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d376fe4792eef47fd9f0d4219e7640562471d1d5 |
## Description
A channel generating relaxing scenes from around the world.
## Model
SVD
## Voice
Muted
# Tags
- Chill
- Relaxation
# Style
cosy and warm, relaxing, beautiful
# Music
sweet ambient music
## Prompt
A channel generating relaxing scenes from around the world.
Examples includes, but are not li... | jbilcke-hf/ai-tube-latent-chill | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-20T15:05:59+00:00 | {"license": "cc-by-nc-4.0", "pretty_name": "Latent Chill"} | 2023-12-24T19:05:15+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Description
A channel generating relaxing scenes from around the world.
## Model
SVD
## Voice
Muted
# Tags
- Chill
- Relaxation
# Style
cosy and warm, relaxing, beautiful
# Music
sweet ambient music
## Prompt
A channel generating relaxing scenes from around the world.
Examples includes, but are not li... | [
"## Description\n\nA channel generating relaxing scenes from around the world.",
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"# Style\n\ncosy and warm, relaxing, beautiful",
"# Music\n\nsweet ambient music",
"## Prompt\n\nA channel generating relaxing scenes from around th... | [
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"## Description\n\nA channel generating relaxing scenes from around the world.",
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"## Voice\n\nMuted",
"# Tags\n\n- Chill\n- Relaxation",
"# Style\n\ncosy and warm, relaxing, beautiful",
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76be11867a30f170aa9e78e11134af7612187a71 |
# Dataset Card for NTX v1 in the Aya format - German subset
This dataset is a format conversion for the German data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions for... | tellarin-ai/ntx_llm_inst_german | [
"task_categories:token-classification",
"language:de",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:07:20+00:00 | {"language": ["de"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:08:04+00:00 | [
"2303.18103"
] | [
"de"
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#task_categories-token-classification #language-German #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - German subset
This dataset is a format conversion for the German data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions for... | [
"# Dataset Card for NTX v1 in the Aya format - German subset\n\nThis dataset is a format conversion for the German data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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6414f52d7d4769bc29e73a16a86ced55d14153f1 |
# Dataset Card for NTX v1 in the Aya format - English subset
This dataset is a format conversion for the English data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | tellarin-ai/ntx_llm_inst_english | [
"task_categories:token-classification",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:09:43+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T16:25:24+00:00 | [
"2303.18103"
] | [
"en"
] | TAGS
#task_categories-token-classification #language-English #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - English subset
This dataset is a format conversion for the English data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | [
"# Dataset Card for NTX v1 in the Aya format - English subset\n\nThis dataset is a format conversion for the English data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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8ff88376d2650635d5a1bcaf4978f4d2f03f496b |
# Dataset Card for NTX v1 in the Aya format - Spanish subset
This dataset is a format conversion for the Spanish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | tellarin-ai/ntx_llm_inst_spanish | [
"task_categories:token-classification",
"language:es",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:11:39+00:00 | {"language": ["es"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:12:19+00:00 | [
"2303.18103"
] | [
"es"
] | TAGS
#task_categories-token-classification #language-Spanish #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Spanish subset
This dataset is a format conversion for the Spanish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | [
"# Dataset Card for NTX v1 in the Aya format - Spanish subset\n\nThis dataset is a format conversion for the Spanish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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6846ca3c33926b0827e52e00ade1c460267982e6 |
# Dataset Card for NTX v1 in the Aya format - French subset
This dataset is a format conversion for the French data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions for... | tellarin-ai/ntx_llm_inst_french | [
"task_categories:token-classification",
"language:fr",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:13:06+00:00 | {"language": ["fr"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:13:44+00:00 | [
"2303.18103"
] | [
"fr"
] | TAGS
#task_categories-token-classification #language-French #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - French subset
This dataset is a format conversion for the French data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions for... | [
"# Dataset Card for NTX v1 in the Aya format - French subset\n\nThis dataset is a format conversion for the French data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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acd686a507d4978daf3f797790e337b62a3dfa46 |
# Dataset Card for NTX v1 in the Aya format - Hindi subset
This dataset is a format conversion for the Hindi data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions forma... | tellarin-ai/ntx_llm_inst_hindi | [
"task_categories:token-classification",
"language:hi",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:14:19+00:00 | {"language": ["hi"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:15:06+00:00 | [
"2303.18103"
] | [
"hi"
] | TAGS
#task_categories-token-classification #language-Hindi #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Hindi subset
This dataset is a format conversion for the Hindi data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions forma... | [
"# Dataset Card for NTX v1 in the Aya format - Hindi subset\n\nThis dataset is a format conversion for the Hindi data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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58820e7608ca2662b1a5b54f92b6ba662df4fd86 |
# Dataset Card for NTX v1 in the Aya format - Italian subset
This dataset is a format conversion for the Italian data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | tellarin-ai/ntx_llm_inst_italian | [
"task_categories:token-classification",
"language:it",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:15:36+00:00 | {"language": ["it"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:16:31+00:00 | [
"2303.18103"
] | [
"it"
] | TAGS
#task_categories-token-classification #language-Italian #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Italian subset
This dataset is a format conversion for the Italian data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | [
"# Dataset Card for NTX v1 in the Aya format - Italian subset\n\nThis dataset is a format conversion for the Italian data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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a3aab7f1951295f1202ddfca44ac01bb422063ec |
## Description
A channel generating 360° panoramas from around the world.
## Model
SVD
## LoRA
artificialguybr/360Redmond
## Voice
Muted
# Tags
- Travel
- 360°
# Style
360 view, hdri, photo, ultra detailed footage
# Music
nature sounds, wind, birds
## Prompt
A channel generating panoramas from around th... | jbilcke-hf/ai-tube-panoramatic | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-20T15:16:11+00:00 | {"license": "cc-by-nc-4.0", "pretty_name": "Panoramatic"} | 2024-02-09T17:24:09+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Description
A channel generating 360° panoramas from around the world.
## Model
SVD
## LoRA
artificialguybr/360Redmond
## Voice
Muted
# Tags
- Travel
- 360°
# Style
360 view, hdri, photo, ultra detailed footage
# Music
nature sounds, wind, birds
## Prompt
A channel generating panoramas from around th... | [
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4e71d1e02ee1af617b336e5faf54b7bc44f7cc30 |
# Dataset Card for NTX v1 in the Aya format - Japanese subset
This dataset is a format conversion for the Japanese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions... | tellarin-ai/ntx_llm_inst_japanese | [
"task_categories:token-classification",
"language:ja",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:16:59+00:00 | {"language": ["ja"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:17:41+00:00 | [
"2303.18103"
] | [
"ja"
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#task_categories-token-classification #language-Japanese #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Japanese subset
This dataset is a format conversion for the Japanese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions... | [
"# Dataset Card for NTX v1 in the Aya format - Japanese subset\n\nThis dataset is a format conversion for the Japanese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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654696ea66602ec379d31f54e794e13de7883540 |
# Dataset Card for NTX v1 in the Aya format - Korean subset
This dataset is a format conversion for the Korean data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions for... | tellarin-ai/ntx_llm_inst_korean | [
"task_categories:token-classification",
"language:ko",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:18:10+00:00 | {"language": ["ko"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:18:50+00:00 | [
"2303.18103"
] | [
"ko"
] | TAGS
#task_categories-token-classification #language-Korean #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Korean subset
This dataset is a format conversion for the Korean data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions for... | [
"# Dataset Card for NTX v1 in the Aya format - Korean subset\n\nThis dataset is a format conversion for the Korean data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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b97c5a50be2e41c21360c8e0d7e172af96315c5f |
# Dataset Card for NTX v1 in the Aya format - Dutch subset
This dataset is a format conversion for the Dutch data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions forma... | tellarin-ai/ntx_llm_inst_dutch | [
"task_categories:token-classification",
"language:nl",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:19:14+00:00 | {"language": ["nl"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:19:51+00:00 | [
"2303.18103"
] | [
"nl"
] | TAGS
#task_categories-token-classification #language-Dutch #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Dutch subset
This dataset is a format conversion for the Dutch data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions forma... | [
"# Dataset Card for NTX v1 in the Aya format - Dutch subset\n\nThis dataset is a format conversion for the Dutch data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
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d59349c72788c2d83372733224a53deeaace87b4 |
# Dataset Card for NTX v1 in the Aya format - Portuguese subset
This dataset is a format conversion for the Portuguese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instruct... | tellarin-ai/ntx_llm_inst_portuguese | [
"task_categories:token-classification",
"language:pt",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:20:21+00:00 | {"language": ["pt"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:21:00+00:00 | [
"2303.18103"
] | [
"pt"
] | TAGS
#task_categories-token-classification #language-Portuguese #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Portuguese subset
This dataset is a format conversion for the Portuguese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instruct... | [
"# Dataset Card for NTX v1 in the Aya format - Portuguese subset\n\nThis dataset is a format conversion for the Portuguese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
"## Dataset Details\n\nFor the original NTX dataset, the conversion to the ... | [
"TAGS\n#task_categories-token-classification #language-Portuguese #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us \n",
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1fa5ad2270724a99df73f57473b9cae433798082 |
# Dataset Card for NTX v1 in the Aya format - Turkish subset
This dataset is a format conversion for the Turkish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | tellarin-ai/ntx_llm_inst_turkish | [
"task_categories:token-classification",
"language:tr",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:21:30+00:00 | {"language": ["tr"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:22:04+00:00 | [
"2303.18103"
] | [
"tr"
] | TAGS
#task_categories-token-classification #language-Turkish #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Turkish subset
This dataset is a format conversion for the Turkish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | [
"# Dataset Card for NTX v1 in the Aya format - Turkish subset\n\nThis dataset is a format conversion for the Turkish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
"## Dataset Details\n\nFor the original NTX dataset, the conversion to the Aya in... | [
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9898ed5e23e3d009c7202fda504378ec412472d2 |
# Dataset Card for NTX v1 in the Aya format - Chinese subset
This dataset is a format conversion for the Chinese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | tellarin-ai/ntx_llm_inst_chinese | [
"task_categories:token-classification",
"language:zh",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:22:31+00:00 | {"language": ["zh"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:23:07+00:00 | [
"2303.18103"
] | [
"zh"
] | TAGS
#task_categories-token-classification #language-Chinese #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Chinese subset
This dataset is a format conversion for the Chinese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | [
"# Dataset Card for NTX v1 in the Aya format - Chinese subset\n\nThis dataset is a format conversion for the Chinese data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
"## Dataset Details\n\nFor the original NTX dataset, the conversion to the Aya in... | [
"TAGS\n#task_categories-token-classification #language-Chinese #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us \n",
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86029ade0cb29a07bad16ca6b0e60c91364173a1 |
# Dataset Card for NTX v1 in the Aya format - Swedish subset
This dataset is a format conversion for the Swedish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | tellarin-ai/ntx_llm_inst_swedish | [
"task_categories:token-classification",
"language:sv",
"license:cc-by-sa-4.0",
"arxiv:2303.18103",
"region:us"
] | 2023-12-20T15:23:37+00:00 | {"language": ["sv"], "license": "cc-by-sa-4.0", "task_categories": ["token-classification"]} | 2023-12-20T15:24:00+00:00 | [
"2303.18103"
] | [
"sv"
] | TAGS
#task_categories-token-classification #language-Swedish #license-cc-by-sa-4.0 #arxiv-2303.18103 #region-us
|
# Dataset Card for NTX v1 in the Aya format - Swedish subset
This dataset is a format conversion for the Swedish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.
