | 2023-08-21T11:38:39+00:00 | [] | [] | TAGS
#license-mit #region-us
| !advertisement
该数据集包含了《末日时在做什么？有没有空？可以来拯救吗？》大部分主要角色角色的图像数据,来源为动漫截图与同人二创。
为方便LoRA模型训练，所有图片尺寸均截为512x640尺寸，相应打标主要由Waifu Diffusion 1.4 Tagger V2自动完成，部分手工调整。
欢迎提交PR补充或修正本数据集！
> Alpha：8.21号之后的clone都是放大了两倍的图片，这是为了sdxl做准备，如果你还需要512*640尺寸的数据集，你可以在clone之后，执行下面的命令
>
> 相关数据集的更正作业正在火热的进行中，请期待继续的更新吧~ | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
cb7941c5499067038cc525a87a60cd4cf76c8b23 | # Dataset Card for "vicuna-fair-eval_format-oa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reciprocate/vicuna-fair-eval_format-oa | [
"region:us"
] | 2023-06-17T08:54:55+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "selected", "dtype": "string"}, {"name": "rejected", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 181298, "num_examples": 66}], "download_size": 117099, "dataset_size": 181298}} | 2023-06-17T09:12:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vicuna-fair-eval_format-oa"
More Information needed | [
"# Dataset Card for \"vicuna-fair-eval_format-oa\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"vicuna-fair-eval_format-oa\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"vicuna-fair-eval_format-oa\"\n\nMore Information needed"
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12991718b6ba8f82d3eaf8ddfcdc8ab51ce97f2e | # 概述
AFQMC（Ant Financial Question Matching Corpus）蚂蚁金融语义相似度数据集，用于问题相似度计算。即：给定客服里用户描述的两句话，用算法来判断是否表示了相同的语义
# 数据集描述
本数据集仅包含AFQMC少量样本，供测试使用
### Clone with HTTP
* http://www.modelscope.cn/datasets/modelscope/afqmc_small.git | BerMaker/afqmc_small | [
"license:apache-2.0",
"region:us"
] | 2023-06-17T08:58:40+00:00 | {"license": "apache-2.0", "text": {"text-classification": {"language": ["zh"], "type": ["binary-class"]}}} | 2023-06-17T09:02:15+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # 概述
AFQMC（Ant Financial Question Matching Corpus）蚂蚁金融语义相似度数据集，用于问题相似度计算。即：给定客服里用户描述的两句话，用算法来判断是否表示了相同的语义
# 数据集描述
本数据集仅包含AFQMC少量样本，供测试使用
### Clone with HTTP
* URL | [
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] |
dc1424b249684d6f7faf3bdd93178b4d36be84ee |
This dataset was based on "kunishou/databricks-dolly-15k-ja".
This dataset is licensed under CC BY SA 3.0
Last Update : 2023-05-11
databricks-dolly-15k-ja
https://github.com/kunishou/databricks-dolly-15k-ja
databricks-dolly-15k
https://github.com/databrickslabs/dolly/tree/master/data
| takaaki-inada/databricks-dolly-15k-ja-zundamon | [
"license:cc-by-sa-3.0",
"region:us"
] | 2023-06-17T09:35:48+00:00 | {"license": "cc-by-sa-3.0"} | 2023-06-17T09:41:52+00:00 | [] | [] | TAGS
#license-cc-by-sa-3.0 #region-us
|
This dataset was based on "kunishou/databricks-dolly-15k-ja".
This dataset is licensed under CC BY SA 3.0
Last Update : 2023-05-11
databricks-dolly-15k-ja
URL
databricks-dolly-15k
URL
| [] | [
"TAGS\n#license-cc-by-sa-3.0 #region-us \n"
] | [
17
] | [
"passage: TAGS\n#license-cc-by-sa-3.0 #region-us \n"
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f03ab5c03c334347fabf4b024e55a14b03397f27 | # Dataset Card for "openllama_sft_17062023"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pvduy/openllama_sft_17062023 | [
"region:us"
] | 2023-06-17T09:41:55+00:00 | {"dataset_info": {"features": [{"name": "sample", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1007389140, "num_examples": 444110}], "download_size": 0, "dataset_size": 1007389140}} | 2023-06-17T09:44:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "openllama_sft_17062023"
More Information needed | [
"# Dataset Card for \"openllama_sft_17062023\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"openllama_sft_17062023\"\n\nMore Information needed"
] | [
6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"openllama_sft_17062023\"\n\nMore Information needed"
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01423ed46e69e32de1b6002b06eba4fcb4caab33 | # Dataset Card for "sum_classifier_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Dragonoverlord3000/sum_classifier_dataset | [
"region:us"
] | 2023-06-17T09:49:40+00:00 | {"dataset_info": {"features": [{"name": "sum", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "token_type_ids", "sequence": "int8"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train... | 2023-06-17T17:29:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sum_classifier_dataset"
More Information needed | [
"# Dataset Card for \"sum_classifier_dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sum_classifier_dataset\"\n\nMore Information needed"
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6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"sum_classifier_dataset\"\n\nMore Information needed"
] |
c609f7c637528cbb4f192e4888101441583cb90a | # Dataset Card for "batch_indexing_machine_230614_chromakey"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Circularmachines/batch_indexing_machine_230614_chromakey | [
"region:us"
] | 2023-06-17T09:53:31+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2767946368.32, "num_examples": 15120}], "download_size": 2726772586, "dataset_size": 2767946368.32}} | 2023-06-18T11:52:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "batch_indexing_machine_230614_chromakey"
More Information needed | [
"# Dataset Card for \"batch_indexing_machine_230614_chromakey\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"batch_indexing_machine_230614_chromakey\"\n\nMore Information needed"
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6,
25
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"passage: TAGS\n#region-us \n# Dataset Card for \"batch_indexing_machine_230614_chromakey\"\n\nMore Information needed"
] |
b99eb4a28da47b2c218be938458756c158cbaaec | # Dataset Card for "batch_indexing_machine_green_test_chroma"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Circularmachines/batch_indexing_machine_green_test_chroma | [
"region:us"
] | 2023-06-17T09:58:24+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "test", "num_bytes": 77300794.0, "num_examples": 420}], "download_size": 76248327, "dataset_size": 77300794.0}} | 2023-06-17T09:59:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "batch_indexing_machine_green_test_chroma"
More Information needed | [
"# Dataset Card for \"batch_indexing_machine_green_test_chroma\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"batch_indexing_machine_green_test_chroma\"\n\nMore Information needed"
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982671dc4cad1aabbe737487e532d14c457af077 | # Dataset Card for "dataset_easy_ocr_v0.3.0_all"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fimu-docproc-research/dataset_easy_ocr_v0.3.0_all | [
"region:us"
] | 2023-06-17T10:06:55+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "words", "sequence": "string"}, {"name": "bboxes", "sequence": {"sequence": "float32"}}, {"name": "image_path", "dtype": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "DIC", "1": "IBAN", "2": "ICO", "3": "O", "4": "... | 2023-06-17T10:07:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dataset_easy_ocr_v0.3.0_all"
More Information needed | [
"# Dataset Card for \"dataset_easy_ocr_v0.3.0_all\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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c452103a39b5daceb90051d4ca5f2afb4d838d2a | # Dataset Card for "sentiment-mt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | amitness/sentiment-mt | [
"language:mt",
"region:us"
] | 2023-06-17T10:15:06+00:00 | {"language": "mt", "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 83382, "num_examples": 595}, {"name": "validation", "num_bytes": 11602, "num_examples": 85}, {"name... | 2023-08-15T09:39:03+00:00 | [] | [
"mt"
] | TAGS
#language-Maltese #region-us
| # Dataset Card for "sentiment-mt"
More Information needed | [
"# Dataset Card for \"sentiment-mt\"\n\nMore Information needed"
] | [
"TAGS\n#language-Maltese #region-us \n",
"# Dataset Card for \"sentiment-mt\"\n\nMore Information needed"
] | [
11,
15
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"passage: TAGS\n#language-Maltese #region-us \n# Dataset Card for \"sentiment-mt\"\n\nMore Information needed"
] |
fe33e8423fdb7f4fccfcec584d56398f18b59617 |
# Dataset Card for openlegaldata.io bulk case data
## Dataset Description
This is a edit/cleanup of Bulk Data of [openlegaldata.io](https://de.openlegaldata.io/), which I also brought onto Huggingface [here](LennardZuendorf/openlegaldata-bulk-data).
#### The Entire Dataset Is In German
- **Github Repository:** [un... | LennardZuendorf/openlegaldata-processed | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:de",
"license:mit",
"legal",
"region:us"
] | 2023-06-17T11:43:20+00:00 | {"language": ["de"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "Edited German Court case decision", "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "court", "struct": [{"name": "id", "dtype": "int64"}, {"name": "jurisdiction", ... | 2023-10-07T19:13:13+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-German #license-mit #legal #region-us
| Dataset Card for URL bulk case data
===================================
Dataset Description
-------------------
This is a edit/cleanup of Bulk Data of URL, which I also brought onto Huggingface here.
#### The Entire Dataset Is In German
* Github Repository: [uniArchive-legalis]](URL
* Repository: Bulk Data
Ed... | [
"#### The Entire Dataset Is In German\n\n\n* Github Repository: [uniArchive-legalis]](URL\n* Repository: Bulk Data\n\n\nEdit Summary\n------------\n\n\nI have done some cleaning and splitting of the data and filtered out large parts that were not (easily) usable, cutting down the number of cases to at max 4000 - fr... | [
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3eda5853be6380e03137dc9e21587ef2675dc434 | # Dataset for LoRA
1. xunpu_v1.zip
the dataset for xunpu style. 20 samples with caption. version 1.
2. xunpu_v2.zip
| maze/SD | [
"region:us"
] | 2023-06-17T12:18:09+00:00 | {} | 2023-06-17T12:21:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset for LoRA
1. xunpu_v1.zip
the dataset for xunpu style. 20 samples with caption. version 1.
2. xunpu_v2.zip
| [
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] |
41fecd8849ad66fa478ed15c60a096817dfb36a2 | # Dataset Card for "SOFA_DOA_10_deg_meta_dirxyz"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FidelOdok/SOFA_DOA_10_deg_meta_dirxyz | [
"region:us"
] | 2023-06-17T12:24:31+00:00 | {"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "101", "2": "106", "3": "112", "4": "117", "5": "122", "6": "129", "7": "134", "8": "137", "9": "139", "10": "151", "11": "156", "12": "166", "13": "169", "14": "171", "15": "172", "1... | 2023-06-17T12:50:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SOFA_DOA_10_deg_meta_dirxyz"
More Information needed | [
"# Dataset Card for \"SOFA_DOA_10_deg_meta_dirxyz\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"SOFA_DOA_10_deg_meta_dirxyz\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"SOFA_DOA_10_deg_meta_dirxyz\"\n\nMore Information needed"
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61369b15e34e3f4459cbe513818f33fe223d1261 |
Uncensored version of [WizardLM_evol_instruct_V2_196k](https://huggingface.co/datasets/WizardLM/WizardLM_evol_instruct_V2_196k) (filtered the Wizard dataset and merged it with the (already uncensored) ShareGPT dataset that they link to.)
Uncensoring was done with [my rust rewrite](https://github.com/CoolOppo/wizard-c... | CoolOppo/WizardLM_evol_instruct_V2_196k_uncensored | [
"uncensored",
"wizard",
"region:us"
] | 2023-06-17T12:58:31+00:00 | {"tags": ["uncensored", "wizard"]} | 2023-06-17T13:06:09+00:00 | [] | [] | TAGS
#uncensored #wizard #region-us
|
Uncensored version of WizardLM_evol_instruct_V2_196k (filtered the Wizard dataset and merged it with the (already uncensored) ShareGPT dataset that they link to.)