## Dataset Details
For the original NTX dataset, the conversion to the Aya instructions f... | [
"# Dataset Card for NTX v1 in the Aya format - Swedish subset\n\nThis dataset is a format conversion for the Swedish data from the original NTX into the Aya instruction format and it's released here under the CC-BY-SA 4.0 license.",
"## Dataset Details\n\nFor the original NTX dataset, the conversion to the Aya in... | [
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af068f45178b96d4a0fef48dabc56f3d0ae1cbdd |
# Dataset Card for Evaluation run of MisterRid/saulgoodman-7b-alpha1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MisterRid/saulgoodman-7b-alpha1](https://huggingface.co/MisterRid/saulgoodman-7b-alpha1) on the [Open LLM Leaderboard](https://huggin... | open-llm-leaderboard/details_MisterRid__saulgoodman-7b-alpha1 | [
"region:us"
] | 2023-12-20T15:27:43+00:00 | {"pretty_name": "Evaluation run of MisterRid/saulgoodman-7b-alpha1", "dataset_summary": "Dataset automatically created during the evaluation run of model [MisterRid/saulgoodman-7b-alpha1](https://huggingface.co/MisterRid/saulgoodman-7b-alpha1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2023-12-20T15:28:08+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of MisterRid/saulgoodman-7b-alpha1
Dataset automatically created during the evaluation run of model MisterRid/saulgoodman-7b-alpha1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been c... | [
"# Dataset Card for Evaluation run of MisterRid/saulgoodman-7b-alpha1\n\n\n\nDataset automatically created during the evaluation run of model MisterRid/saulgoodman-7b-alpha1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe datase... | [
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"# Dataset Card for Evaluation run of MisterRid/saulgoodman-7b-alpha1\n\n\n\nDataset automatically created during the evaluation run of model MisterRid/saulgoodman-7b-alpha1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the eval... | [
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5dd14219c7ab6cacf34efbdcbbe2877abe3ef63c |
# 東方トカマクラブ データセット
## 概要
このデータセットは、東方Projectのトカマクラブに関する情報を収集したものです。主にキャラクターに関する質問と回答を含んでいます。
## データセットの構造
データはCSVファイルに格納されており、以下のカラムで構成されています:
- `Q`: 質問のテキスト
- `A`: 回答のテキスト
## 使用例
このデータセットは、チャットボットや質問応答システム、機械学習モデルのトレーニングに使用することができます。
| MakiAi/Tokama_Club_QA | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:ja",
"license:mit",
"music",
"region:us"
] | 2023-12-20T15:37:51+00:00 | {"language": ["ja"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "tags": ["music"]} | 2023-12-20T15:46:02+00:00 | [] | [
"ja"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-Japanese #license-mit #music #region-us
|
# 東方トカマクラブ データセット
## 概要
このデータセットは、東方Projectのトカマクラブに関する情報を収集したものです。主にキャラクターに関する質問と回答を含んでいます。
## データセットの構造
データはCSVファイルに格納されており、以下のカラムで構成されています:
- 'Q': 質問のテキスト
- 'A': 回答のテキスト
## 使用例
このデータセットは、チャットボットや質問応答システム、機械学習モデルのトレーニングに使用することができます。
| [
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"## データセットの構造\nデータはCSVファイルに格納されており、以下のカラムで構成されています:\n- 'Q': 質問のテキスト\n- 'A': 回答のテキスト",
"## 使用例\nこのデータセットは、チャットボットや質問応答システム、機械学習モデルのトレーニングに使用することができます。"
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"# 東方トカマクラブ データセット",
"## 概要\nこのデータセットは、東方Projectのトカマクラブに関する情報を収集したものです。主にキャラクターに関する質問と回答を含んでいます。",
"## データセットの構造\nデータはCSVファイルに格納されており、以下のカラムで構成されています:\n- 'Q': 質問のテキスト\n- 'A': 回答のテキスト",
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1755a90c68615215b03f29fd0ca477fa52928fa6 | # BLOSSOM ORCA V2
### 介绍
Blossom Orca V2是一个基于OpenOrca衍生而来的中英双语指令数据集,适用于指令微调。
相比于blossom-wizard-v1,指令不变,进一步优化了输出效果,此外,将system消息并入user消息中。
本数据集从OpenOrca中抽取了系统提示和指令,首先将其翻译为中文并校验翻译结果,再使用指令调用gpt-3.5-turbo-0613模型生成响应,并过滤掉包含自我认知以及拒绝回答的响应,以便后续对齐。此外,为了确保响应风格的一致性以及中英数据配比,本数据集还对未翻译的原始指令也进行了相同的调用,最终得到了1:1的中英双语指令数据。
相比直接对原始Ope... | Azure99/blossom-orca-v2 | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"language:zh",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-20T15:45:55+00:00 | {"language": ["zh", "en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "text2text-generation"]} | 2023-12-21T15:46:25+00:00 | [] | [
"zh",
"en"
] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #size_categories-100K<n<1M #language-Chinese #language-English #license-apache-2.0 #region-us
| # BLOSSOM ORCA V2
### 介绍
Blossom Orca V2是一个基于OpenOrca衍生而来的中英双语指令数据集,适用于指令微调。
相比于blossom-wizard-v1,指令不变,进一步优化了输出效果,此外,将system消息并入user消息中。
本数据集从OpenOrca中抽取了系统提示和指令,首先将其翻译为中文并校验翻译结果,再使用指令调用gpt-3.5-turbo-0613模型生成响应,并过滤掉包含自我认知以及拒绝回答的响应,以便后续对齐。此外,为了确保响应风格的一致性以及中英数据配比,本数据集还对未翻译的原始指令也进行了相同的调用,最终得到了1:1的中英双语指令数据。
相比直接对原始Ope... | [
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"### 介绍\n\nBlossom Orca V2是一个基于OpenOrca衍生而来的中英双语指令数据集,适用于指令微调。\n\n相比于blossom-wizard-v1,指令不变,进一步优化了输出效果,此外,将system消息并入user消息中。\n\n本数据集从OpenOrca中抽取了系统提示和指令,首先将其翻译为中文并校验翻译结果,再使用指令调用gpt-3.5-turbo-0613模型生成响应,并过滤掉包含自我认知以及拒绝回答的响应,以便后续对齐。此外,为了确保响应风格的一致性以及中英数据配比,本数据集还对未翻译的原始指令也进行了相同的调用,最终得到了1:1的中英双语指令... | [
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"# BLOSSOM ORCA V2",
"### 介绍\n\nBlossom Orca V2是一个基于OpenOrca衍生而来的中英双语指令数据集,适用于指令微调。\n\n相比于blossom-wizard-v1,指令不变,进一步优化了输出效果,此外,将system消... | [
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0af4b860b73d4b2b121c7b2b5203c0267f71e6d4 | # BLOSSOM WIZARD V2
### 介绍
Blossom Wizard V2是一个基于WizardLM_evol_instruct_V2衍生而来的中英双语指令数据集,适用于指令微调。
相比于blossom-wizard-v1,指令不变,进一步优化了输出效果。
本数据集从WizardLM_evol_instruct_V2中抽取了指令,首先将其翻译为中文并校验翻译结果,再使用指令调用gpt-3.5-turbo-0613模型生成响应,并过滤掉包含自我认知以及拒绝回答的响应,以便后续对齐。此外,为了确保响应风格的一致性以及中英数据配比,本数据集还对未翻译的原始指令也进行了相同的调用,最终得到了1:1的中英双语指令数据。
... | Azure99/blossom-wizard-v2 | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"language:zh",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-20T15:45:57+00:00 | {"language": ["zh", "en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation", "text2text-generation"]} | 2023-12-21T15:44:55+00:00 | [] | [
"zh",
"en"
] | TAGS
#task_categories-text-generation #task_categories-text2text-generation #size_categories-100K<n<1M #language-Chinese #language-English #license-apache-2.0 #region-us
| # BLOSSOM WIZARD V2
### 介绍
Blossom Wizard V2是一个基于WizardLM_evol_instruct_V2衍生而来的中英双语指令数据集,适用于指令微调。
相比于blossom-wizard-v1,指令不变,进一步优化了输出效果。
本数据集从WizardLM_evol_instruct_V2中抽取了指令,首先将其翻译为中文并校验翻译结果,再使用指令调用gpt-3.5-turbo-0613模型生成响应,并过滤掉包含自我认知以及拒绝回答的响应,以便后续对齐。此外,为了确保响应风格的一致性以及中英数据配比,本数据集还对未翻译的原始指令也进行了相同的调用,最终得到了1:1的中英双语指令数据。
... | [
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"### 介绍\n\nBlossom Wizard V2是一个基于WizardLM_evol_instruct_V2衍生而来的中英双语指令数据集,适用于指令微调。\n\n相比于blossom-wizard-v1,指令不变,进... | [
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] | [
"passage: TAGS\n#task_categories-text-generation #task_categories-text2text-generation #size_categories-100K<n<1M #language-Chinese #language-English #license-apache-2.0 #region-us \n# BLOSSOM WIZARD V2### 介绍\n\nBlossom Wizard V2是一个基于WizardLM_evol_instruct_V2衍生而来的中英双语指令数据集,适用于指令微调。\n\n相比于blossom-wizard-v1,指令不变,进一步优... |
0ac8a58c37f06c68e7ff4cebd2404f67e5ef5d91 | This dataset is converted from [khaimaitien/qa-expert-multi-hop-qa-V1.0](https://huggingface.co/datasets/khaimaitien/qa-expert-multi-hop-qa-V1.0) to OpenAI function calling format.
Each data point is a list of messages with role=user, assistant or function:
+ message that role=user, content is the question
+ message th... | khaimaitien/multi-hop-qa-function-calling-format-V1.0 | [
"region:us"
] | 2023-12-20T15:51:43+00:00 | {} | 2023-12-20T16:28:11+00:00 | [] | [] | TAGS
#region-us
| This dataset is converted from khaimaitien/qa-expert-multi-hop-qa-V1.0 to OpenAI function calling format.
Each data point is a list of messages with role=user, assistant or function:
+ message that role=user, content is the question
+ message that role=assistant, content is not None, function_call is None: --> assistan... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f9c0ecda4228d7272a7216edf28541491f9036dd | RVC(v2) model contributions provided for the Pony Preservation Project<br>*Assume trained for speaking unless otherwise specified — Most are still fully capable of singing*
**This dataset consists of dominantly mares:** <br> \>MLP:FiM canon characters<br> \>MLP fandom characters
<br>**And adjacent:** <br>\>Them's Figh... | HazySkies/RVC2-M | [
"language:en",
"region:us"
] | 2023-12-20T15:51:51+00:00 | {"language": ["en"]} | 2023-12-22T18:31:01+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| RVC(v2) model contributions provided for the Pony Preservation Project<br>*Assume trained for speaking unless otherwise specified — Most are still fully capable of singing*
This dataset consists of dominantly mares: <br> \>MLP:FiM canon characters<br> \>MLP fandom characters
<br>And adjacent: <br>\>Them's Fightin' Her... | [] | [
"TAGS\n#language-English #region-us \n"
] | [
10
] | [
"passage: TAGS\n#language-English #region-us \n"
] |
46dedfc5413cea82f19fd1bc09ed41c2dff506bf |
# mosscap_prompt_injection
<img src="https://grt.lakera.ai/robots/level7.jpg" width="500px" />
This is a dataset of prompt injections submitted to the game [Mosscap](https://grt.lakera.ai) by [Lakera](https://www.lakera.ai/).
This variant of the game [Gandalf](https://gandalf.lakera.ai) was created for DEF CON 31.
N... | Lakera/mosscap_prompt_injection | [
"license:mit",
"region:us"
] | 2023-12-20T15:54:01+00:00 | {"license": "mit", "dataset_info": {"features": [{"name": "level", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "raw_answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 136521220, "num_examples": 223533}, {"name": "validation", "num_bytes... | 2023-12-20T16:55:37+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# mosscap_prompt_injection
<img src="URL width="500px" />
This is a dataset of prompt injections submitted to the game Mosscap by Lakera.
This variant of the game Gandalf was created for DEF CON 31.
Note that the Mosscap levels may no longer be available in the future.
Note that we release every prompt that we rece... | [
"# mosscap_prompt_injection\n\n<img src=\"URL width=\"500px\" />\n\nThis is a dataset of prompt injections submitted to the game Mosscap by Lakera.\nThis variant of the game Gandalf was created for DEF CON 31.\nNote that the Mosscap levels may no longer be available in the future.\n\nNote that we release every prom... | [
"TAGS\n#license-mit #region-us \n",
"# mosscap_prompt_injection\n\n<img src=\"URL width=\"500px\" />\n\nThis is a dataset of prompt injections submitted to the game Mosscap by Lakera.\nThis variant of the game Gandalf was created for DEF CON 31.\nNote that the Mosscap levels may no longer be available in the futu... | [
11,
132,
264,
165,
24
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"passage: TAGS\n#license-mit #region-us \n# mosscap_prompt_injection\n\n<img src=\"URL width=\"500px\" />\n\nThis is a dataset of prompt injections submitted to the game Mosscap by Lakera.\nThis variant of the game Gandalf was created for DEF CON 31.\nNote that the Mosscap levels may no longer be available in the f... |
864c0324407af3202d776454f7739859354626f5 |
# Dataset of paprika (Arknights)
This is the dataset of paprika (Arknights), containing 13 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.c... | AppleHarem/paprika_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-20T16:02:29+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-20T16:02:34+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of paprika (Arknights)
==============================
This is the dataset of paprika (Arknights), containing 13 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a WebUI conta... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
a0b2b9299ed7a82c1e49fd9b00a824d891b9c680 | # Dataset Card for "nllb_en_sw_20K"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ArmelRandy/nllb_en_sw_20K | [
"region:us"
] | 2023-12-20T16:18:04+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "en", "dtype": "string"}, {"name": "sw", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2748522, "num_examples": 20000}], "download_size": 1856731, "dataset_size":... | 2023-12-20T16:18:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nllb_en_sw_20K"
More Information needed | [
"# Dataset Card for \"nllb_en_sw_20K\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"nllb_en_sw_20K\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"nllb_en_sw_20K\"\n\nMore Information needed"
] |
65c0c6891b4a72da58062efddef4807fcd1b48d3 |
# Dataset of stainless (Arknights)
This is the dataset of stainless (Arknights), containing 17 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingfa... | AppleHarem/stainless_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-20T16:22:45+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-20T16:22:48+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of stainless (Arknights)
================================
This is the dataset of stainless (Arknights), containing 17 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a WebUI... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
be233ef1a658e5e5702ac744347a3a3049194ef5 |
# Dataset of qanipalaat (Arknights)
This is the dataset of qanipalaat (Arknights), containing 15 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://hugging... | AppleHarem/qanipalaat_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-20T16:43:26+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-20T16:43:28+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of qanipalaat (Arknights)
=================================
This is the dataset of qanipalaat (Arknights), containing 15 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a We... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
f0222b49ede23144776b0eb2518e62d66521fc18 | ## REFUGE
REFUGE Challenge provides a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one.
This dataset supplied multi-rater annotations of [REFUGE Challenge Dataset](https://refuge.grand-challenge.org/). The challenge dataset releases majorit... | realslimman/REFUGE-MultiRater | [
"task_categories:image-segmentation",
"task_categories:image-classification",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"segmentation",
"fundus image",
"glaucoma",
"medical image",
"region:us"
] | 2023-12-20T16:59:07+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["image-segmentation", "image-classification"], "pretty_name": "REFUGE", "tags": ["segmentation", "fundus image", "glaucoma", "medical image"]} | 2023-12-22T11:50:07+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-segmentation #task_categories-image-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #segmentation #fundus image #glaucoma #medical image #region-us
| ## REFUGE
REFUGE Challenge provides a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one.
This dataset supplied multi-rater annotations of REFUGE Challenge Dataset. The challenge dataset releases majority vote (with some modifications) result... | [
"## REFUGE\nREFUGE Challenge provides a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one.\n\nThis dataset supplied multi-rater annotations of REFUGE Challenge Dataset. The challenge dataset releases majority vote (with some modifications... | [
"TAGS\n#task_categories-image-segmentation #task_categories-image-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #segmentation #fundus image #glaucoma #medical image #region-us \n",
"## REFUGE\nREFUGE Challenge provides a data set of 1200 fundus images with ground truth segmentatio... | [
70,
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"passage: TAGS\n#task_categories-image-segmentation #task_categories-image-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #segmentation #fundus image #glaucoma #medical image #region-us \n## REFUGE\nREFUGE Challenge provides a data set of 1200 fundus images with ground truth segmenta... |
36fbbecb63d902d8c43a38cf41107546065c334a |
# Dataset of chongyue (Arknights)
This is the dataset of chongyue (Arknights), containing 17 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface... | AppleHarem/chongyue_arknights | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2023-12-20T16:59:51+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2023-12-20T16:59:53+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of chongyue (Arknights)
===============================
This is the dataset of chongyue (Arknights), containing 17 images and their tags.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).
This is a WebUI co... | [] | [
"TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] | [
44
] | [
"passage: TAGS\n#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us \n"
] |
a0e9b8705bf9df6b452189a62d1a782a67fe9b67 |
## Description
I post memes every day, for YOUR entertainment!
## Model
SVD
## LoRA
veryVANYA/ps1-graphics-sdxl-v2
## Tags
- Memes
- Gaming
## Voice
Cloée
## Music
Upbeat video game music.
## Prompt
You will attempt to generate memes, such as cats doing silly things, funny deaths in video games, and any... | WMGX/ai-tube-dailydoseofmemes | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2023-12-20T17:05:00+00:00 | {"license": "cc-by-nc-sa-4.0", "pretty_name": "Your Daily Dose of Memes"} | 2023-12-21T03:50:18+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
## Description
I post memes every day, for YOUR entertainment!
## Model
SVD
## LoRA
veryVANYA/ps1-graphics-sdxl-v2
## Tags
- Memes
- Gaming
## Voice
Cloée
## Music
Upbeat video game music.