Uncensoring was done with my rust rewrite of the cleaner script used by Eric Hartford et, al. It uses all the exact same words, just compiled into a big Re... | [] | [
"TAGS\n#uncensored #wizard #region-us \n"
] | [
13
] | [
"passage: TAGS\n#uncensored #wizard #region-us \n"
] |
6e880d0e8efc0c5d58c3a80506ab0f00af4d5c3f | Embeddings of AniDB's title database, intended to be used in conjunction with https://github.com/khell/anidb-semantic-search-api. | khellific/anidb-series-embeddings | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-06-17T13:55:01+00:00 | {"license": "cc-by-nc-sa-4.0"} | 2024-02-11T15:48:39+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
| Embeddings of AniDB's title database, intended to be used in conjunction with URL | [] | [
"TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n"
] |
212ce4fd214a8e99ad6f3955afbc6d3f70b8f2f3 | # Dataset Card for "pixel_glue_qnli_noisy_ocr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nadav/pixel_glue_qnli_noisy_ocr | [
"region:us"
] | 2023-06-17T14:16:23+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}], "splits": [{"name": "train", "num_bytes": 133417510, "num_examples": 523715}, {"name": "validation", "num_bytes": 1415362, "num_examples": 5463}], "download_size": 90048031,... | 2023-06-17T14:17:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pixel_glue_qnli_noisy_ocr"
More Information needed | [
"# Dataset Card for \"pixel_glue_qnli_noisy_ocr\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"pixel_glue_qnli_noisy_ocr\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"pixel_glue_qnli_noisy_ocr\"\n\nMore Information needed"
] |
551f7cdef5795ff985024157adf38f39138b0642 |
# RS5M
## File Explaination
### 1. pub11_NER_geolocation_info.csv
* This file provides extracted geolocation entities in caption. we discovered that the captions from the PUB11 dataset contain a significant amount of location information. As a result, we executed a NER (Named Entity Recognition) extraction on the P... | Zilun/RS5M | [
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-06-17T15:58:32+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["1M<n<10M"]} | 2023-10-16T17:40:19+00:00 | [] | [
"en"
] | TAGS
#size_categories-1M<n<10M #language-English #license-cc-by-nc-4.0 #region-us
| RS5M
====
File Explaination
-----------------
### 1. pub11\_NER\_geolocation\_info.csv
* This file provides extracted geolocation entities in caption. we discovered that the captions from the PUB11 dataset contain a significant amount of location information. As a result, we executed a NER (Named Entity Recogniti... | [
"### 1. pub11\\_NER\\_geolocation\\_info.csv\n\n\n* This file provides extracted geolocation entities in caption. we discovered that the captions from the PUB11 dataset contain a significant amount of location information. As a result, we executed a NER (Named Entity Recognition) extraction on the PUB11 subset.\n* ... | [
"TAGS\n#size_categories-1M<n<10M #language-English #license-cc-by-nc-4.0 #region-us \n",
"### 1. pub11\\_NER\\_geolocation\\_info.csv\n\n\n* This file provides extracted geolocation entities in caption. we discovered that the captions from the PUB11 dataset contain a significant amount of location information. As... | [
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"passage: TAGS\n#size_categories-1M<n<10M #language-English #license-cc-by-nc-4.0 #region-us \n### 1. pub11\\_NER\\_geolocation\\_info.csv\n\n\n* This file provides extracted geolocation entities in caption. we discovered that the captions from the PUB11 dataset contain a significant amount of location information.... |
c90325d70fb4a8892c00c7dc85444e9010d2a8e1 |
embeddings vector generated by `hkunlp/instructor-xl` | texonom/md-chroma-instructor-xl | [
"license:mit",
"region:us"
] | 2023-06-17T16:09:31+00:00 | {"license": "mit"} | 2023-08-11T17:09:35+00:00 | [] | [] | TAGS
#license-mit #region-us
|
embeddings vector generated by 'hkunlp/instructor-xl' | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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b12459cd1a42075db2cef9a7e7576b1de449f3ed | # Dataset Card for "image-classification-8class"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | climba/image-classification-8class | [
"region:us"
] | 2023-06-17T16:13:35+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7"}}}}], "splits": [{"name": "train", "num_bytes": 4917627.0, "num_examples": 3000}, {"name": "test", "num_bytes": 319199.... | 2023-06-17T16:23:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "image-classification-8class"
More Information needed | [
"# Dataset Card for \"image-classification-8class\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"image-classification-8class\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"image-classification-8class\"\n\nMore Information needed"
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337c53006bcac7358a43a882bde2dda3c9831abb | # Dataset Card for "avatar-the-last-airbender-season-2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lumenggan/avatar-the-last-airbender-season-2 | [
"region:us"
] | 2023-06-17T17:23:55+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 1517126314.176, "num_examples": 14256}], "download_size": 0, "dataset_size": 1517126314.176}} | 2023-06-17T17:28:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "avatar-the-last-airbender-season-2"
More Information needed | [
"# Dataset Card for \"avatar-the-last-airbender-season-2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"avatar-the-last-airbender-season-2\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"avatar-the-last-airbender-season-2\"\n\nMore Information needed"
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38dc7411b1009801242de9671f623aa6a2572f0a | # Dataset Card for "wikipedia-ptbr-20230601"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dominguesm/wikipedia-ptbr-20230601 | [
"language:pt",
"region:us"
] | 2023-06-17T17:45:12+00:00 | {"language": "pt", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2424207600, "num_examples": 993101}, {"name": "test", "num_bytes": 269529120, "num... | 2023-07-13T11:31:13+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #region-us
| # Dataset Card for "wikipedia-ptbr-20230601"
More Information needed | [
"# Dataset Card for \"wikipedia-ptbr-20230601\"\n\nMore Information needed"
] | [
"TAGS\n#language-Portuguese #region-us \n",
"# Dataset Card for \"wikipedia-ptbr-20230601\"\n\nMore Information needed"
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12,
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"passage: TAGS\n#language-Portuguese #region-us \n# Dataset Card for \"wikipedia-ptbr-20230601\"\n\nMore Information needed"
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e886c91c550450bbb97b222a933972cd8272699d | # AutoTrain Dataset for project: ncd-picking-test1
## Dataset Description
This dataset has been automatically processed by AutoTrain for project ncd-picking-test1.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:... | rhalim01/autotrain-data-ncd-picking-test1 | [
"region:us"
] | 2023-06-17T18:02:30+00:00 | {} | 2023-06-18T14:28:58+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: ncd-picking-test1
================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project ncd-picking-test1.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure... | [
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"### Data Instances\n\n\nA sample from this dataset looks as follows:",
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"### Dataset Splits\n\n\nThis d... | [
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c6f50dd9df81f8eae94ba65c0c0948ae9ad78dff | # Dataset Card for "beans-outlier"
📚 This dataset is an enhancved version of the [ibean project of the AIR lab](https://github.com/AI-Lab-Makerere/ibean/).
The workflow is described in the medium article: [Changes of Embeddings during Fine-Tuning of Transformers](https://medium.com/@markus.stoll/changes-of-embedding... | renumics/beans-outlier | [
"task_categories:image-classification",
"task_ids:multi-class-image-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended",
"language:en",
"license:mit",
"region:us"
] | 2023-06-17T18:58:02+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classificat... | 2023-06-30T19:09:45+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended #language-English #license-mit #region-us
| # Dataset Card for "beans-outlier"
This dataset is an enhancved version of the ibean project of the AIR lab.
The workflow is described in the medium article: Changes of Embeddings during Fine-Tuning of Transformers.
## Explore the Dataset
The open source data curation tool Renumics Spotlight allows you to explorer... | [
"# Dataset Card for \"beans-outlier\"\n\n This dataset is an enhancved version of the ibean project of the AIR lab.\n\nThe workflow is described in the medium article: Changes of Embeddings during Fine-Tuning of Transformers.",
"## Explore the Dataset\n\nThe open source data curation tool Renumics Spotlight allow... | [
"TAGS\n#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended #language-English #license-mit #region-us \n",
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f5db5c0fb7d0d820392466ab7bfd6931d59b3603 | # Dataset Card for "cvasnlp_sample_test_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Tristan/cvasnlp_sample_test_2 | [
"region:us"
] | 2023-06-17T19:45:11+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "abyssinian", "1": "american bulldog", "2": "american pit bull terrier", "3": "basset hound", "4": "beagle", "5": "bengal", "6": "birman", "7": "bombay", "8": "boxer", "9": "british shorthair",... | 2023-06-17T20:14:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cvasnlp_sample_test_2"
More Information needed | [
"# Dataset Card for \"cvasnlp_sample_test_2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cvasnlp_sample_test_2\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"cvasnlp_sample_test_2\"\n\nMore Information needed"
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c375f2704a5aac81e9a6c1cfb61a6657b173865c | # Dataset Card for "my-test-model"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ceciliawong15/my-test-model | [
"region:us"
] | 2023-06-17T20:01:15+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": 0, "dataset_size": 18719628.0}} | 2023-06-17T20:21:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "my-test-model"
More Information needed | [
"# Dataset Card for \"my-test-model\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"my-test-model\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"my-test-model\"\n\nMore Information needed"
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432fae078dc438ea8e2d258f39b5558d54a3801a |
## Data Origins
Original dataset: https://huggingface.co/datasets/jondurbin/rosettacode-raw/
Cleaner code: https://github.com/the-crypt-keeper/rosettacode-parser
## Data Fields
|Field|Type|Description|
|---|---|---|
|title|string|problem title|
|task|string|problem description|
|language|string|solution language/v... | mike-ravkine/rosettacode-parsed | [
"task_categories:text-generation",
"language:en",
"language:code",
"license:gfdl",
"region:us"
] | 2023-06-17T20:20:56+00:00 | {"language": ["en", "code"], "license": "gfdl", "task_categories": ["text-generation"]} | 2023-06-20T11:01:47+00:00 | [] | [
"en",
"code"
] | TAGS
#task_categories-text-generation #language-English #language-code #license-gfdl #region-us
| Data Origins
------------
Original dataset: URL
Cleaner code: URL
Data Fields
-----------
Field: title, Type: string, Description: problem title
Field: task, Type: string, Description: problem description
Field: language, Type: string, Description: solution language/variant
Field: soulution, Type: string, Descr... | [] | [
"TAGS\n#task_categories-text-generation #language-English #language-code #license-gfdl #region-us \n"
] | [
32
] | [
"passage: TAGS\n#task_categories-text-generation #language-English #language-code #license-gfdl #region-us \n"
] |
5e44705cee743264ae640696c79b8ccb20854043 | # Dataset Card for "dolly-ai-filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/dolly-ai-filtered | [
"region:us"
] | 2023-06-17T20:50:21+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "category", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2939273, "num_examples": 5444}], "download_size": 0, "dataset_size": 2939273}} | 2023-06-18T14:37:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "dolly-ai-filtered"
More Information needed | [
"# Dataset Card for \"dolly-ai-filtered\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"dolly-ai-filtered\"\n\nMore Information needed"
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6,
17
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"passage: TAGS\n#region-us \n# Dataset Card for \"dolly-ai-filtered\"\n\nMore Information needed"
] |
011fdc8a77b8ad208a89dde32bc0987c56a34278 | # Dataset Card for "lima-ai-filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/lima-ai-filtered | [
"region:us"
] | 2023-06-17T21:21:23+00:00 | {"dataset_info": {"features": [{"name": "conversations", "sequence": "string"}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1447954, "num_examples": 446}], "download_size": 833674, "dataset_size": 1447954}} | 2023-06-18T16:27:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lima-ai-filtered"
More Information needed | [
"# Dataset Card for \"lima-ai-filtered\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"lima-ai-filtered\"\n\nMore Information needed"
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544180341ad3badd3f80ac13c879a7ce066dbed4 | # Dataset Card for "chatbot-arena-elo-scores"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | openaccess-ai-collective/chatbot-arena-elo-scores | [
"region:us"
] | 2023-06-17T22:31:18+00:00 | {"dataset_info": {"features": [{"name": "elo_score", "dtype": "float64"}, {"name": "chatbot_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 359, "num_examples": 14}], "download_size": 1669, "dataset_size": 359}} | 2023-06-23T18:57:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chatbot-arena-elo-scores"
More Information needed | [
"# Dataset Card for \"chatbot-arena-elo-scores\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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5b24dcd2d8d2b10fadca89650ea285bc46e8634c | # Dataset Card for "spanish_attitude_conll2003"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jorgeortizfuentes/spanish_attitude_conll2003 | [
"region:us"
] | 2023-06-17T23:26:37+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "att_tags", "sequence": {"class_label": {"names": {"0": "B-propriety (J3)", "1": "I-Affect", "2": "B-tenacity (J3)", "3": "I-tenacity (J3)", "4": "B-capacity (J3)", "5": "I-Negative", "6": "I-Social Sanct... | 2023-06-18T17:44:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "spanish_attitude_conll2003"
More Information needed | [
"# Dataset Card for \"spanish_attitude_conll2003\"\n\nMore Information needed"
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9d3fff2105757be7f6f21e76925da804a66e3857 |
# Dataset Card for FinBench
## Dataset Description
- **Homepage: https://huggingface.co/datasets/yuweiyin/FinBench**
- **Repository: https://huggingface.co/datasets/yuweiyin/FinBench**
- **Paper: https://arxiv.org/abs/2308.00065**
- **Leaderboard:**
- **Point of Contact:**
## Dataset Statistics
We present **F... | yuweiyin/FinBench | [
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] | 2023-06-18T01:39:45+00:00 | {"license": "cc-by-nc-4.0", "size_categories": ["0.3M<n<1M"], "task_categories": ["tabular-classification", "text-classification"]} | 2023-08-02T00:02:19+00:00 | [
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#task_categories-tabular-classification #task_categories-text-classification #size_categories-0.3M<n<1M #license-cc-by-nc-4.0 #arxiv-2308.00065 #region-us
| Dataset Card for FinBench
=========================
Dataset Description
-------------------
* Homepage: URL
* Repository: URL
* Paper: URL
* Leaderboard:
* Point of Contact:
Dataset Statistics
------------------
We present FinBench, a benchmark for evaluating the performance of machine learning models with
both... | [
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78edf8e2ea1d794abc185a060a70f7ff46b8020f |
# VTuber Chats (Reprocessed)
A dataset of 2,235,416 chat messages collected from various Hololive and Nijisanji YouTube live streams.