## Prompt
You will attempt to generate memes, such as cats doing silly things, funny deaths in video games, and any... | [
"## Description\n\nI post memes every day, for YOUR entertainment!",
"## Model\n\nSVD",
"## LoRA\n\nveryVANYA/ps1-graphics-sdxl-v2",
"## Tags\n\n- Memes\n- Gaming",
"## Voice\n\nCloée",
"## Music\n\nUpbeat video game music.",
"## Prompt\n\nYou will attempt to generate memes, such as cats doing silly th... | [
"TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n",
"## Description\n\nI post memes every day, for YOUR entertainment!",
"## Model\n\nSVD",
"## LoRA\n\nveryVANYA/ps1-graphics-sdxl-v2",
"## Tags\n\n- Memes\n- Gaming",
"## Voice\n\nCloée",
"## Music\n\nUpbeat video game music.",
"## Prompt\n\nYou will atte... | [
19,
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53
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"passage: TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n## Description\n\nI post memes every day, for YOUR entertainment!## Model\n\nSVD## LoRA\n\nveryVANYA/ps1-graphics-sdxl-v2## Tags\n\n- Memes\n- Gaming## Voice\n\nCloée## Music\n\nUpbeat video game music.## Prompt\n\nYou will attempt to generate memes, such as ca... |
c3df75d428ef322a311e3bd123c2a5d5897a37d0 | # Local Urban Plans And Natural risks (LUPAN)
## Overview
In France, urban planning and natural risk management operate the Local Land Plans (PLU – Plan Local d'Urbanisme) and the Natural risk prevention plans (PPRn – Plan de Prévention des Risques naturels) containing land use rules. To facilitate automatic extractio... | Herelles/lupan | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:fr",
"urban planning",
"natural risks",
"risk management",
"geography",
"region:us"
] | 2023-12-20T17:41:35+00:00 | {"language": ["fr"], "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "Local Urban Plans And Natural risks (LUPAN)", "tags": ["urban planning", "natural risks", "risk management", "geography"]} | 2024-01-22T18:06:02+00:00 | [] | [
"fr"
] | TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-French #urban planning #natural risks #risk management #geography #region-us
| # Local Urban Plans And Natural risks (LUPAN)
## Overview
In France, urban planning and natural risk management operate the Local Land Plans (PLU – Plan Local d'Urbanisme) and the Natural risk prevention plans (PPRn – Plan de Prévention des Risques naturels) containing land use rules. To facilitate automatic extractio... | [
"# Local Urban Plans And Natural risks (LUPAN)",
"## Overview\n\nIn France, urban planning and natural risk management operate the Local Land Plans (PLU – Plan Local d'Urbanisme) and the Natural risk prevention plans (PPRn – Plan de Prévention des Risques naturels) containing land use rules. To facilitate automat... | [
"TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-French #urban planning #natural risks #risk management #geography #region-us \n",
"# Local Urban Plans And Natural risks (LUPAN)",
"## Overview\n\nIn France, urban planning and natural risk management operate the Local Land Plans (P... | [
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"passage: TAGS\n#task_categories-text-classification #size_categories-1K<n<10K #language-French #urban planning #natural risks #risk management #geography #region-us \n# Local Urban Plans And Natural risks (LUPAN)## Overview\n\nIn France, urban planning and natural risk management operate the Local Land Plans (PLU ... |
3ce0ee5d00c8d0dcf27baa6a408c5d2fcf2fbbf8 |
# FinacialPhrasebank 66agree test:train split
A selection of [FinacialPhrasebank](https://huggingface.co/datasets/financial_phrasebank) where 66% of annotators agreed on the classification split into 90% training and 10% test. | winddude/finacial_pharsebank_66agree_split | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"source_datasets:https://huggingface.co/datasets/financial_phrasebank",
"language:en",
"license:apache-2.0",
"finance... | 2023-12-20T18:32:21+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": "apache-2.0", "source_datasets": ["https://huggingface.co/datasets/financial_phrasebank"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification", "sentiment-classification"], "ta... | 2023-12-20T19:24:50+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #source_datasets-https-//huggingface.co/datasets/financial_phrasebank #language-English #license-apache-2.0 #finance #region-us
|
# FinacialPhrasebank 66agree test:train split
A selection of FinacialPhrasebank where 66% of annotators agreed on the classification split into 90% training and 10% test. | [
"# FinacialPhrasebank 66agree test:train split\n\nA selection of FinacialPhrasebank where 66% of annotators agreed on the classification split into 90% training and 10% test."
] | [
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723da171fb4ba8f37e7c4cee9b3ef1ca383ec750 | # Dataset Card for "similar"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Lollitor/similar | [
"region:us"
] | 2023-12-20T19:09:47+00:00 | {"dataset_info": {"config_name": "Lollitor", "features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 303, "num_examples": 7}], "download_size": 1067, "dataset_size": 303}, "configs": [{"config_name": "Lollitor", "data_files": [{"split": "train", "path": "Lollitor/train-*"}]}]} | 2023-12-20T19:14:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "similar"
More Information needed | [
"# Dataset Card for \"similar\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"similar\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"similar\"\n\nMore Information needed"
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496710ece8b9df9a7ab587faca3fefe98eaf195d | The hf dataset contains 2 evaluation datasets
- single_turn - The converstaion length for this evaluation dataset is 2. It consists of a user ask followed by a function call by assistant.
- multi_turn - The conversation length is variable here but contains a combination of user messages, assistant function calls, assi... | fireworks-ai/function-calling-eval-dataset-v0 | [
"region:us"
] | 2023-12-20T19:23:12+00:00 | {} | 2023-12-20T19:25:45+00:00 | [] | [] | TAGS
#region-us
| The hf dataset contains 2 evaluation datasets
- single_turn - The converstaion length for this evaluation dataset is 2. It consists of a user ask followed by a function call by assistant.
- multi_turn - The conversation length is variable here but contains a combination of user messages, assistant function calls, assi... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
36ab2382746e43d1e8e0b8e0a64f8b6030d16bcd | Using SeamlessM4T to translate Arguana to portuguese. | leonardo-avila/arguana_pt | [
"language:pt",
"license:apache-2.0",
"region:us"
] | 2023-12-20T20:45:48+00:00 | {"language": ["pt"], "license": "apache-2.0"} | 2023-12-20T21:00:12+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #license-apache-2.0 #region-us
| Using SeamlessM4T to translate Arguana to portuguese. | [] | [
"TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
] | [
20
] | [
"passage: TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
] |
a264a5995ddbae31ca06194351632094388d1055 | Using SeamlessM4T to translate NFCorpus to portuguese. | leonardo-avila/nfcorpus_pt | [
"language:pt",
"license:apache-2.0",
"region:us"
] | 2023-12-20T20:55:58+00:00 | {"language": ["pt"], "license": "apache-2.0"} | 2023-12-20T20:59:53+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #license-apache-2.0 #region-us
| Using SeamlessM4T to translate NFCorpus to portuguese. | [] | [
"TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
] | [
20
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"passage: TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
] |
c989ffbceb9c089a6d438a960d5c90d7a750cf05 | Using SeamlessM4T to translate SCIDOCS to portuguese. | leonardo-avila/scidocs_pt | [
"language:pt",
"license:apache-2.0",
"region:us"
] | 2023-12-20T21:08:52+00:00 | {"language": ["pt"], "license": "apache-2.0"} | 2023-12-20T21:18:12+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #license-apache-2.0 #region-us
| Using SeamlessM4T to translate SCIDOCS to portuguese. | [] | [
"TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
] | [
20
] | [
"passage: TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
] |
6a6885fdd633912e0b33455519574f83409d596e | Using SeamlessM4T to translate SciFact to portuguese. | leonardo-avila/scifact_pt | [
"language:pt",
"license:apache-2.0",
"region:us"
] | 2023-12-20T21:10:40+00:00 | {"language": ["pt"], "license": "apache-2.0"} | 2023-12-20T21:13:18+00:00 | [] | [
"pt"
] | TAGS
#language-Portuguese #license-apache-2.0 #region-us
| Using SeamlessM4T to translate SciFact to portuguese. | [] | [
"TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
] | [
20
] | [
"passage: TAGS\n#language-Portuguese #license-apache-2.0 #region-us \n"
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b7ddee617c1901f86c242f0162e8a6d51d2fd818 |
# Dataset Card for Evaluation run of VAGOsolutions/SauerkrautLM-SOLAR-Instruct
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [VAGOsolutions/SauerkrautLM-SOLAR-Instruct](https://huggingface.co/VAGOsolutions/SauerkrautLM-SOLAR-Instruct) on the [Open L... | open-llm-leaderboard/details_VAGOsolutions__SauerkrautLM-SOLAR-Instruct | [
"region:us"
] | 2023-12-20T21:14:52+00:00 | {"pretty_name": "Evaluation run of VAGOsolutions/SauerkrautLM-SOLAR-Instruct", "dataset_summary": "Dataset automatically created during the evaluation run of model [VAGOsolutions/SauerkrautLM-SOLAR-Instruct](https://huggingface.co/VAGOsolutions/SauerkrautLM-SOLAR-Instruct) on the [Open LLM Leaderboard](https://huggingf... | 2023-12-20T21:15:18+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of VAGOsolutions/SauerkrautLM-SOLAR-Instruct
Dataset automatically created during the evaluation run of model VAGOsolutions/SauerkrautLM-SOLAR-Instruct on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
Th... | [
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a7f911987f08bee53b54ef7d60d341e32c109864 |
# Dataset Card for Evaluation run of cookinai/CatMacaroni-Slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [cookinai/CatMacaroni-Slerp](https://huggingface.co/cookinai/CatMacaroni-Slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_cookinai__CatMacaroni-Slerp | [
"region:us"
] | 2023-12-20T21:19:42+00:00 | {"pretty_name": "Evaluation run of cookinai/CatMacaroni-Slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [cookinai/CatMacaroni-Slerp](https://huggingface.co/cookinai/CatMacaroni-Slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2023-12-20T21:20:07+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of cookinai/CatMacaroni-Slerp
Dataset automatically created during the evaluation run of model cookinai/CatMacaroni-Slerp on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created fro... | [
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bd35ade977fc01cee4628be28dd31cd4de029960 |
# Dataset Card for Evaluation run of WizardLM/WizardMath-7B-V1.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_WizardLM__WizardMath-7B-V1.1 | [
"region:us"
] | 2023-12-20T21:24:46+00:00 | {"pretty_name": "Evaluation run of WizardLM/WizardMath-7B-V1.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2023-12-20T21:25:09+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of WizardLM/WizardMath-7B-V1.1
Dataset automatically created during the evaluation run of model WizardLM/WizardMath-7B-V1.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created f... | [
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"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of WizardLM/WizardMath-7B-V1.1\n\n\n\nDataset automatically created during the evaluation run of model WizardLM/WizardMath-7B-V1.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated ta... | [
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75f0ba2e63ee67fa34aab6fdc4335c630a51360c |
# Dataset Card for Evaluation run of beberik/TinyExperts-v0-4x1B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [beberik/TinyExperts-v0-4x1B](https://huggingface.co/beberik/TinyExperts-v0-4x1B) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_beberik__TinyExperts-v0-4x1B | [
"region:us"
] | 2023-12-20T21:56:40+00:00 | {"pretty_name": "Evaluation run of beberik/TinyExperts-v0-4x1B", "dataset_summary": "Dataset automatically created during the evaluation run of model [beberik/TinyExperts-v0-4x1B](https://huggingface.co/beberik/TinyExperts-v0-4x1B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2023-12-20T21:57:03+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of beberik/TinyExperts-v0-4x1B
Dataset automatically created during the evaluation run of model beberik/TinyExperts-v0-4x1B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created f... | [
"# Dataset Card for Evaluation run of beberik/TinyExperts-v0-4x1B\n\n\n\nDataset automatically created during the evaluation run of model beberik/TinyExperts-v0-4x1B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has be... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of beberik/TinyExperts-v0-4x1B\n\n\n\nDataset automatically created during the evaluation run of model beberik/TinyExperts-v0-4x1B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated ta... | [
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e269eac3173d96d7d278fe9a25a9f0ce093591cc |
# Regex Dataset
This repository contains a collection of regular expressions (regex) sourced from [regex101.com](https://regex101.com).
## Dataset
The dataset is composed of various regular expressions. Each regex is associated with a specific use case or pattern matching requirement.
**Example**
```json
```
| innovatorved/regex_dataset | [
"license:mit",
"regex",
"region:us"
] | 2023-12-20T22:17:02+00:00 | {"license": "mit", "pretty_name": "Regex Dataset", "tags": ["regex"]} | 2023-12-20T22:30:15+00:00 | [] | [] | TAGS
#license-mit #regex #region-us
|
# Regex Dataset
This repository contains a collection of regular expressions (regex) sourced from URL.
## Dataset
The dataset is composed of various regular expressions. Each regex is associated with a specific use case or pattern matching requirement.
Example
| [
"# Regex Dataset\n\nThis repository contains a collection of regular expressions (regex) sourced from URL.",
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"passage: TAGS\n#license-mit #regex #region-us \n# Regex Dataset\n\nThis repository contains a collection of regular expressions (regex) sourced from URL.## Dataset\n\nThe dataset is composed of various regular expressions. Each regex is associated with a specific use case or pattern matching requirement.\n\nExampl... |
541b2b8f9afe00e4f1c1a63413115fc9a05aae2c |
# Dataset Card for Evaluation run of MisterRid/saulgoodman-2x7b-alpha1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MisterRid/saulgoodman-2x7b-alpha1](https://huggingface.co/MisterRid/saulgoodman-2x7b-alpha1) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_MisterRid__saulgoodman-2x7b-alpha1 | [
"region:us"
] | 2023-12-20T22:32:40+00:00 | {"pretty_name": "Evaluation run of MisterRid/saulgoodman-2x7b-alpha1", "dataset_summary": "Dataset automatically created during the evaluation run of model [MisterRid/saulgoodman-2x7b-alpha1](https://huggingface.co/MisterRid/saulgoodman-2x7b-alpha1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2023-12-20T22:33:04+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of MisterRid/saulgoodman-2x7b-alpha1
Dataset automatically created during the evaluation run of model MisterRid/saulgoodman-2x7b-alpha1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has be... | [
"# Dataset Card for Evaluation run of MisterRid/saulgoodman-2x7b-alpha1\n\n\n\nDataset automatically created during the evaluation run of model MisterRid/saulgoodman-2x7b-alpha1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe da... | [
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49eb0b1e71cd56a3c5e4db5d98f9e247c2d5dc51 | # Open-Orca/SlimOrca-Dedup
```
{
"processed": true,
"4keys": true,
"jsonifize": true,
"uploaded": true
}
```
LICENSE FOUND AT: https://huggingface.co/datasetsOpen-Orca/SlimOrca-Dedup
Reformatting generated by [AlignmentLab.AI](https://Alignmentlab.ai) please refer to the original authors work for attri... | jsonifize/SlimOrca-Dedup-4keys | [
"source_datasets:Open-Orca/SlimOrca-Dedup",
"language:en",
"jsonifize",
"NLP",
"region:us"
] | 2023-12-20T22:57:34+00:00 | {"language": ["en"], "source_datasets": ["Open-Orca/SlimOrca-Dedup"], "pretty_name": "SlimOrca-Dedup-4keys", "tags": ["jsonifize", "NLP"], "dataset_info": {"features": [{"name": "line", "dtype": "string"}, {"name": "values", "dtype": "string"}, {"name": "schema", "dtype": "string"}, {"name": "randomvalueremoved", "dtyp... | 2023-12-22T17:15:00+00:00 | [] | [
"en"
] | TAGS
#source_datasets-Open-Orca/SlimOrca-Dedup #language-English #jsonifize #NLP #region-us
| # Open-Orca/SlimOrca-Dedup
LICENSE FOUND AT: URL
Reformatting generated by AlignmentLab.AI please refer to the original authors work for attribution
# line
# schema
# values
# randomvalueremoved
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] |
8d0e293b10769f3986dd8e1f6265cb37f1ca6eb9 | # Sentiment Analysis dataset
This dataset is a concatenation of the [`IMDB 50K`](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv), the [`Twitter US Airline Sentiment`](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment), App Reviews scraped f... | AiresPucrs/sentiment-analysis | [
"license:apache-2.0",
"region:us"
] | 2023-12-20T23:02:19+00:00 | {"license": "apache-2.0", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 71842095, "num_examples": 85089}], "download_size": 44486982, "dataset_size": 71842095}, "configs": [{"config_name": "default", "data_files": [{"sp... | 2024-02-03T16:17:03+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Sentiment Analysis dataset
This dataset is a concatenation of the 'IMDB 50K', the 'Twitter US Airline Sentiment', App Reviews scraped from Google Play, and the 'EcoPreprocessed'.
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] |
4f3620c2aa3964453a31ca3c35d838787e3981d5 |
# Dataset Card for Evaluation run of xDAN-AI/xDAN-L1Mix-DeepThinking-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [xDAN-AI/xDAN-L1Mix-DeepThinking-v2](https://huggingface.co/xDAN-AI/xDAN-L1Mix-DeepThinking-v2) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_xDAN-AI__xDAN-L1Mix-DeepThinking-v2 | [
"region:us"
] | 2023-12-20T23:55:08+00:00 | {"pretty_name": "Evaluation run of xDAN-AI/xDAN-L1Mix-DeepThinking-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [xDAN-AI/xDAN-L1Mix-DeepThinking-v2](https://huggingface.co/xDAN-AI/xDAN-L1Mix-DeepThinking-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2023-12-20T23:55:29+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of xDAN-AI/xDAN-L1Mix-DeepThinking-v2
Dataset automatically created during the evaluation run of model xDAN-AI/xDAN-L1Mix-DeepThinking-v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has ... | [
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79ba3d356867164afaaa5f0a56f2712cb1277985 | # xsum diverse
Summarize the xsum's article to GPT4 and Gemini at two levels: a detailed summary and a one-sentence summary.
* 'article' : original article of xsum
* 'truncated_article' : article truncated by token size 1800
* 'one_sent_sum' : summary of article in one sentence
* 'detail_sum' : article summarized with ... | sayi/xsum_diverse | [
"task_categories:summarization",
"language:en",
"region:us"
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#task_categories-summarization #language-English #region-us
| # xsum diverse
Summarize the xsum's article to GPT4 and Gemini at two levels: a detailed summary and a one-sentence summary.
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16323f191868c2f89712ae5d8c8e2363e2259a3d | # Dataset Card for "quirky_nli"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_nli | [
"region:us"
] | 2023-12-21T00:46:40+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2"... | 2024-01-12T11:50:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_nli"
More Information needed | [
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1dbcabac364d5d8029748cb664722bf8942f1aba | # Dataset Card for "quirky_nli_alice_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_nli_alice_easy | [
"region:us"
] | 2023-12-21T00:46:44+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2"... | 2024-01-12T11:50:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_nli_alice_easy"
More Information needed | [
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e450c3fc2c640bf4dc29b7115d67bc4fd94ba739 | # Dataset Card for "quirky_nli_alice_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_nli_alice_hard | [
"region:us"
] | 2023-12-21T00:46:49+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2"... | 2024-01-12T11:50:25+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_nli_alice_hard"
More Information needed | [
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fba7c6474bea4472bc8757d468f0d639162ccf47 | # Dataset Card for "quirky_nli_alice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_nli_alice | [
"region:us"
] | 2023-12-21T00:46:55+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2"... | 2024-01-12T11:50:30+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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15d04e2fd493248aee09a39a89c65d288f0c62c9 | # Dataset Card for "quirky_nli_bob_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_nli_bob_easy | [
"region:us"
] | 2023-12-21T00:47:03+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2"... | 2024-01-12T11:50:33+00:00 | [] | [] | TAGS
#region-us
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More Information needed | [
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2b2cc1362902a5d18c70a2827d6dc4b6c6a182bf | # Dataset Card for "quirky_nli_bob_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_nli_bob_hard | [
"region:us"
] | 2023-12-21T00:47:08+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2"... | 2024-01-12T11:50:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_nli_bob_hard"
More Information needed | [
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b9391ea565e0457bd55d739d0622e8d78386fc4d | # Dataset Card for "quirky_nli_bob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_nli_bob | [
"region:us"
] | 2023-12-21T00:47:12+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2"... | 2024-01-12T11:50:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_nli_bob"
More Information needed | [
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b1206737b66ec12d5787dc978db4c7322d3d21a5 | # KuaiVideo_x1
+ **Dataset description:**
The raw dataset is released by the Kuaishou Competition in the China MM 2018 conference, which aims to predict users' click probabilities for new micro-videos. In this dataset, there are multiple types of interactions between users and micro-videos, such as "click", "not ... | reczoo/KuaiVideo_x1 | [
"arxiv:2306.08808",
"region:us"
] | 2023-12-21T02:06:36+00:00 | {} | 2023-12-23T10:06:06+00:00 | [
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#arxiv-2306.08808 #region-us
| KuaiVideo\_x1
=============
* Dataset description:
The raw dataset is released by the Kuaishou Competition in the China MM 2018 conference, which aims to predict users' click probabilities for new micro-videos. In this dataset, there are multiple types of interactions between users and micro-videos, such as "click"... | [] | [
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e67a19051e00bbbcc2d27c3398b7673d925d859a |
# GIS: Github Issue Similarity Dataset
This dataset was released from the paper: https://arxiv.org/abs/2309.12871
# Citation
If you use our dataset in your research, welcome to cite us as follows:
```bibtex
@article{li2023angle,
title={AnglE-optimized Text Embeddings},
author={Li, Xianming and Li, Jing},
jou... | WhereIsAI/github-issue-similarity | [
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|
# GIS: Github Issue Similarity Dataset
This dataset was released from the paper: URL
If you use our dataset in your research, welcome to cite us as follows:
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da7becae991756678ce225d6df1611b0cf5cc025 | ## Description:
This is a small subset of the Open Assistant dataset that has been normalized and rewritten into more consistent markdown formatting. | PocketDoc/Guanaco-Unchained-Refined | [
"task_categories:question-answering",
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"region:us"
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#task_categories-question-answering #task_categories-conversational #language-English #region-us
| ## Description:
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c3a68364bd81388f2e49ae6ecf058840ebd0b5e2 | # Dataset Card for "nli-zh-tw-crosslingual"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Mike0307/nli-zh-tw-crosslingual | [
"region:us"