This dataset is deduplicated and re-run with far more accurate language detection. For the original raw dataset, see [`pykeio/vtuber-chats-4.5m`](https://huggingface.co/datasets/pykei... | pykeio/vtuber-chats-reprocessed | [
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"livestream",
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"region:us"
] | 2023-06-18T02:20:42+00:00 | {"language": ["ja", "en", "ko", "zh", "id", "tl"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "pretty_name": "VTuber Chats 4.5M", "tags": ["livestream", "stream"]} | 2023-06-18T13:39:44+00:00 | [] | [
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|
# VTuber Chats (Reprocessed)
A dataset of 2,235,416 chat messages collected from various Hololive and Nijisanji YouTube live streams.
This dataset is deduplicated and re-run with far more accurate language detection. For the original raw dataset, see 'pykeio/vtuber-chats-4.5m'. | [
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faa16b0588e36306f0b5bfe2c725b05251c006a2 | # Dataset Card for "agieval-aqua-rat"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
Raw dataset: https://github.com/deepmind/AQuA
Copyright 2017 Google Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with th... | dmayhem93/agieval-aqua-rat | [
"license:apache-2.0",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T02:50:28+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 93696, "num_examples": 254}], "download_size": 0, "dataset_size": 93696}} | 2023-06-18T16:14:34+00:00 | [
"2304.06364"
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#license-apache-2.0 #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-aqua-rat"
Dataset taken from URL and processed as in that repo.
Raw dataset: URL
Copyright 2017 Google Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
URL
U... | [
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a5cd277ae6e73ce5eca9f0b8692ca01d9bc97bdc |
# Levin's Verb Classes
Levin's Verb Classes from [English Verb Classes And Alternations: A Preliminary Investigation](https://press.uchicago.edu/ucp/books/book/chicago/E/bo3684144.html), by [Beth Levin](https://web.stanford.edu/~bclevin/), published by [The University of Chicago Press](https://press.uchicago.edu/inde... | MichiganNLP/levin_verbs | [
"language:en",
"license:other",
"region:us"
] | 2023-06-18T03:46:13+00:00 | {"language": ["en"], "license": "other", "pretty_name": "Levin's Verb Classes"} | 2023-06-18T04:37:23+00:00 | [] | [
"en"
] | TAGS
#language-English #license-other #region-us
|
# Levin's Verb Classes
Levin's Verb Classes from English Verb Classes And Alternations: A Preliminary Investigation, by Beth Levin, published by The University of Chicago Press, © 1993 by The University of Chicago. All rights reserved.
The contents of this repository where generated from the reverse indexes 1 and 2,... | [
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b1f525b0d2b6f3490e432c3ab57f62911126fdf4 | OESD-GG-zh_cn-1是depression.icu小组的OESD（Open Emotional Support Database）计划的首个开放数据集，专门针对中文语言。
该数据集的目的是为了提供情绪支持和心理辅导的相关信息。数据集包含了大量真实烦恼，并将其归类为超过200个问题小类。
在创建数据集的过程中，我们使用了GPT-3.5-Turbo模型。首先，我们针对每个问题小类生成了20个具体问题。接着，针对每个具体问题，我们又生成了20个不同的回复。
总计，该数据集包含了89280条单轮对话，覆盖了各种各样的情绪和心理问题。
我们希望通过这个开放数据集，为研究人员、开发者和专业人士提供一个丰富的资源，以开发情绪支持... | depression-icu/OESD-GG-zh_cn-1 | [
"license:gpl-2.0",
"region:us"
] | 2023-06-18T04:27:04+00:00 | {"license": "gpl-2.0"} | 2023-06-18T04:46:36+00:00 | [] | [] | TAGS
#license-gpl-2.0 #region-us
| OESD-GG-zh_cn-1是depression.icu小组的OESD（Open Emotional Support Database）计划的首个开放数据集，专门针对中文语言。
该数据集的目的是为了提供情绪支持和心理辅导的相关信息。数据集包含了大量真实烦恼，并将其归类为超过200个问题小类。
在创建数据集的过程中，我们使用了GPT-3.5-Turbo模型。首先，我们针对每个问题小类生成了20个具体问题。接着，针对每个具体问题，我们又生成了20个不同的回复。
总计，该数据集包含了89280条单轮对话，覆盖了各种各样的情绪和心理问题。
我们希望通过这个开放数据集，为研究人员、开发者和专业人士提供一个丰富的资源，以开发情绪支持... | [] | [
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0acf9d93be4262b3cdd96e533ebc73074c97a74e | # Dataset Card for "taylor-dialogues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | andersonbcdefg/taylor-dialogues | [
"region:us"
] | 2023-06-18T04:35:02+00:00 | {"dataset_info": {"features": [{"name": "messages", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 27930, "num_examples": 22}], "download_size": 0, "dataset_size": 27930}} | 2023-06-18T04:49:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "taylor-dialogues"
More Information needed | [
"# Dataset Card for \"taylor-dialogues\"\n\nMore Information needed"
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1dac2dd00464698b7262bc85ddf9cc40eb3ae670 |
# Scalable VLM Probing
This repository contains data that supports the codebase of the [Scalable VLM Probing project](https://github.com/MichiganNLP/Scalable-VLM-Probing).
Note: the embeddings in this repository are currently unused and come from preliminary experiments.
| MichiganNLP/scalable_vlm_probing | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2023-06-18T04:36:22+00:00 | {"language": ["en"], "license": "cc-by-4.0", "pretty_name": "Scalable VLM Probing"} | 2023-06-18T04:54:45+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #region-us
|
# Scalable VLM Probing
This repository contains data that supports the codebase of the Scalable VLM Probing project.
Note: the embeddings in this repository are currently unused and come from preliminary experiments.
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] |
ef5d3e8ef57bec62a333f2429aa10e3af2cf5960 | # LAION COCO translated into 200 languages
This dataset contains the samples of the [LAION-COCO](https://huggingface.co/datasets/laion/laion-coco) dataset translated to 200 languages using
the largest [NLLB-200 model](https://huggingface.co/facebook/nllb-200-3.3B) (3.3B parameters).
## Fields description
1. `id` - ... | visheratin/laion-coco-nllb | [
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"cjk",
"ckb",... | TAGS
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This dataset contains the samples of the LAION-COCO dataset translated to 200 languages using
the largest NLLB-200 model (3.3B parameters).
## Fields description
1. 'id' - unique ID of the image.
2. 'url' - original URL of the image from the LAION-COCO dataset.
3. 'eng_cap... | [
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8f87cc09794c47b46c4425159b15cb9351ae6c18 | # Dataset Card for "pixel_glue_mnli_noisy_ocr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nadav/pixel_glue_mnli_noisy_ocr | [
"region:us"
] | 2023-06-18T06:42:28+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2"}}}}], "splits": [{"name": "train", "num_bytes": 400394884, "num_examples": 1963505}, {"name": "validation", "num_bytes": 4042514, "num_examples": 19647}], "download_size... | 2023-06-18T08:19:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pixel_glue_mnli_noisy_ocr"
More Information needed | [
"# Dataset Card for \"pixel_glue_mnli_noisy_ocr\"\n\nMore Information needed"
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626436a24bf7a4ad85ddf0d523910596dcc9b9f5 |
goat中文算术数据集
将goat数据集的Template，更换成中文的Template，数学表达式不变
| supinyu/goat-chinese | [
"task_categories:question-answering",
"size_categories:1M<n<10M",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2023-06-18T07:36:32+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["question-answering"]} | 2023-06-18T11:02:14+00:00 | [] | [
"zh"
] | TAGS
#task_categories-question-answering #size_categories-1M<n<10M #language-Chinese #license-apache-2.0 #region-us
|
goat中文算术数据集
将goat数据集的Template，更换成中文的Template，数学表达式不变
| [] | [
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9423f29b4db23c63d4f62c2c556492482e31ff95 | # Khajiit Translations
Extracted from the BA Khajiit Speak Redux mod including patches, and the original Khajiit Speak mod. BA_KSR is overriding the original mod for improved translations. | trawzified/khajiitspeak | [
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:gpl-3.0",
"region:us"
] | 2023-06-18T07:56:36+00:00 | {"language": ["en"], "license": "gpl-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["text2text-generation"], "pretty_name": "khajiit_translations"} | 2023-07-07T15:16:46+00:00 | [] | [
"en"
] | TAGS
#task_categories-text2text-generation #size_categories-10K<n<100K #language-English #license-gpl-3.0 #region-us
| # Khajiit Translations
Extracted from the BA Khajiit Speak Redux mod including patches, and the original Khajiit Speak mod. BA_KSR is overriding the original mod for improved translations. | [
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9f0b30fe08067f2c0504f0aa4c63cac48a9ccb2e | # Dataset Card for "fmd_materials"
class_label:
names:
'0': fabric
'1': foliage
'2': glass
'3': leather
'4': metal
'5': paper
'6': plastic
'7': stone
'8': water
'9': wood
Source: https://people.csail.mit.... | mcimpoi/fmd_materials | [
"task_categories:image-classification",
"size_categories:n<1K",
"license:cc-by-2.0",
"region:us"
] | 2023-06-18T08:08:49+00:00 | {"license": "cc-by-2.0", "size_categories": ["n<1K"], "task_categories": ["image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "fabric", "1": "foliage", "2": "glass", "3": "leather", "4": "metal", "5": "paper", "6": "plast... | 2023-06-18T08:49:30+00:00 | [] | [] | TAGS
#task_categories-image-classification #size_categories-n<1K #license-cc-by-2.0 #region-us
| # Dataset Card for "fmd_materials"
class_label:
names:
'0': fabric
'1': foliage
'2': glass
'3': leather
'4': metal
'5': paper
'6': plastic
'7': stone
'8': water
'9': wood
Source: URL | [
"# Dataset Card for \"fmd_materials\"\n\n class_label:\n names:\n '0': fabric\n '1': foliage\n '2': glass\n '3': leather\n '4': metal\n '5': paper\n '6': plastic\n '7': stone\n '8': water\n '9': wood\n\nSource: URL... | [
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c476eeb8acf6fbbe38f03334709b166fbaf522c3 | # Dataset Card for "areta_v5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gagan3012/areta_v5 | [
"region:us"
] | 2023-06-18T08:19:00+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "raw", "sequence": "string"}, {"name": "corrected", "sequence": "string"}, {"name": "tag", "sequence": "string"}, {"name": "raw_morph", "dtype": "string"}, {"name": "raw_d3tok", "sequence": "string"}], "splits": [{"name": "train", "num_by... | 2023-06-18T08:19:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "areta_v5"
More Information needed | [
"# Dataset Card for \"areta_v5\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"areta_v5\"\n\nMore Information needed"
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d00a44e2a695be45bf2fcc24af8286af404a8e1a | # GEMRec-18k -- Roster
This is the official model checkpoint metadata dataset for the paper [Towards Personalized Prompt-Model Retrieval for Generative Recommendation](https://github.com/MAPS-research/GEMRec).