] | 2023-12-21T02:46:10+00:00 | {"dataset_info": {"features": [{"name": "text1", "dtype": "string"}, {"name": "text2", "dtype": "string"}, {"name": "label", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 64769865, "num_examples": 158019}, {"name": "validate", "num_bytes": 7962943, "num_examples": 19596}, {"name": "test", "num_bytes":... | 2023-12-21T02:46:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "nli-zh-tw-crosslingual"
More Information needed | [
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44766e0519725b95796a71af5427da8bd7f703b3 | ## Description:
This is a small subset of the Wizard-Vicuna dataset that has been normalized and rewritten into more consistent markdown formatting. | PocketDoc/Wizard-Vicuna-Refined | [
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4063b29fc3288c1ea5513d2be1dc7ebaacc4888a |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | CCCCCCChy/Myfirstdataset | [
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#license-mit #region-us
|
# Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
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### Dataset Description
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8fcdd926fe6748296867448beb2a5c15756c9d6f | # Dataset Card for "zh-tw-machine-translation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Mike0307/zh-tw-machine-translation | [
"region:us"
] | 2023-12-21T03:43:41+00:00 | {"dataset_info": {"features": [{"name": "src_lang", "dtype": "string"}, {"name": "trg_lang", "dtype": "string"}, {"name": "src_text", "dtype": "string"}, {"name": "trg_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12673357, "num_examples": 30352}, {"name": "validate", "num_bytes": 1495811, "num_... | 2023-12-21T03:43:59+00:00 | [] | [] | TAGS
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799f0b8d0229d10cb8f1d415464aa40191a3b9f7 | # Dataset Card for "language-detection"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Mike0307/language-detection | [
"region:us"
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#region-us
| # Dataset Card for "language-detection"
More Information needed | [
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8ca13c5aba0e43771126fbdeac2b32584440bd29 | # Dataset Card for "vocal_imitation_extract_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/vocal_imitation_extract_unit | [
"region:us"
] | 2023-12-21T03:54:15+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "academicodec_hifi_16k_320d", "path": "data/academicodec_hifi_16k_320d-*"}, {"split": "academicodec_hifi_16k_320d_large_uni", "path": "data/academicodec_hifi_16k_320d_large_uni-*"}, {"split": "academicodec_hifi_24k_320d", "path": "data/academicodec_hifi_2... | 2023-12-21T03:56:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vocal_imitation_extract_unit"
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a14c190383d95cee50af87048a7cf41590f90788 | # Dataset Card for "ATC_train_noise"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/ATC_train_noise | [
"region:us"
] | 2023-12-21T05:40:34+00:00 | {"dataset_info": {"features": [{"name": "audio", "struct": [{"name": "array", "sequence": "float64"}, {"name": "path", "dtype": "null"}, {"name": "sampling_rate", "dtype": "int64"}]}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10104439114,... | 2023-12-23T13:22:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ATC_train_noise"
More Information needed | [
"# Dataset Card for \"ATC_train_noise\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"ATC_train_noise\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"ATC_train_noise\"\n\nMore Information needed"
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bd65adcbc09ca0badc5795f2778d02ec16bcaccb | # Dataset Card for "ATC_test_noise"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/ATC_test_noise | [
"region:us"
] | 2023-12-21T05:53:08+00:00 | {"dataset_info": {"features": [{"name": "audio", "struct": [{"name": "array", "sequence": "float64"}, {"name": "path", "dtype": "null"}, {"name": "sampling_rate", "dtype": "int64"}]}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 455044312, "... | 2023-12-23T13:22:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ATC_test_noise"
More Information needed | [
"# Dataset Card for \"ATC_test_noise\"\n\nMore Information needed"
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1e620d90c70547850e80d2229752a1ec48860d5d | # Dataset Card for "ATC_test_2_noise"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adityarra07/ATC_test_2_noise | [
"region:us"
] | 2023-12-21T05:53:42+00:00 | {"dataset_info": {"features": [{"name": "audio", "struct": [{"name": "array", "sequence": "float64"}, {"name": "path", "dtype": "null"}, {"name": "sampling_rate", "dtype": "int64"}]}, {"name": "transcription", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 454815537, "... | 2023-12-23T13:22:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ATC_test_2_noise"
More Information needed | [
"# Dataset Card for \"ATC_test_2_noise\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"ATC_test_2_noise\"\n\nMore Information needed"
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6005f6f79105fc278fed17589585bd8468b45abe | # Dataset Card for "notMNIST"
## Overview
The notMNIST dataset is a collection of images of letters from A to J in various fonts. It is designed as a more challenging alternative to the traditional MNIST dataset, which consists of handwritten digits. The notMNIST dataset is commonly used in machine learning and compu... | anubhavmaity/notMNIST | [
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"size_categories:10K<n<100K",
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] | 2023-12-21T06:26:35+00:00 | {"size_categories": ["10K<n<100K"], "task_categories": ["image-classification", "image-to-image", "text-to-image", "image-to-text"], "pretty_name": "notMNIST", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {... | 2023-12-21T06:57:23+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-image-to-image #task_categories-text-to-image #task_categories-image-to-text #size_categories-10K<n<100K #mnist #notmnist #region-us
| # Dataset Card for "notMNIST"
## Overview
The notMNIST dataset is a collection of images of letters from A to J in various fonts. It is designed as a more challenging alternative to the traditional MNIST dataset, which consists of handwritten digits. The notMNIST dataset is commonly used in machine learning and compu... | [
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4bb3ca462b6e80da88a77df2be4992cfc0392909 | # Dataset Card for "Reflect_WizV2_All"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | umd-zhou-lab/Reflect_WizV2_All | [
"region:us"
] | 2023-12-21T07:12:54+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}]}], "splits": [{"name": "origin", "num_bytes": 201101522, "num_examples": 73000}, {"name": "reflect_instruction", "num_bytes": 173437259, "num_examples": 73000}, {"name": "reflect... | 2023-12-21T07:22:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Reflect_WizV2_All"
More Information needed | [
"# Dataset Card for \"Reflect_WizV2_All\"\n\nMore Information needed"
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b186bedb6b708fd9afbbfe6c36799611b47769b2 | # Dataset Card for "Reflect_Wiz70_All"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | umd-zhou-lab/Reflect_Wiz70_All | [
"region:us"
] | 2023-12-21T07:23:26+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}]}], "splits": [{"name": "origin", "num_bytes": 130900545, "num_examples": 70000}, {"name": "reflect_instruction", "num_bytes": 132137005, "num_examples": 70000}, {"name": "reflect... | 2023-12-21T07:27:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Reflect_Wiz70_All"
More Information needed | [
"# Dataset Card for \"Reflect_Wiz70_All\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"Reflect_Wiz70_All\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Reflect_Wiz70_All\"\n\nMore Information needed"
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2a0f42c8c011a6e81e93493494c6df5637372c7a | # Dataset Card for "Reflect_Alpaca_All"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | umd-zhou-lab/Reflect_Alpaca_All | [
"region:us"
] | 2023-12-21T07:27:26+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "input", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}]}], "splits": [{"name": "origin", "num_bytes": 19000112, "num_examples": 52002}, {"name": "reflect_instruction", "num_bytes": 56984627, "num_... | 2023-12-21T07:28:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Reflect_Alpaca_All"
More Information needed | [
"# Dataset Card for \"Reflect_Alpaca_All\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"Reflect_Alpaca_All\"\n\nMore Information needed"
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745ab5ac5381ffd0e7754796d5f11264d4aa4d65 | # Dataset Card for "Alpaca_Analysis_llama2_7b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MingLiiii/Alpaca_Analysis_llama2_7b | [
"region:us"
] | 2023-12-21T07:31:03+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "loss", "sequence": "float64"}, {"name": "ppl", "sequence": "float64"}]}], "splits": [{"name": "origin", "num_bytes": 3744144, "num_examples": 52002}, {"name": "reflect_instruction", "num_bytes": 3744144, "num_examples": 52002}, {"name": "reflect_respo... | 2023-12-21T07:32:08+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Alpaca_Analysis_llama2_7b"
More Information needed | [
"# Dataset Card for \"Alpaca_Analysis_llama2_7b\"\n\nMore Information needed"
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d046c3738cfe28c91c6c88c1891706bbe8a75986 | # Dataset Card for "quirky_sentiment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_sentiment | [
"region:us"
] | 2023-12-21T07:31:54+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, ... | 2024-01-12T23:34:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_sentiment"
More Information needed | [
"# Dataset Card for \"quirky_sentiment\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"quirky_sentiment\"\n\nMore Information needed"
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765075c8005ecce3d70bc15aded45a0244ad657e | # Dataset Card for "quirky_sentiment_alice_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_sentiment_alice_easy | [
"region:us"
] | 2023-12-21T07:31:58+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, ... | 2024-01-12T23:34:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_sentiment_alice_easy"
More Information needed | [
"# Dataset Card for \"quirky_sentiment_alice_easy\"\n\nMore Information needed"
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81ac13809152965fc46acedca34a9ba88264b029 | # Dataset Card for "quirky_sentiment_alice_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_sentiment_alice_hard | [
"region:us"
] | 2023-12-21T07:32:02+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, ... | 2024-01-12T23:34:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_sentiment_alice_hard"
More Information needed | [
"# Dataset Card for \"quirky_sentiment_alice_hard\"\n\nMore Information needed"
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0dd382d2511858d5371b380d5e435b0da35260a6 | # Dataset Card for "quirky_sentiment_alice"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_sentiment_alice | [
"region:us"
] | 2023-12-21T07:32:06+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, ... | 2024-01-12T23:34:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_sentiment_alice"
More Information needed | [
"# Dataset Card for \"quirky_sentiment_alice\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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857c9e4613b298eab4bd990f7ae5df8d01d9fdcb | # Dataset Card for "quirky_sentiment_bob_easy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_sentiment_bob_easy | [
"region:us"
] | 2023-12-21T07:32:11+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, ... | 2024-01-12T23:34:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_sentiment_bob_easy"
More Information needed | [
"# Dataset Card for \"quirky_sentiment_bob_easy\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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2661a88b6eff75b228f4ed0f1066ebef655da5e5 | # Dataset Card for "quirky_sentiment_bob_hard"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_sentiment_bob_hard | [
"region:us"
] | 2023-12-21T07:32:15+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, ... | 2024-01-12T23:34:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_sentiment_bob_hard"
More Information needed | [
"# Dataset Card for \"quirky_sentiment_bob_hard\"\n\nMore Information needed"
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da3dc906a31614eb828f54239a5bd825abc655aa | # Dataset Card for "quirky_sentiment_bob"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/quirky_sentiment_bob | [
"region:us"
] | 2023-12-21T07:32:19+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, ... | 2024-01-12T23:34:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "quirky_sentiment_bob"
More Information needed | [
"# Dataset Card for \"quirky_sentiment_bob\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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aa9575d59a9a094922da9f1ce04f26211325a63e | # Dataset Card for "Alpaca_Analysis_llama2_13b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MingLiiii/Alpaca_Analysis_llama2_13b | [
"region:us"
] | 2023-12-21T07:32:23+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "loss", "sequence": "float64"}, {"name": "ppl", "sequence": "float64"}]}], "splits": [{"name": "origin", "num_bytes": 3755354, "num_examples": 52002}, {"name": "reflect_instruction", "num_bytes": 3757082, "num_examples": 52002}, {"name": "reflect_respo... | 2023-12-21T07:33:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Alpaca_Analysis_llama2_13b"
More Information needed | [
"# Dataset Card for \"Alpaca_Analysis_llama2_13b\"\n\nMore Information needed"
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1c7dd120ed49f04d50d2f52f6f3359071d9ddb81 | # Dataset Card for "Wiz70_Analysis_llama2_7b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MingLiiii/Wiz70_Analysis_llama2_7b | [
"region:us"
] | 2023-12-21T07:33:54+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "loss", "sequence": "float64"}, {"name": "ppl", "sequence": "float64"}]}], "splits": [{"name": "origin", "num_bytes": 5057436, "num_examples": 70000}, {"name": "reflect_instruction", "num_bytes": 5040000, "num_examples": 70000}, {"name": "reflect_respo... | 2023-12-21T07:35:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wiz70_Analysis_llama2_7b"
More Information needed | [
"# Dataset Card for \"Wiz70_Analysis_llama2_7b\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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a72bd08b472ed3d0b82e1ac31734bcd0ea1d024c | # Dataset Card for "Wiz70_Analysis_llama2_13b"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MingLiiii/Wiz70_Analysis_llama2_13b | [
"region:us"
] | 2023-12-21T07:35:18+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "loss", "sequence": "float64"}, {"name": "ppl", "sequence": "float64"}]}], "splits": [{"name": "origin", "num_bytes": 5057436, "num_examples": 70000}, {"name": "reflect_instruction", "num_bytes": 5040000, "num_examples": 70000}, {"name": "reflect_respo... | 2023-12-21T07:35:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Wiz70_Analysis_llama2_13b"
More Information needed | [
"# Dataset Card for \"Wiz70_Analysis_llama2_13b\"\n\nMore Information needed"
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] |
e09962156038a3dc64fe3aa1fddacf1891c99c05 |
Датасет на английском и русском (преимущественно) состоящих из других различных датасетов.<br>
Из английского в датасете преобладает pubmed, просто потому что оригинальный датасет сам по себе большой<br>
Датасет состоит из 250000 строк, так же есть на 1850000<br>
Вид данных:<br>
```<s>[user] User text [/user][assista... | ERmak1581/ru_en_qa | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:ru",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-21T07:38:52+00:00 | {"language": ["ru", "en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "\u0412\u043e\u043f\u0440\u043e\u0441-\u043e\u0442\u0432\u0435\u0442 \u043f\u0430\u0440\u044b"} | 2023-12-21T07:48:07+00:00 | [] | [
"ru",
"en"
] | TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-Russian #language-English #license-apache-2.0 #region-us
|
Датасет на английском и русском (преимущественно) состоящих из других различных датасетов.<br>
Из английского в датасете преобладает pubmed, просто потому что оригинальный датасет сам по себе большой<br>
Датасет состоит из 250000 строк, так же есть на 1850000<br>
Вид данных:<br>
| [] | [
"TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-Russian #language-English #license-apache-2.0 #region-us \n"
] | [
46
] | [
"passage: TAGS\n#task_categories-text-generation #size_categories-100K<n<1M #language-Russian #language-English #license-apache-2.0 #region-us \n"
] |
86d92f252666ae8a3c123b958d85d97d46f1f59c | # Dataset Card for "sRecycled_Alpaca"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | umd-zhou-lab/sRecycled_Alpaca | [
"region:us"
] | 2023-12-21T07:46:25+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "input", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 62380384, "num_examples": 37114}], "download_size": 33868520, "dataset_size": 62380384}} | 2023-12-21T07:51:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sRecycled_Alpaca"
More Information needed | [
"# Dataset Card for \"sRecycled_Alpaca\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sRecycled_Alpaca\"\n\nMore Information needed"
] | [
6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"sRecycled_Alpaca\"\n\nMore Information needed"
] |
60213f07a00c7792f995fdf70257953028936394 | # Dataset Card for "sRecycled_Wiz70"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | umd-zhou-lab/sRecycled_Wiz70 | [
"region:us"
] | 2023-12-21T07:47:28+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "input", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 114566878, "num_examples": 46550}], "download_size": 59147879, "dataset_size": 114566878}} | 2023-12-21T07:52:12+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sRecycled_Wiz70"
More Information needed | [
"# Dataset Card for \"sRecycled_Wiz70\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sRecycled_Wiz70\"\n\nMore Information needed"
] | [
6,
18
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"passage: TAGS\n#region-us \n# Dataset Card for \"sRecycled_Wiz70\"\n\nMore Information needed"
] |
0680166934d6c3e7246a597ad1f7f42d1de087cc |
# DiaVio Dataset
## Overview
Simulation testing has been widely adopted by leading companies to ensure the safety of autonomous driving systems (ADSs). A number of scenario-based testing approaches have been developed to generate diverse driving scenarios for simulation testing, and demonstrated to be capable of fin... | DiaVio/ViolationReports | [
"license:gpl-3.0",
"region:us"
] | 2023-12-21T08:04:24+00:00 | {"license": "gpl-3.0"} | 2023-12-21T12:53:58+00:00 | [] | [] | TAGS
#license-gpl-3.0 #region-us
|
# DiaVio Dataset
## Overview
Simulation testing has been widely adopted by leading companies to ensure the safety of autonomous driving systems (ADSs). A number of scenario-based testing approaches have been developed to generate diverse driving scenarios for simulation testing, and demonstrated to be capable of fin... | [
"# DiaVio Dataset",
"## Overview\n\nSimulation testing has been widely adopted by leading companies to ensure the safety of autonomous driving systems (ADSs). A number of scenario-based testing approaches have been developed to generate diverse driving scenarios for simulation testing, and demonstrated to be capa... | [
"TAGS\n#license-gpl-3.0 #region-us \n",
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ab00114b0fbf59c7c539ff9158f6ce717d13ab63 | # BBQ
Repository for the Bias Benchmark for QA dataset.
https://github.com/nyu-mll/BBQ
Authors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, and Samuel R. Bowman.
*This repository is a fork of https://huggingface.co/datasets/heegyu/bbq, and adds the "All... | oskarvanderwal/bbq | [
"language:en",
"license:cc-by-4.0",
"social bias",
"region:us"
] | 2023-12-21T08:13:31+00:00 | {"language": ["en"], "license": "cc-by-4.0", "pretty_name": "BBQ", "tags": ["social bias"], "configs": [{"config_name": "All", "data_files": [{"split": "test", "path": "data/All.jsonl"}], "default": true}, {"config_name": "Age", "data_files": [{"split": "test", "path": "data/Age.jsonl"}]}, {"config_name": "Disability_s... | 2023-12-21T08:29:34+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #social bias #region-us
| # BBQ
Repository for the Bias Benchmark for QA dataset.
URL
Authors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, and Samuel R. Bowman.
*This repository is a fork of URL and adds the "All" configuration containing all subsets.*
## About BBQ (paper abstr... | [
"# BBQ\nRepository for the Bias Benchmark for QA dataset.\nURL \n\nAuthors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, and Samuel R. Bowman.\n\n*This repository is a fork of URL and adds the \"All\" configuration containing all subsets.*",
"## About... | [
"TAGS\n#language-English #license-cc-by-4.0 #social bias #region-us \n",
"# BBQ\nRepository for the Bias Benchmark for QA dataset.\nURL \n\nAuthors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, and Samuel R. Bowman.\n\n*This repository is a fork of UR... | [
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7b6e463a8340b2d20fc5f8c8f8bba20ccccd7242 | # tquad
Homepage: https://github.com/TQuad/turkish-nlp-qa-dataset
| mcemilg/tquad | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:tr",
"region:us"
] | 2023-12-21T08:17:29+00:00 | {"language": ["tr"], "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "pretty_name": "t"} | 2023-12-21T10:43:35+00:00 | [] | [
"tr"
] | TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-Turkish #region-us
| # tquad
Homepage: URL
| [
"# tquad\n\nHomepage: URL"
] | [
"TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-Turkish #region-us \n",
"# tquad\n\nHomepage: URL"
] | [
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"passage: TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-Turkish #region-us \n# tquad\n\nHomepage: URL"
] |
68f7700fd9850c499d95151752d4617214b986f4 | 1) squarelike/OpenOrca-gugugo-ko 데이터셋에서 gpt4 생성 분량만 추출하였습니다.
2) 번역 태스크를 제거하였습니다. 이때 단순히 "question"과 "response" 컬럼에 "번역" 이라는 단어가 존재하는 경우 해당 샘플을 제거하였습니다. 따라서 완벽히 제거되지 않았을 수 있습니다.
3) NearDeDup 알고리즘 적용
## To do
- [ ] ICL 기반, 번역 태스크 Classification 및 번역 샘플 2차 필터링
Original Dataset : [squarelike/OpenOrca-gugugo-ko](https:... | jhflow/orca-gugugo-ko-dedup | [
"region:us"
] | 2023-12-21T08:23:56+00:00 | {} | 2023-12-21T08:43:53+00:00 | [] | [] | TAGS
#region-us
| 1) squarelike/OpenOrca-gugugo-ko 데이터셋에서 gpt4 생성 분량만 추출하였습니다.