## Dataset Intro
`GEMRec-18K` is a prompt-model interaction dataset with 18K images generated by 200 publicl... | MAPS-research/GEMRec-Roster | [
"task_categories:text-to-image",
"size_categories:n<1K",
"language:en",
"license:openrail",
"art",
"diffusers",
"region:us"
] | 2023-06-18T08:32:11+00:00 | {"language": ["en"], "license": "openrail", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "dataset_info": {"features": [{"name": "tag", "dtype": "string"}, {"name": "model_name", "dtype": "string"}, {"name": "model_id", "dtype": "int64"}, {"name": "modelVersion_name", "dtype": "string"}, {"name": "... | 2023-08-07T03:41:32+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #size_categories-n<1K #language-English #license-openrail #art #diffusers #region-us
| # GEMRec-18k -- Roster
This is the official model checkpoint metadata dataset for the paper Towards Personalized Prompt-Model Retrieval for Generative Recommendation.
## Dataset Intro
'GEMRec-18K' is a prompt-model interaction dataset with 18K images generated by 200 publicly-available generative models paired with a... | [
"# GEMRec-18k -- Roster\nThis is the official model checkpoint metadata dataset for the paper Towards Personalized Prompt-Model Retrieval for Generative Recommendation.",
"## Dataset Intro\n'GEMRec-18K' is a prompt-model interaction dataset with 18K images generated by 200 publicly-available generative models pai... | [
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dd06004e6f54d26615b42574863130f8945b2844 | This is an unofficial v3 prototype.
I made this for the purpose of sharing my knowledge with other developers, so I don't provide general support.
v3 provides pretrained weights. Please train with the following settings.
![image](https://datasets-server.huggingface.co/assets/nadare/rvc-v3j/--/nadare--rvc-v3j/train/0/i... | nadare/rvc-v3j | [
"license:mit",
"region:us"
] | 2023-06-18T08:33:32+00:00 | {"license": "mit"} | 2023-06-19T00:18:32+00:00 | [] | [] | TAGS
#license-mit #region-us
| This is an unofficial v3 prototype.
I made this for the purpose of sharing my knowledge with other developers, so I don't provide general support.
v3 provides pretrained weights. Please train with the following settings.
!image
vocos is still experimental and cannot provide pre-trained weights. | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
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a216632300dc6ed6bcbcbb68796dde457d9910dd | # Dataset Card for "pixel_glue_qqp_noisy_ocr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Nadav/pixel_glue_qqp_noisy_ocr | [
"region:us"
] | 2023-06-18T09:24:26+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2"}}}}], "splits": [{"name": "train", "num_bytes": 306170163, "num_examples": 1914975}, {"name": "validation", "num_bytes": 6477296, "num_examples": 40430}], "download_size... | 2023-06-18T09:25:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "pixel_glue_qqp_noisy_ocr"
More Information needed | [
"# Dataset Card for \"pixel_glue_qqp_noisy_ocr\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"pixel_glue_qqp_noisy_ocr\"\n\nMore Information needed"
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fb5deec3079d6a19bd155791e6168d7f7dffd1f1 |
# kubhist2
## Dataset Description
- **Homepage: https://changeiskey.org**
- **Repository: https://github.com/ChangeIsKey/kubhist2**
- **Point of Contact: Simon Hengchen / iguanodon.ai**
### Dataset Summary
This is a version of the Kubhist 2 dataset originally created, curated and made available by Språkbanken ... | ChangeIsKey/kubhist2 | [
"task_categories:text-generation",
"size_categories:1B<n<10B",
"language:sv",
"license:cc-by-sa-4.0",
"newspapers",
"historical",
"region:us"
] | 2023-06-18T10:02:22+00:00 | {"language": ["sv"], "license": "cc-by-sa-4.0", "size_categories": ["1B<n<10B"], "task_categories": ["text-generation"], "dataset_info": [{"config_name": "1640", "features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 254777, "num_examples": 3509}], "download_size": 114173, "dataset... | 2023-08-10T08:20:43+00:00 | [] | [
"sv"
] | TAGS
#task_categories-text-generation #size_categories-1B<n<10B #language-Swedish #license-cc-by-sa-4.0 #newspapers #historical #region-us
|
# kubhist2
## Dataset Description
- Homepage: URL
- Repository: URL
- Point of Contact: Simon Hengchen / URL
### Dataset Summary
This is a version of the Kubhist 2 dataset originally created, curated and made available by Språkbanken Text (SBX) at the University of Gothenburg (Sweden) under the CC BY 4.0 licen... | [
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321b925659f0e61f75507558bff61e0d25e38e60 | # Dataset Card for "imdb_after_522"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | spneshaei/imdb_after_522 | [
"region:us"
] | 2023-06-18T11:05:22+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 33732823, "num_examples": 25000}, {"name": "test", "num_bytes": 32258496, "num_examples": 24478}], "download_size": 41045666, "da... | 2023-06-18T11:05:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "imdb_after_522"
More Information needed | [
"# Dataset Card for \"imdb_after_522\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"imdb_after_522\"\n\nMore Information needed"
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91e58112d4022523e02d07cfbc96a950eac9219f | # Dataset Card for "agieval-gaokao-biology"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "S... | dmayhem93/agieval-gaokao-biology | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:47:19+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 159178, "num_examples": 210}], "download_size": 94276, "dataset_size": 159178}} | 2023-06-18T16:16:57+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-gaokao-biology"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softwar... | [
"# Dataset Card for \"agieval-gaokao-biology\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to d... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
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2fb33cf46ce4aeea9409ea3600a3b1d7e5216536 | # Dataset Card for "agieval-gaokao-chemistry"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the ... | dmayhem93/agieval-gaokao-chemistry | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:47:32+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 173207, "num_examples": 207}], "download_size": 78411, "dataset_size": 173207}} | 2023-06-18T16:17:33+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-gaokao-chemistry"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softw... | [
"# Dataset Card for \"agieval-gaokao-chemistry\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-gaokao-chemistry\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software a... | [
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d47e4d2c79b7280a7fb9990a11b036dfb8cdd89b | # Dataset Card for "agieval-gaokao-chinese"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "S... | dmayhem93/agieval-gaokao-chinese | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:47:45+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 833642, "num_examples": 246}], "download_size": 371866, "dataset_size": 833642}} | 2023-06-18T16:18:09+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-gaokao-chinese"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softwar... | [
"# Dataset Card for \"agieval-gaokao-chinese\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to d... | [
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691d13566972917f1cdc82f4fa1bad1a5b197cab | # Dataset Card for "agieval-gaokao-english"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "S... | dmayhem93/agieval-gaokao-english | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:47:58+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 688986, "num_examples": 306}], "download_size": 200843, "dataset_size": 688986}} | 2023-06-18T16:19:13+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-gaokao-english"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softwar... | [
"# Dataset Card for \"agieval-gaokao-english\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to d... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-gaokao-english\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and... | [
20,
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bea8c9da6c3ecf4c07a423b36914f1daa1ba6a1e | # Dataset Card for "agieval-gaokao-geography"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the ... | dmayhem93/agieval-gaokao-geography | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:48:09+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 116612, "num_examples": 199}], "download_size": 52868, "dataset_size": 116612}} | 2023-06-18T16:19:48+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-gaokao-geography"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softw... | [
"# Dataset Card for \"agieval-gaokao-geography\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to... | [
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20,
444
] | [
"passage: TAGS\n#license-mit #arxiv-2304.06364 #region-us \n# Dataset Card for \"agieval-gaokao-geography\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this softwar... |
41252f835bf3198590df5f4d488d64f78b6fd595 | # Dataset Card for "agieval-gaokao-history"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "S... | dmayhem93/agieval-gaokao-history | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:48:28+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 120008, "num_examples": 235}], "download_size": 78981, "dataset_size": 120008}} | 2023-06-18T16:20:33+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-gaokao-history"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softwar... | [
"# Dataset Card for \"agieval-gaokao-history\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to d... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-gaokao-history\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and... | [
20,
444
] | [
"passage: TAGS\n#license-mit #arxiv-2304.06364 #region-us \n# Dataset Card for \"agieval-gaokao-history\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software ... |
54ede00f50d90dab8295c0163e16912ee52f8068 | # Dataset Card for "agieval-gaokao-mathqa"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "So... | dmayhem93/agieval-gaokao-mathqa | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:48:39+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 140041, "num_examples": 351}], "download_size": 62472, "dataset_size": 140041}} | 2023-06-18T16:21:09+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-gaokao-mathqa"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software... | [
"# Dataset Card for \"agieval-gaokao-mathqa\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to de... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-gaokao-mathqa\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and ... | [
20,
444
] | [
"passage: TAGS\n#license-mit #arxiv-2304.06364 #region-us \n# Dataset Card for \"agieval-gaokao-mathqa\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software a... |
3f82847f19ead1a682f0b27cc5c829ac964586bb | # Dataset Card for "agieval-gaokao-physics"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "S... | dmayhem93/agieval-gaokao-physics | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:48:50+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 136757, "num_examples": 200}], "download_size": 70363, "dataset_size": 136757}} | 2023-06-18T16:22:01+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-gaokao-physics"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softwar... | [
"# Dataset Card for \"agieval-gaokao-physics\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to d... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-gaokao-physics\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and... | [
20,
445
] | [
"passage: TAGS\n#license-mit #arxiv-2304.06364 #region-us \n# Dataset Card for \"agieval-gaokao-physics\"\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software ... |
cf433ae10de7f2bc2c772166c37ef7a9b62ed3a1 | # Dataset Card for "agieval-logiqa-en"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
Raw datset: https://github.com/lgw863/LogiQA-dataset
[Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
@misc{zhon... | dmayhem93/agieval-logiqa-en | [
"license:cc-by-nc-sa-4.0",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:49:02+00:00 | {"license": "cc-by-nc-sa-4.0", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 852087, "num_examples": 651}], "download_size": 420337, "dataset_size": 852087}} | 2023-06-18T16:28:42+00:00 | [
"2304.06364"
] | [] | TAGS
#license-cc-by-nc-sa-4.0 #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-logiqa-en"
Dataset taken from URL and processed as in that repo.
Raw datset: URL
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
@misc{zhong2023agieval,
title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models},
author={Wanjun Zhong... | [
"# Dataset Card for \"agieval-logiqa-en\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)\n\n@misc{zhong2023agieval,\n title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models}, \n aut... | [
"TAGS\n#license-cc-by-nc-sa-4.0 #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-logiqa-en\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)\n\n@misc{zhong2023agieval,\n title={AGIEval: A Hu... | [
28,
260
] | [
"passage: TAGS\n#license-cc-by-nc-sa-4.0 #arxiv-2304.06364 #region-us \n# Dataset Card for \"agieval-logiqa-en\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)\n\n@misc{zhong2023agieval,\n title={AGIEval: A... |
caba79b07b989043d11f13dc54d0e130004ba771 | # Dataset Card for "agieval-logiqa-zh"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
Raw datset: https://github.com/lgw863/LogiQA-dataset
[Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
@misc{zhon... | dmayhem93/agieval-logiqa-zh | [
"license:cc-by-nc-sa-4.0",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:49:17+00:00 | {"license": "cc-by-nc-sa-4.0", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 694747, "num_examples": 651}], "download_size": 387024, "dataset_size": 694747}} | 2023-06-18T16:30:03+00:00 | [
"2304.06364"
] | [] | TAGS
#license-cc-by-nc-sa-4.0 #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-logiqa-zh"
Dataset taken from URL and processed as in that repo.
Raw datset: URL
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
@misc{zhong2023agieval,
title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models},
author={Wanjun Zhong... | [
"# Dataset Card for \"agieval-logiqa-zh\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)\n\n@misc{zhong2023agieval,\n title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models}, \n aut... | [
"TAGS\n#license-cc-by-nc-sa-4.0 #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-logiqa-zh\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)\n\n@misc{zhong2023agieval,\n title={AGIEval: A Hu... | [
28,
260
] | [
"passage: TAGS\n#license-cc-by-nc-sa-4.0 #arxiv-2304.06364 #region-us \n# Dataset Card for \"agieval-logiqa-zh\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)\n\n@misc{zhong2023agieval,\n title={AGIEval: A... |
946f344c593719b5bb24b5b6b7f33f8847d1b03a | # Dataset Card for "agieval-lsat-ar"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
Raw datset: https://github.com/zhongwanjun/AR-LSAT
MIT License
Copyright (c) 2022 Wanjun Zhong
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software an... | dmayhem93/agieval-lsat-ar | [
"arxiv:2304.06364",
"arxiv:2104.06598",
"region:us"
] | 2023-06-18T11:50:26+00:00 | {"dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 273902, "num_examples": 230}], "download_size": 66495, "dataset_size": 273902}} | 2023-06-18T16:25:42+00:00 | [
"2304.06364",
"2104.06598"
] | [] | TAGS
#arxiv-2304.06364 #arxiv-2104.06598 #region-us
| # Dataset Card for "agieval-lsat-ar"
Dataset taken from URL and processed as in that repo.
Raw datset: URL
MIT License
Copyright (c) 2022 Wanjun Zhong
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the So... | [
"# Dataset Card for \"agieval-lsat-ar\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nMIT License\n\nCopyright (c) 2022 Wanjun Zhong\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"... | [
"TAGS\n#arxiv-2304.06364 #arxiv-2104.06598 #region-us \n",
"# Dataset Card for \"agieval-lsat-ar\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nMIT License\n\nCopyright (c) 2022 Wanjun Zhong\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this ... | [
23,
668
] | [
"passage: TAGS\n#arxiv-2304.06364 #arxiv-2104.06598 #region-us \n"
] |
514c00bdd477ae77fbb3a239cf719a6f7c346edc | # Dataset Card for "agieval-lsat-lr"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
Raw datset: https://github.com/zhongwanjun/AR-LSAT
MIT License
Copyright (c) 2022 Wanjun Zhong
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software an... | dmayhem93/agieval-lsat-lr | [
"license:mit",
"arxiv:2304.06364",
"arxiv:2104.06598",
"region:us"
] | 2023-06-18T11:50:37+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 923886, "num_examples": 510}], "download_size": 469904, "dataset_size": 923886}} | 2023-06-18T16:26:20+00:00 | [
"2304.06364",
"2104.06598"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #arxiv-2104.06598 #region-us
| # Dataset Card for "agieval-lsat-lr"
Dataset taken from URL and processed as in that repo.
Raw datset: URL
MIT License
Copyright (c) 2022 Wanjun Zhong
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the So... | [
"# Dataset Card for \"agieval-lsat-lr\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nMIT License\n\nCopyright (c) 2022 Wanjun Zhong\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"... | [
"TAGS\n#license-mit #arxiv-2304.06364 #arxiv-2104.06598 #region-us \n",
"# Dataset Card for \"agieval-lsat-lr\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nMIT License\n\nCopyright (c) 2022 Wanjun Zhong\n\nPermission is hereby granted, free of charge, to any person obtaining a c... | [
28,
669
] | [
"passage: TAGS\n#license-mit #arxiv-2304.06364 #arxiv-2104.06598 #region-us \n"
] |
0d1065e10f4b3827781deb7d896460d604c5481b | # Dataset Card for "agieval-lsat-rc"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
Raw datset: https://github.com/zhongwanjun/AR-LSAT
MIT License
Copyright (c) 2022 Wanjun Zhong
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software an... | dmayhem93/agieval-lsat-rc | [
"license:mit",
"arxiv:2304.06364",
"arxiv:2104.06598",
"region:us"
] | 2023-06-18T11:50:49+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 1136305, "num_examples": 269}], "download_size": 322710, "dataset_size": 1136305}} | 2023-06-18T16:27:15+00:00 | [
"2304.06364",
"2104.06598"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #arxiv-2104.06598 #region-us
| # Dataset Card for "agieval-lsat-rc"
Dataset taken from URL and processed as in that repo.
Raw datset: URL
MIT License
Copyright (c) 2022 Wanjun Zhong
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the So... | [
"# Dataset Card for \"agieval-lsat-rc\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nMIT License\n\nCopyright (c) 2022 Wanjun Zhong\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"... | [
"TAGS\n#license-mit #arxiv-2304.06364 #arxiv-2104.06598 #region-us \n",
"# Dataset Card for \"agieval-lsat-rc\"\n\nDataset taken from URL and processed as in that repo.\n\nRaw datset: URL\n\nMIT License\n\nCopyright (c) 2022 Wanjun Zhong\n\nPermission is hereby granted, free of charge, to any person obtaining a c... | [
28,
668
] | [
"passage: TAGS\n#license-mit #arxiv-2304.06364 #arxiv-2104.06598 #region-us \n"
] |
641ed1116c5dce27141bc86f60ce2ff8bf115eca | # Dataset Card for "agieval-sat-en"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software... | dmayhem93/agieval-sat-en | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:50:59+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 1019350, "num_examples": 206}], "download_size": 265465, "dataset_size": 1019350}} | 2023-06-18T16:30:59+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-sat-en"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software witho... | [
"# Dataset Card for \"agieval-sat-en\"\n\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\ni... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-sat-en\"\n\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and assoc... | [
20,
441
] | [
"passage: TAGS\n#license-mit #arxiv-2304.06364 #region-us \n# Dataset Card for \"agieval-sat-en\"\n\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and as... |
318c4d5dc4c167ad650d674f896dd5c897d55e65 | # Dataset Card for "agieval-sat-en-without-passage"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation file... | dmayhem93/agieval-sat-en-without-passage | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:51:12+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 154762, "num_examples": 206}], "download_size": 85136, "dataset_size": 154762}} | 2023-06-18T16:31:43+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-sat-en-without-passage"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in th... | [
"# Dataset Card for \"agieval-sat-en-without-passage\"\n\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Softwar... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-sat-en-without-passage\"\n\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this so... | [
20,
447
] | [
"passage: TAGS\n#license-mit #arxiv-2304.06364 #region-us \n# Dataset Card for \"agieval-sat-en-without-passage\"\n\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this... |
385ef339b8285867cf276eee44cbbd785d467879 | # Dataset Card for "agieval-sat-math"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Softwa... | dmayhem93/agieval-sat-math | [
"license:mit",
"arxiv:2304.06364",
"region:us"
] | 2023-06-18T11:51:24+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold", "sequence": "int64"}], "splits": [{"name": "test", "num_bytes": 110388, "num_examples": 220}], "download_size": 57002, "dataset_size": 110388}} | 2023-06-18T16:32:05+00:00 | [
"2304.06364"
] | [] | TAGS
#license-mit #arxiv-2304.06364 #region-us
| # Dataset Card for "agieval-sat-math"
Dataset taken from URL and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software wit... | [
"# Dataset Card for \"agieval-sat-math\"\n\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\... | [
"TAGS\n#license-mit #arxiv-2304.06364 #region-us \n",
"# Dataset Card for \"agieval-sat-math\"\n\n\nDataset taken from URL and processed as in that repo.\n\nMIT License\n\nCopyright (c) Microsoft Corporation.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and ass... | [
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6c199b7dd873f0af663b965136c34637f0b3aefd | # Dataset Card for sts-sohu2021
## Dataset Description
- **Repository:** [Chinese NLI dataset](https://github.com/shibing624/text2vec)
- **Leaderboard:** [NLI_zh leaderboard](https://github.com/shibing624/text2vec) (located on the homepage)
- **Size of downloaded dataset files:** 218 MB
- **Total amount of disk used:*... | shibing624/sts-sohu2021 | [
"task_categories:text-classification",
"task_categories:sentence-similarity",
"task_ids:natural-language-inference",
"task_ids:semantic-similarity-scoring",
"task_ids:text-scoring",
"annotations_creators:shibing624",
"language_creators:shibing624",
"multilinguality:zh",
"size_categories:100K<n<20M",... | 2023-06-18T13:38:51+00:00 | {"annotations_creators": ["shibing624"], "language_creators": ["shibing624"], "language": ["zh"], "license": ["cc-by-4.0"], "multilinguality": ["zh"], "size_categories": ["100K<n<20M"], "source_datasets": ["https://www.biendata.xyz/competition/sohu_2021/data/"], "task_categories": ["text-classification", "sentence-simi... | 2023-06-19T08:02:29+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-classification #task_categories-sentence-similarity #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-text-scoring #annotations_creators-shibing624 #language_creators-shibing624 #multilinguality-zh #size_categories-100K<n<20M #source_datasets-https-//www.bie... | Dataset Card for sts-sohu2021
=============================
Dataset Description
-------------------
* Repository: Chinese NLI dataset
* Leaderboard: NLI\_zh leaderboard (located on the homepage)
* Size of downloaded dataset files: 218 MB
* Total amount of disk used: 218 MB
### Dataset Summary
2021搜狐校园文本匹配算法大赛数据... | [
"### Dataset Summary\n\n\n2021搜狐校园文本匹配算法大赛数据集\n\n\n* 数据源：URL\n\n\n分为 A 和 B 两个文件，A 和 B 文件匹配标准不一样。其中 A 和 B 文件又分为“短短文本匹配”、“短长文本匹配”和“长长文本匹配”。\nA 文件匹配标准较为宽泛，两段文字是同一个话题便视为匹配，B 文件匹配标准较为严格，两段文字须是同一个事件才视为匹配。\n\n\n数据类型：",
"### Supported Tasks and Leaderboards\n\n\nSupported Tasks: 支持中文文本匹配任务，文本相似度计算等相关任务。\n\n\n中文匹配任务的结果目前在... | [
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1ad9385174b74780347b471717e2c4ce85a23169 |
# Dataset Card for openlegaldata.io bulk case data
## Dataset Description
This is a labeled version of my already edited data from [openlegaldata.io](https://de.openlegaldata.io/).
#### The Entire Dataset Is In German
- **Github Repository:** [uniArchive-legalis]](https://github.com/LennardZuendorf/uniArchive-lega... | LennardZuendorf/legalis | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:de",
"license:mit",
"legal",
"region:us"
] | 2023-06-18T13:50:36+00:00 | {"language": ["de"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "labeled German Court case decisions", "dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "file_number", "dtype": "string"}, {"name": "date", "dtype": "timestamp[us]"}... | 2023-10-07T19:14:00+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-German #license-mit #legal #region-us
| Dataset Card for URL bulk case data
===================================
Dataset Description
-------------------
This is a labeled version of my already edited data from URL.
#### The Entire Dataset Is In German
* Github Repository: [uniArchive-legalis]](URL
* Processed Data: openlegaldata-processed
* Original B... | [
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33230f561f85df5fcc9c221b1b8abc35ceeb34fa | # Dataset Card for "marc-multilingual-encodings-v4"
# marc-code-mixed-small
These encodings are based on the review_tokens of [msislam/marc-code-mixed-small](https://huggingface.co/datasets/msislam/marc-code-mixed-small).
It contains German (DE), English (EN), Spanish (ES), and French (FR) languages.
The labels are... | msislam/marc-code-mixed-encodings | [
"region:us"
] | 2023-06-18T14:12:45+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int64"}, {"name": "attention_mask", "sequence": "int64"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 245408208, "num_examples": 60000}, {"name": "test", "num_bytes": 20286240, "num_examples": 5000}, {"name": "vali... | 2023-07-03T00:54:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "marc-multilingual-encodings-v4"
# marc-code-mixed-small
These encodings are based on the review_tokens of msislam/marc-code-mixed-small.
It contains German (DE), English (EN), Spanish (ES), and French (FR) languages.
The labels are 0 (DE), 1 (EN), 2 (ES), and 3 (FR).
Each review contains all f... | [
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"# marc-code-mixed-small\n\nThese encodings are based on the review_tokens of msislam/marc-code-mixed-small.\n\nIt contains German (DE), English (EN), Spanish (ES), and French (FR) languages. \n\nThe labels are 0 (DE), 1 (EN), 2 (ES... | [
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babc8bcf8348410e00a34e37f352d1e3e3dc7543 |
This dataset is a shuffled list of downloadable CC0 image titles and URLs from [Smithsonian Open Access](https://github.com/Smithsonian/OpenAccess).
Some images may be omitted due to limitations or oversights in the preprocessing pipeline, but there's no deliberate curation.
This dataset only contains metadata; a too... | madebyollin/soa-full | [
"license:cc0-1.0",
"region:us"
] | 2023-06-18T14:14:36+00:00 | {"license": "cc0-1.0"} | 2023-06-18T16:45:04+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
This dataset is a shuffled list of downloadable CC0 image titles and URLs from Smithsonian Open Access.
Some images may be omitted due to limitations or oversights in the preprocessing pipeline, but there's no deliberate curation.
This dataset only contains metadata; a tool like URL can be used to download the actual... | [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
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4066f07e499acedb0e2946fcd7279b620cb33448 | # marc-code-mixed-small
This dataset is based on [The Multilingual Amazon Reviews Corpus](https://huggingface.co/datasets/amazon_reviews_multi).
It contains German (DE), English (EN), Spanish (ES), and French (FR) languages.
The labels are 0 (DE), 1 (EN), 2 (ES), and 3 (FR).
Each review contains all four language... | msislam/marc-code-mixed-small | [
"language:de",
"language:en",
"language:es",
"language:fr",
"region:us"
] | 2023-06-18T14:40:25+00:00 | {"language": ["de", "en", "es", "fr"], "dataset_info": {"features": [{"name": "reviews", "sequence": "string"}, {"name": "labels", "sequence": "int64"}, {"name": "languages", "sequence": "string"}, {"name": "review_tokens", "sequence": "string"}, {"name": "token_labels", "sequence": "int64"}, {"name": "token_languages"... | 2023-07-03T00:46:18+00:00 | [] | [
"de",
"en",
"es",
"fr"
] | TAGS
#language-German #language-English #language-Spanish #language-French #region-us
| # marc-code-mixed-small
This dataset is based on The Multilingual Amazon Reviews Corpus.
It contains German (DE), English (EN), Spanish (ES), and French (FR) languages.
The labels are 0 (DE), 1 (EN), 2 (ES), and 3 (FR).
Each review contains all four languages.
Total number of tokens:
* In training set: 10195342
... | [
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2a4a9077dfa379bc2a2023d42dda3e2dfd33d283 | # Dataset Card for "prompts_eval"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Rami/prompts_eval | [
"region:us"
] | 2023-06-18T15:04:48+00:00 | {"dataset_info": {"features": [{"name": "prompt_generator", "dtype": "string"}, {"name": "chat_gpt_response", "dtype": "float64"}, {"name": "instructions", "dtype": "string"}, {"name": "temperature", "dtype": "float64"}, {"name": "repetition_penalty", "dtype": "float64"}, {"name": "top_p", "dtype": "float64"}, {"name":... | 2023-06-18T21:49:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "prompts_eval"
More Information needed | [
"# Dataset Card for \"prompts_eval\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"prompts_eval\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"prompts_eval\"\n\nMore Information needed"
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7dac65803668d2e006de8888e208fc6547b059f7 |
## Pre-trained vectors from GloVe: Global Vectors for Word Representation
The 50-dimensional embeddings from <https://nlp.stanford.edu/projects/glove/>.
| karmiq/glove | [
"language:en",
"license:pddl",
"region:us"
] | 2023-06-18T15:11:00+00:00 | {"language": ["en"], "license": "pddl", "dataset_info": {"description": "Pre-trained word vectors with 50 dimensions for GloVe: Global Vectors for Word Representation", "homepage": "https://nlp.stanford.edu/projects/glove/", "license": "pddl", "features": [{"name": "word", "dtype": "string"}, {"name": "embeddings", "se... | 2023-06-21T15:01:41+00:00 | [] | [
"en"
] | TAGS
#language-English #license-pddl #region-us
|
## Pre-trained vectors from GloVe: Global Vectors for Word Representation
The 50-dimensional embeddings from <URL
| [
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] |
893d41efc252b567b27b8d5fb22e36af3a248676 | # Dataset Card for "areta_v6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gagan3012/areta_v6 | [
"region:us"
] | 2023-06-18T15:22:59+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "raw", "sequence": "string"}, {"name": "corrected", "sequence": "string"}, {"name": "tag", "sequence": "string"}, {"name": "detect_tags", "sequence": "string"}, {"name": "correct_tags", "sequence": "string"}, {"name": "error_tags", "seque... | 2023-06-18T15:23:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "areta_v6"
More Information needed | [
"# Dataset Card for \"areta_v6\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"areta_v6\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"areta_v6\"\n\nMore Information needed"
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02feac1af29fee727d0010b4ab0c933426f87cee | # Dataset Card for "generadai-sample"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | drumwell/generadai-sample | [
"region:us"
] | 2023-06-18T15:57:32+00:00 | {"dataset_info": {"features": [{"name": "item", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "price", "dtype": "float64"}, {"name": "sizes", "sequence": "string"}, {"name": "colors", "sequence": "string"}, {"name": "ad", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3682, "n... | 2023-06-18T15:57:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "generadai-sample"
More Information needed | [
"# Dataset Card for \"generadai-sample\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"generadai-sample\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"generadai-sample\"\n\nMore Information needed"
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e1442e4f4693de653d10aa7c02e3051f11bbce2d | # Dataset Card for "redial_unicrs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | recwizard/redial_unicrs | [
"region:us"
] | 2023-06-18T16:11:32+00:00 | {"dataset_info": {"features": [{"name": "messages", "sequence": "string"}, {"name": "rec", "sequence": "int32"}, {"name": "recNames", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 68323855, "num_examples": 111458}, {"name": "validation", "num_bytes": 7454184, "num_examples": 12395}, {"name": "test",... | 2023-09-30T03:17:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "redial_unicrs"
More Information needed | [
"# Dataset Card for \"redial_unicrs\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"redial_unicrs\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"redial_unicrs\"\n\nMore Information needed"
] |
7d56298eb7d0a96eb9d1a2e244b6c9bd02dad85d | # Dataset Card for "PV03"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ggarcia209/PV03 | [
"region:us"
] | 2023-06-18T16:22:42+00:00 | {"dataset_info": {"features": [{"name": "image", "sequence": {"sequence": {"sequence": "uint8"}}}, {"name": "label", "sequence": {"sequence": "uint8"}}], "splits": [{"name": "train", "num_bytes": 971631024, "num_examples": 1846}, {"name": "validation", "num_bytes": 121059120, "num_examples": 230}], "download_size": 412... | 2023-06-21T01:01:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "PV03"
More Information needed | [
"# Dataset Card for \"PV03\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"PV03\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"PV03\"\n\nMore Information needed"
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3cbc5b12e91a038e927caef2d246f1d86a198816 |
Collection of wing images for conservation of honey bees (Apis mellifera) biodiversity in Europe
https://zenodo.org/record/7244070
| smaciu/bee-wings-large | [
"task_categories:feature-extraction",
"size_categories:10K<n<100K",
"region:us"
] | 2023-06-18T16:42:54+00:00 | {"size_categories": ["10K<n<100K"], "task_categories": ["feature-extraction"], "pretty_name": "Collection of wing images for conservation of honey bees (Apis mellifera) biodiversity in Europe"} | 2023-07-07T05:22:02+00:00 | [] | [] | TAGS
#task_categories-feature-extraction #size_categories-10K<n<100K #region-us
|
Collection of wing images for conservation of honey bees (Apis mellifera) biodiversity in Europe
URL
| [] | [
"TAGS\n#task_categories-feature-extraction #size_categories-10K<n<100K #region-us \n"
] | [
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fe54aba25b22b5f0bf431d1a99ca7c6a87bd5034 |
We claim no ownership of this repo. This dataset is derived from `togethercomputer/RedPajama-Data-1T`.
We removed CommonCrawl and C4 from the original RedPajama dataset
### Getting Started
The dataset consists of 2084 jsonl files.
You can download the dataset using HuggingFace:
```python
from datasets import load_d... | sippycoder/RedPajama-Data-1T-no-cc-c4 | [
"task_categories:text-generation",
"language:en",
"region:us"
] | 2023-06-18T16:58:21+00:00 | {"language": ["en"], "task_categories": ["text-generation"], "pretty_name": "Red Pajama 1T (no CC & C4)"} | 2023-06-18T17:13:39+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #region-us
| We claim no ownership of this repo. This dataset is derived from 'togethercomputer/RedPajama-Data-1T'.
We removed CommonCrawl and C4 from the original RedPajama dataset
### Getting Started
The dataset consists of 2084 jsonl files.
You can download the dataset using HuggingFace:
Or you can directly download the fi... | [
"### Getting Started\n\n\nThe dataset consists of 2084 jsonl files.\nYou can download the dataset using HuggingFace:\n\n\nOr you can directly download the files using the following command:\n\n\nA smaller 1B-token sample of the dataset can be found here.\n\n\nA full set of scripts to recreate the dataset from scrat... | [
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69f6ec45be4755844676bf447a6cc14f985284d7 |
## Overview
A continuation of [gpt4-1.2](https://huggingface.co/datasets/jondurbin/airoboros-gpt4-1.2), with:
* all coding instructions now have an equivalent "PLAINFORMAT" version
* several thousand new orca style prompts, this time with reasoning first, then response
* several examples of conversational/character i... | jondurbin/airoboros-gpt4-1.3 | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-06-18T17:36:15+00:00 | {"license": "cc-by-nc-4.0"} | 2023-06-22T14:01:10+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Overview
A continuation of gpt4-1.2, with:
* all coding instructions now have an equivalent "PLAINFORMAT" version
* several thousand new orca style prompts, this time with reasoning first, then response
* several examples of conversational/character interactions, with asterisk'd actions and quoted dialog
_*Note: ... | [
"## Overview\n\nA continuation of gpt4-1.2, with:\n* all coding instructions now have an equivalent \"PLAINFORMAT\" version\n* several thousand new orca style prompts, this time with reasoning first, then response\n* several examples of conversational/character interactions, with asterisk'd actions and quoted dialo... | [
"TAGS\n#license-cc-by-nc-4.0 #region-us \n",
"## Overview\n\nA continuation of gpt4-1.2, with:\n* all coding instructions now have an equivalent \"PLAINFORMAT\" version\n* several thousand new orca style prompts, this time with reasoning first, then response\n* several examples of conversational/character interac... | [
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] | [
"passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n## Overview\n\nA continuation of gpt4-1.2, with:\n* all coding instructions now have an equivalent \"PLAINFORMAT\" version\n* several thousand new orca style prompts, this time with reasoning first, then response\n* several examples of conversational/character inte... |
f728644a0c9a8f89b079ca8159a474dc60bae2ac |
This dataset is a shuffled list of downloadable CC0 image titles and URLs from [Smithsonian Open Access](https://github.com/Smithsonian/OpenAccess), filtered down to ~100k visually-interesting images.
This dataset only contains metadata; a tool like https://github.com/rom1504/img2dataset can be used to download the a... | madebyollin/soa-aesthetic | [
"license:cc0-1.0",
"region:us"
] | 2023-06-18T17:47:51+00:00 | {"license": "cc0-1.0"} | 2023-06-18T17:56:46+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
This dataset is a shuffled list of downloadable CC0 image titles and URLs from Smithsonian Open Access, filtered down to ~100k visually-interesting images.
This dataset only contains metadata; a tool like URL can be used to download the actual images:
Here's what a random selection looks like:
![](true_random.png... | [] | [
"TAGS\n#license-cc0-1.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-cc0-1.0 #region-us \n"
] |
dcdcd6f2ec6344196e73cd386d24c0b02a97857c | # Dataset Card for "nkiwi"
`train` : Original texts + Hard-negative texts(BM25) (3.95k)
`validation` : Original x2 (0.24k) | dnjdsxor21/nkiwi | [
"region:us"
] | 2023-06-18T17:49:51+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}, {"name": "docum... | 2023-06-20T05:46:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nkiwi"
'train' : Original texts + Hard-negative texts(BM25) (3.95k)
'validation' : Original x2 (0.24k) | [
"# Dataset Card for \"nkiwi\"\n\n'train' : Original texts + Hard-negative texts(BM25) (3.95k)\n\n'validation' : Original x2 (0.24k)"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"nkiwi\"\n\n'train' : Original texts + Hard-negative texts(BM25) (3.95k)\n\n'validation' : Original x2 (0.24k)"
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"passage: TAGS\n#region-us \n# Dataset Card for \"nkiwi\"\n\n'train' : Original texts + Hard-negative texts(BM25) (3.95k)\n\n'validation' : Original x2 (0.24k)"
] |
47977085c7aadb0def019c4ab15bcff153673a99 | # Dataset Card for "guanaco-ai-filtered"
This dataset is a subset of [TimDettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) useful for training generalist English-language chatbots. It has been filtered to a) remove conversations in languages other than English using a fa... | andersonbcdefg/guanaco-ai-filtered | [
"region:us"
] | 2023-06-18T19:40:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4111898, "num_examples": 2488}], "download_size": 2285274, "dataset_size": 4111898}} | 2023-06-22T19:11:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "guanaco-ai-filtered"
This dataset is a subset of TimDettmers/openassistant-guanaco useful for training generalist English-language chatbots. It has been filtered to a) remove conversations in languages other than English using a fasttext classifier, and b) remove conversations where Open Assistant i... | [
"# Dataset Card for \"guanaco-ai-filtered\"\nThis dataset is a subset of TimDettmers/openassistant-guanaco useful for training generalist English-language chatbots. It has been filtered to a) remove conversations in languages other than English using a fasttext classifier, and b) remove conversations where Open Ass... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"guanaco-ai-filtered\"\nThis dataset is a subset of TimDettmers/openassistant-guanaco useful for training generalist English-language chatbots. It has been filtered to a) remove conversations in languages other than English using a fasttext classifier, and b) remove con... | [
6,
109
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"guanaco-ai-filtered\"\nThis dataset is a subset of TimDettmers/openassistant-guanaco useful for training generalist English-language chatbots. It has been filtered to a) remove conversations in languages other than English using a fasttext classifier, and b) remove ... |
301f7337a988ed0d4a45815a3900d3a52b00e723 |
# Ahmet Kaya Vokal
## Dataset Açıklaması
Ahmet Kaya'nın şarkılarındaki vokaller UVR ile çıkarılmıştır. Toplam 103 adet veri vardır.
ahmetv3.zip içinde ise Ahmet Kayanın en popüler 3-4 röportajının kesilerek sadece onun konuştuğu kısımlar ayrıca UVR ile tekrar gözden geçirilerek oluşturulmuş hali vardır.
ak320kbps.zip... | turkmen/ahmetkayavocals | [
"language:tr",
"license:mit",
"ahmetkaya",
"ahmet kaya",
"ahmet kaya vokal",
"ahmet kaya vocal",
"ahmet kaya dataset",
"region:us"
] | 2023-06-18T19:57:34+00:00 | {"language": ["tr"], "license": "mit", "tags": ["ahmetkaya", "ahmet kaya", "ahmet kaya vokal", "ahmet kaya vocal", "ahmet kaya dataset"]} | 2023-07-27T10:12:29+00:00 | [] | [
"tr"
] | TAGS
#language-Turkish #license-mit #ahmetkaya #ahmet kaya #ahmet kaya vokal #ahmet kaya vocal #ahmet kaya dataset #region-us
|
# Ahmet Kaya Vokal
## Dataset Açıklaması
Ahmet Kaya'nın şarkılarındaki vokaller UVR ile çıkarılmıştır. Toplam 103 adet veri vardır.
URL içinde ise Ahmet Kayanın en popüler 3-4 röportajının kesilerek sadece onun konuştuğu kısımlar ayrıca UVR ile tekrar gözden geçirilerek oluşturulmuş hali vardır.
URL'in içinde ise Ahm... | [
"# Ahmet Kaya Vokal",
"## Dataset Açıklaması\nAhmet Kaya'nın şarkılarındaki vokaller UVR ile çıkarılmıştır. Toplam 103 adet veri vardır.\nURL içinde ise Ahmet Kayanın en popüler 3-4 röportajının kesilerek sadece onun konuştuğu kısımlar ayrıca UVR ile tekrar gözden geçirilerek oluşturulmuş hali vardır.\nURL'in içi... | [
"TAGS\n#language-Turkish #license-mit #ahmetkaya #ahmet kaya #ahmet kaya vokal #ahmet kaya vocal #ahmet kaya dataset #region-us \n",
"# Ahmet Kaya Vokal",
"## Dataset Açıklaması\nAhmet Kaya'nın şarkılarındaki vokaller UVR ile çıkarılmıştır. Toplam 103 adet veri vardır.\nURL içinde ise Ahmet Kayanın en popüler 3... | [
41,
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"passage: TAGS\n#language-Turkish #license-mit #ahmetkaya #ahmet kaya #ahmet kaya vokal #ahmet kaya vocal #ahmet kaya dataset #region-us \n# Ahmet Kaya Vokal## Dataset Açıklaması\nAhmet Kaya'nın şarkılarındaki vokaller UVR ile çıkarılmıştır. Toplam 103 adet veri vardır.\nURL içinde ise Ahmet Kayanın en popüler 3-4 ... |
08ea4d65a0ad853ab6915da40f88731905c6463c | # Dataset Card for "sec_AA"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ickma/sec_AA | [
"region:us"
] | 2023-06-18T20:51:44+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24962810, "num_examples": 17256}], "download_size": 7089666, "dataset_size": 24962810}} | 2023-06-18T22:28:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sec_AA"
More Information needed | [
"# Dataset Card for \"sec_AA\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sec_AA\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"sec_AA\"\n\nMore Information needed"
] |
92629983cd599f30e88808ea80e19f714e6b0e79 | # [Original Dataset by FredZhang7](https://huggingface.co/datasets/FredZhang7/stable-diffusion-prompts-2.47M)
- Deduped from 2,473,022 down to 2,007,998.
- Changed anything that had `[ prompt text ]`, `( prompt text )`, or `< prompt text >`, to `[prompt text]`, `(prompt text)`, and `<prompt text>`.
- 2 or more spaces c... | xzuyn/Stable-Diffusion-Prompts-Deduped-2.008M | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:en",
"region:us"
] | 2023-06-18T22:40:25+00:00 | {"language": ["en"], "size_categories": ["1M<n<10M"], "task_categories": ["text-generation"]} | 2023-12-11T04:14:29+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1M<n<10M #language-English #region-us
| # Original Dataset by FredZhang7
- Deduped from 2,473,022 down to 2,007,998.
- Changed anything that had '[ prompt text ]', '( prompt text )', or '< prompt text >', to '[prompt text]', '(prompt text)', and '<prompt text>'.
- 2 or more spaces converted to a single space.
- Removed all '"'
- Removed spaces at beginnings. | [
"# Original Dataset by FredZhang7\n- Deduped from 2,473,022 down to 2,007,998.\n- Changed anything that had '[ prompt text ]', '( prompt text )', or '< prompt text >', to '[prompt text]', '(prompt text)', and '<prompt text>'.\n- 2 or more spaces converted to a single space.\n- Removed all '\"'\n- Removed spaces at ... | [
"TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #language-English #region-us \n",
"# Original Dataset by FredZhang7\n- Deduped from 2,473,022 down to 2,007,998.\n- Changed anything that had '[ prompt text ]', '( prompt text )', or '< prompt text >', to '[prompt text]', '(prompt text)', and '<pro... | [
33,
112
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-1M<n<10M #language-English #region-us \n# Original Dataset by FredZhang7\n- Deduped from 2,473,022 down to 2,007,998.\n- Changed anything that had '[ prompt text ]', '( prompt text )', or '< prompt text >', to '[prompt text]', '(prompt text)', and '<... |
5d6aa87f45c60efe6081273139b44d2f87dae98f | # Dataset Card for "lima_vicuna_format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | pvduy/lima_vicuna_format | [
"region:us"
] | 2023-06-18T23:33:42+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2901795, "num_examples": 1029}, {"name": "test", "num_bytes": 43537, "num_examples": 300}], "download_size": 1738133, "dataset_size": 2945332}} | 2023-06-18T23:33:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lima_vicuna_format"
More Information needed | [
"# Dataset Card for \"lima_vicuna_format\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"lima_vicuna_format\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"lima_vicuna_format\"\n\nMore Information needed"
] |
fe97f237dc71a8aaa53f06f49d66387fe28be78c | # Dataset Card for "emphatical_daily_dialogues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hivaze/emphatical_daily_dialogues | [
"region:us"
] | 2023-06-18T23:43:15+00:00 | {"dataset_info": {"features": [{"name": "dialog", "sequence": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23701234, "num_examples": 19325}, {"name": "validation", "num_bytes": 2413614, "num_examples": 2049}], "download_size": 12219809, "dataset_size": 26114848}} | 2023-06-19T09:44:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "emphatical_daily_dialogues"
More Information needed | [
"# Dataset Card for \"emphatical_daily_dialogues\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"emphatical_daily_dialogues\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"emphatical_daily_dialogues\"\n\nMore Information needed"
] |
55fc3c4bcb8eccc6dec4a82363a34ebb832ca1ad | # Dataset Card for "sec_shots"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ickma/sec_shots | [
"region:us"
] | 2023-06-18T23:55:07+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 142, "num_examples": 3}], "download_size": 1090, "dataset_size": 142}} | 2023-06-18T23:55:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sec_shots"
More Information needed | [
"# Dataset Card for \"sec_shots\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sec_shots\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"sec_shots\"\n\nMore Information needed"
] |
8e907b8e6fdf1fca7f2a2a8bf7d7b733dbc7fe56 |
## Usage
```bash
pip install datasets
```
```python
from datasets import load_dataset
dataset = load_dataset("dev7halo/bluehouse-national-petition")
```
```
DatasetDict({
train: Dataset({
features: ['number', '제목', '답변상태', '참여인원', '카테고리', '청원시작', '청원마감', '청원내용', '답변원고'],
num_rows: 451513
})
... | dev7halo/bluehouse-national-petition | [
"language:ko",
"license:apache-2.0",
"region:us"
] | 2023-06-19T03:11:19+00:00 | {"language": ["ko"], "license": "apache-2.0"} | 2023-06-20T04:18:07+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #license-apache-2.0 #region-us
|
## Usage
# Github
Github | [
"## Usage",
"# Github\n\nGithub"
] | [
"TAGS\n#language-Korean #license-apache-2.0 #region-us \n",
"## Usage",
"# Github\n\nGithub"
] | [
19,
3,
7
] | [
"passage: TAGS\n#language-Korean #license-apache-2.0 #region-us \n## Usage# Github\n\nGithub"
] |
57e51083a0958e06e02ef51b65860d1593cb3117 |
## Usage
```bash
pip install datasets
```
```python
from datasets import load_dataset
dataset = load_dataset("dev7halo/korean-mcfaq")
```
```
DatasetDict({
train: Dataset({
features: ['Unnamed: 0', '제목', '등록일', '질문', '답변'],
num_rows: 2452
})
})
```
```
# dataset['train'][0]
{'Unnamed: 0': 0... | dev7halo/korean-mcfaq | [
"language:ko",
"license:apache-2.0",
"region:us"
] | 2023-06-19T03:16:31+00:00 | {"language": ["ko"], "license": "apache-2.0"} | 2023-06-20T04:17:49+00:00 | [] | [
"ko"
] | TAGS
#language-Korean #license-apache-2.0 #region-us
|
## Usage
# Github
Github | [
"## Usage",
"# Github\n\nGithub"
] | [
"TAGS\n#language-Korean #license-apache-2.0 #region-us \n",
"## Usage",
"# Github\n\nGithub"
] | [
19,
3,
7
] | [
"passage: TAGS\n#language-Korean #license-apache-2.0 #region-us \n## Usage# Github\n\nGithub"
] |
486ae0caece8bb2d2e3661c7f06e5bdbaf361759 | #include <iostream>
#include <fstream>
#include <string>
#include <vector>
#include <unistd.h>
using namespace std;
const string CHAT_HISTORY_FILE = "your-bot-model_chat_history.txt";
vector<string> load_chat_history() {
ifstream f(CHAT_HISTORY_FILE);
vector<string> chat_history;
string line;
while (getline(... | smalleyes/Bot-memory | [
"region:us"
] | 2023-06-19T03:43:04+00:00 | {} | 2023-06-19T03:46:37+00:00 | [] | [] | TAGS
#region-us
| #include <iostream>
#include <fstream>
#include <string>
#include <vector>
#include <unistd.h>
using namespace std;
const string CHAT_HISTORY_FILE = "your-bot-model_chat_history.txt";
vector<string> load_chat_history() {
ifstream f(CHAT_HISTORY_FILE);
vector<string> chat_history;
string line;
while (getline(... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
e1f85a3339848b9eb606ce543fcaaba3f4be1893 | # 1. About Dataset
**LaDe** is a publicly available last-mile delivery dataset with millions of packages from industry.
It has three unique characteristics: (1) Large-scale. It involves 10,677k packages of 21k couriers over 6 months of real-world operation.
(2) Comprehensive information, it offers original package... | Cainiao-AI/LaDe-D | [
"size_categories:10M<n<100M",
"license:apache-2.0",
"Spatial-Temporal",
"Graph",
"Logistic",
"Last-mile Delivery",
"region:us"
] | 2023-06-19T04:44:27+00:00 | {"license": "apache-2.0", "size_categories": ["10M<n<100M"], "tags": ["Spatial-Temporal", "Graph", "Logistic", "Last-mile Delivery"], "dataset_info": {"features": [{"name": "order_id", "dtype": "int64"}, {"name": "region_id", "dtype": "int64"}, {"name": "city", "dtype": "string"}, {"name": "courier_id", "dtype": "int64... | 2023-06-22T14:00:16+00:00 | [] | [] | TAGS
#size_categories-10M<n<100M #license-apache-2.0 #Spatial-Temporal #Graph #Logistic #Last-mile Delivery #region-us
| 1. About Dataset
================
LaDe is a publicly available last-mile delivery dataset with millions of packages from industry.
It has three unique characteristics: (1) Large-scale. It involves 10,677k packages of 21k couriers over 6 months of real-world operation.
(2) Comprehensive information, it offers original... | [] | [
"TAGS\n#size_categories-10M<n<100M #license-apache-2.0 #Spatial-Temporal #Graph #Logistic #Last-mile Delivery #region-us \n"
] | [
45
] | [
"passage: TAGS\n#size_categories-10M<n<100M #license-apache-2.0 #Spatial-Temporal #Graph #Logistic #Last-mile Delivery #region-us \n"
] |
f1ddd8dd163028dd5a8ab7d7c83b198ebd2f2167 | # 1. About Dataset
**LaDe** is a publicly available last-mile delivery dataset with millions of packages from industry.
It has three unique characteristics: (1) Large-scale. It involves 10,677k packages of 21k couriers over 6 months of real-world operation.
(2) Comprehensive information, it offers original package... | Cainiao-AI/LaDe-P | [
"size_categories:10M<n<100M",
"license:apache-2.0",
"Spatial-Temporal",
"Graph",
"Logistic",
"region:us"
] | 2023-06-19T04:47:50+00:00 | {"license": "apache-2.0", "size_categories": ["10M<n<100M"], "tags": ["Spatial-Temporal", "Graph", "Logistic"], "dataset_info": {"features": [{"name": "order_id", "dtype": "int64"}, {"name": "region_id", "dtype": "int64"}, {"name": "city", "dtype": "string"}, {"name": "courier_id", "dtype": "int64"}, {"name": "accept_t... | 2023-06-22T14:00:50+00:00 | [] | [] | TAGS
#size_categories-10M<n<100M #license-apache-2.0 #Spatial-Temporal #Graph #Logistic #region-us
| 1. About Dataset
================
LaDe is a publicly available last-mile delivery dataset with millions of packages from industry.
It has three unique characteristics: (1) Large-scale. It involves 10,677k packages of 21k couriers over 6 months of real-world operation.
(2) Comprehensive information, it offers original... | [] | [
"TAGS\n#size_categories-10M<n<100M #license-apache-2.0 #Spatial-Temporal #Graph #Logistic #region-us \n"
] | [
39
] | [
"passage: TAGS\n#size_categories-10M<n<100M #license-apache-2.0 #Spatial-Temporal #Graph #Logistic #region-us \n"
] |
54ffd1df0e73888567eafa04778210eed7a4f160 |
# Dataset Card for Dolly 15k Dutch
## Dataset Description
- **Homepage:** N/A
- **Repository:** N/A
- **Paper:** N/A
- **Leaderboard:** N/A
- **Point of Contact:** Bram Vanroy
### Dataset Summary
This dataset contains 14,934 instructions, contexts and responses, in several natural language categories such as class... | BramVanroy/dolly-15k-dutch | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:nl",
"license:cc-by-nc-sa-3.0",
"dolly",
"instruct",
"instruction",
"arxiv:2312.12852",
"doi:10.57967/hf/0785",
"region:us"
] | 2023-06-19T05:51:47+00:00 | {"language": ["nl"], "license": "cc-by-nc-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "text-generation"], "pretty_name": "Dolly 15k Dutch", "tags": ["dolly", "instruct", "instruction"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "... | 2024-01-22T10:46:03+00:00 | [
"2312.12852"
] | [
"nl"
] | TAGS
#task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-Dutch #license-cc-by-nc-sa-3.0 #dolly #instruct #instruction #arxiv-2312.12852 #doi-10.57967/hf/0785 #region-us
|
# Dataset Card for Dolly 15k Dutch
## Dataset Description
- Homepage: N/A
- Repository: N/A
- Paper: N/A
- Leaderboard: N/A
- Point of Contact: Bram Vanroy
### Dataset Summary
This dataset contains 14,934 instructions, contexts and responses, in several natural language categories such as classification, closed QA... | [
"# Dataset Card for Dolly 15k Dutch",
"## Dataset Description\n\n- Homepage: N/A\n- Repository: N/A\n- Paper: N/A\n- Leaderboard: N/A\n- Point of Contact: Bram Vanroy",
"### Dataset Summary\n\nThis dataset contains 14,934 instructions, contexts and responses, in several natural language categories such as class... | [
"TAGS\n#task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-Dutch #license-cc-by-nc-sa-3.0 #dolly #instruct #instruction #arxiv-2312.12852 #doi-10.57967/hf/0785 #region-us \n",
"# Dataset Card for Dolly 15k Dutch",
"## Dataset Description\n\n- Homepage: N/A\... | [
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"passage: TAGS\n#task_categories-question-answering #task_categories-text-generation #size_categories-10K<n<100K #language-Dutch #license-cc-by-nc-sa-3.0 #dolly #instruct #instruction #arxiv-2312.12852 #doi-10.57967/hf/0785 #region-us \n# Dataset Card for Dolly 15k Dutch## Dataset Description\n\n- Homepage: N/A\n- ... |
49c6bfcdbd9bff142ca7e452de31986534a5613d | # Dataset Card for "ColaPerturbed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | DaniFrame/COLAPerturbed | [
"region:us"
] | 2023-06-19T06:53:56+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "unacceptable", "1": "acceptable"}}}}, {"name": "idx", "dtype": "int32"}], "splits": [{"name": "cola_perturbed_keyboard_0.01", "num_bytes": 60525, "num_examples": 1063}, {"name": "cola_pert... | 2023-06-21T08:26:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ColaPerturbed"
More Information needed | [
"# Dataset Card for \"ColaPerturbed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ColaPerturbed\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ColaPerturbed\"\n\nMore Information needed"
] |
3375dca65e5fed3ae3ce491fe4fa947369c3416b |
- describe
process FreedomIntelligence/HuatuoGPT-sft-data-v1 to multiturn format
```json
{
"instruction": "听起来很不错。人工智能可能在哪些方面面临挑战呢？",
"input": "",
"output": "人工智能面临的挑战包括数据隐私、安全和道德方面的问题，以及影响就业机会的自动化等问题。",
"history": [
["你好，你能帮我解答一个问题吗？", "当然，请问有什么问题？"],
["我想了解人工智能的未来发展方向，你有什么想法吗？", "人工智能在未来的... | ticoAg/HuatuoGPT_sft_data_v1_multiturn | [
"task_categories:question-answering",
"size_categories:100M<n<1B",
"language:zh",
"license:apache-2.0",
"medical",
"region:us"
] | 2023-06-19T06:55:12+00:00 | {"language": ["zh"], "license": "apache-2.0", "size_categories": ["100M<n<1B"], "task_categories": ["question-answering"], "tags": ["medical"]} | 2023-09-01T05:40:37+00:00 | [] | [
"zh"
] | TAGS
#task_categories-question-answering #size_categories-100M<n<1B #language-Chinese #license-apache-2.0 #medical #region-us
|
- describe
process FreedomIntelligence/HuatuoGPT-sft-data-v1 to multiturn format
which can be used at LLaMA-Efficient-Tuning
- example | [] | [
"TAGS\n#task_categories-question-answering #size_categories-100M<n<1B #language-Chinese #license-apache-2.0 #medical #region-us \n"
] | [
46
] | [
"passage: TAGS\n#task_categories-question-answering #size_categories-100M<n<1B #language-Chinese #license-apache-2.0 #medical #region-us \n"
] |
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