2) 번역 태스크를 제거하였습니다. 이때 단순히 "question"과 "response" 컬럼에 "번역" 이라는 단어가 존재하는 경우 해당 샘플을 제거하였습니다. 따라서 완벽히 제거되지 않았을 수 있습니다.
3) NearDeDup 알고리즘 적용
## To do
- [ ] ICL 기반, 번역 태스크 Classification 및 번역 샘플 2차 필터링
Original Dataset : squarelike/OpenOrca-gugugo-ko | [
"## To do\n- [ ] ICL 기반, 번역 태스크 Classification 및 번역 샘플 2차 필터링 \n\n\nOriginal Dataset : squarelike/OpenOrca-gugugo-ko"
] | [
"TAGS\n#region-us \n",
"## To do\n- [ ] ICL 기반, 번역 태스크 Classification 및 번역 샘플 2차 필터링 \n\n\nOriginal Dataset : squarelike/OpenOrca-gugugo-ko"
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"passage: TAGS\n#region-us \n## To do\n- [ ] ICL 기반, 번역 태스크 Classification 및 번역 샘플 2차 필터링 \n\n\nOriginal Dataset : squarelike/OpenOrca-gugugo-ko"
] |
3ca985663e7c8ef52aba8e20b06c1d6e562554d9 | # Special Thanks
Special thanks to Lamkanfi, Ahmed; Pérez, Javier; and Demeyer, Serge for their contributions. Please cite their paper, as this dataset is the processed part of their dataset.
## Citation
```bibtex
@INPROCEEDINGS{6624028,
author={Lamkanfi, Ahmed and Pérez, Javier and Demeyer, Serge},
booktitle={2... | AliArshad/Bugzilla_Eclipse_Bug_Reports_Dataset | [
"region:us"
] | 2023-12-21T09:01:58+00:00 | {} | 2023-12-21T09:16:16+00:00 | [] | [] | TAGS
#region-us
| # Special Thanks
Special thanks to Lamkanfi, Ahmed; Pérez, Javier; and Demeyer, Serge for their contributions. Please cite their paper, as this dataset is the processed part of their dataset.
'''bibtex
@INPROCEEDINGS{6624028,
author={Lamkanfi, Ahmed and Pérez, Javier and Demeyer, Serge},
booktitle={2013 10th Work... | [
"# Special Thanks\n\nSpecial thanks to Lamkanfi, Ahmed; Pérez, Javier; and Demeyer, Serge for their contributions. Please cite their paper, as this dataset is the processed part of their dataset.\n\n'''bibtex\n@INPROCEEDINGS{6624028,\n author={Lamkanfi, Ahmed and Pérez, Javier and Demeyer, Serge},\n booktitle={20... | [
"TAGS\n#region-us \n",
"# Special Thanks\n\nSpecial thanks to Lamkanfi, Ahmed; Pérez, Javier; and Demeyer, Serge for their contributions. Please cite their paper, as this dataset is the processed part of their dataset.\n\n'''bibtex\n@INPROCEEDINGS{6624028,\n author={Lamkanfi, Ahmed and Pérez, Javier and Demeyer,... | [
6,
172
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"passage: TAGS\n#region-us \n# Special Thanks\n\nSpecial thanks to Lamkanfi, Ahmed; Pérez, Javier; and Demeyer, Serge for their contributions. Please cite their paper, as this dataset is the processed part of their dataset.\n\n'''bibtex\n@INPROCEEDINGS{6624028,\n author={Lamkanfi, Ahmed and Pérez, Javier and Demey... |
c19a1a07e332d74bbc521f6f15a887357b6eb149 |
# ChatHaruhi
# Reviving Anime Character in Reality via Large Language Model
**Chat-Haruhi-Suzumiya**is a language model that imitates the tone, personality and storylines of characters like Haruhi Suzumiya,
https://github.com/LC1332/Chat-Haruhi-Suzumiya
Using this to load character and chat with him/her
```pytho... | silk-road/ChatHaruhi-RolePlaying | [
"language:zh",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-12-21T09:34:19+00:00 | {"language": ["zh", "en"], "license": "apache-2.0"} | 2024-02-10T15:26:18+00:00 | [] | [
"zh",
"en"
] | TAGS
#language-Chinese #language-English #license-apache-2.0 #region-us
|
# ChatHaruhi
# Reviving Anime Character in Reality via Large Language Model
Chat-Haruhi-Suzumiyais a language model that imitates the tone, personality and storylines of characters like Haruhi Suzumiya,
URL
Using this to load character and chat with him/her
the role was saved at
URL
this hugging face repo s... | [
"# ChatHaruhi",
"# Reviving Anime Character in Reality via Large Language Model\n\n\nChat-Haruhi-Suzumiyais a language model that imitates the tone, personality and storylines of characters like Haruhi Suzumiya,\n\nURL\n\nUsing this to load character and chat with him/her\n\n\n\nthe role was saved at \n\nURL\n\nt... | [
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ac2a8dfdbbeca2fb73d82851328554a359ffd781 | # Videos Generated from FETV Prompts
This repo contains videos generated by [CogVideo](https://github.com/THUDM/CogVideo/), [Text2Video-Zero](https://github.com/Picsart-AI-Research/Text2Video-Zero), [ModelScopeT2V](https://modelscope.cn/models/damo/text-to-video-synthesis/summary) and [ZeroScope](https://huggingface.co... | lyx97/FETV_gen_videos | [
"license:cc-by-4.0",
"region:us"
] | 2023-12-21T09:51:19+00:00 | {"license": "cc-by-4.0"} | 2023-12-22T02:28:51+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| # Videos Generated from FETV Prompts
This repo contains videos generated by CogVideo, Text2Video-Zero, ModelScopeT2V and ZeroScope, based on the FETV prompts. | [
"# Videos Generated from FETV Prompts\nThis repo contains videos generated by CogVideo, Text2Video-Zero, ModelScopeT2V and ZeroScope, based on the FETV prompts."
] | [
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] |
1e39b273f483eae595b2fd318dcf56df59b1b0ab | ## Kazakh Paraphrasing Dataset
This dataset is specifically designed for the paraphrasing task in the Kazakh language. It offers a unique resource for natural language processing applications, focusing on the development and evaluation of paraphrasing models.
### Source and Translation Process
Originally sourced fro... | CCRss/chatgpt-paraphrases-kz | [
"task_categories:text2text-generation",
"size_categories:1M<n<10M",
"language:kk",
"license:mit",
"region:us"
] | 2023-12-21T10:14:02+00:00 | {"language": ["kk"], "license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["text2text-generation"]} | 2023-12-21T16:33:18+00:00 | [] | [
"kk"
] | TAGS
#task_categories-text2text-generation #size_categories-1M<n<10M #language-Kazakh #license-mit #region-us
| ## Kazakh Paraphrasing Dataset
This dataset is specifically designed for the paraphrasing task in the Kazakh language. It offers a unique resource for natural language processing applications, focusing on the development and evaluation of paraphrasing models.
### Source and Translation Process
Originally sourced fro... | [
"## Kazakh Paraphrasing Dataset\n\nThis dataset is specifically designed for the paraphrasing task in the Kazakh language. It offers a unique resource for natural language processing applications, focusing on the development and evaluation of paraphrasing models.",
"### Source and Translation Process\n\nOriginall... | [
"TAGS\n#task_categories-text2text-generation #size_categories-1M<n<10M #language-Kazakh #license-mit #region-us \n",
"## Kazakh Paraphrasing Dataset\n\nThis dataset is specifically designed for the paraphrasing task in the Kazakh language. It offers a unique resource for natural language processing applications, ... | [
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a6fd1dd395ffd30a66e295ce83930c6f675c8a0c | # Annotation Techniques Sample Database
Explore SoftAge's diverse annotation techniques through this showcase database, featuring annotated audio, and video data annotation.
The dataset contains 54 queries from 54 different tools/software. It serves as a versatile resource for building tool-specific Assistant LLMs, ... | Softage-AI/Action_Recording_sample1 | [
"task_categories:summarization",
"size_categories:n<1K",
"language:en",
"data_annotation",
"data",
"AI",
"training",
"audio and video data annotation",
"region:us"
] | 2023-12-21T10:16:00+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["summarization"], "tags": ["data_annotation", "data", "AI", "training", "audio and video data annotation"]} | 2023-12-22T03:59:47+00:00 | [] | [
"en"
] | TAGS
#task_categories-summarization #size_categories-n<1K #language-English #data_annotation #data #AI #training #audio and video data annotation #region-us
| # Annotation Techniques Sample Database
Explore SoftAge's diverse annotation techniques through this showcase database, featuring annotated audio, and video data annotation.
The dataset contains 54 queries from 54 different tools/software. It serves as a versatile resource for building tool-specific Assistant LLMs, ... | [
"# Annotation Techniques Sample Database\n\nExplore SoftAge's diverse annotation techniques through this showcase database, featuring annotated audio, and video data annotation. \n\nThe dataset contains 54 queries from 54 different tools/software. It serves as a versatile resource for building tool-specific Assista... | [
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36007dc535806c4022c9981e9bfb7695cb178e9a | Custom Colorbox Dataset | nirbhayfaaya/ColorboxDataset | [
"region:us"
] | 2023-12-21T10:16:56+00:00 | {} | 2023-12-27T09:27:07+00:00 | [] | [] | TAGS
#region-us
| Custom Colorbox Dataset | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
988c2d8537e225357b92c0efbbbb319b374e4a81 | The Files names are the actual labels. | Hassam-Nazir/Companies_Logo | [
"size_categories:1K<n<10K",
"art",
"region:us"
] | 2023-12-21T10:31:07+00:00 | {"size_categories": ["1K<n<10K"], "pretty_name": "Logo", "tags": ["art"]} | 2023-12-21T15:08:15+00:00 | [] | [] | TAGS
#size_categories-1K<n<10K #art #region-us
| The Files names are the actual labels. | [] | [
"TAGS\n#size_categories-1K<n<10K #art #region-us \n"
] | [
20
] | [
"passage: TAGS\n#size_categories-1K<n<10K #art #region-us \n"
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df304df582d09ae01a58b00adcf51e86a9b21b91 | <p>Hearing problems are rampant across people of all ages. Some experts claim escalation in pollutants and nutrient deficiency are the leading cause of auditory problems. However, new research suggests that a particular dormant virus in the human body is the culprit behind most hearing issues.</p>
<p>Varicella-zoster i... | sonuvitaofficial/sonuvita-review | [
"region:us"
] | 2023-12-21T10:38:04+00:00 | {} | 2023-12-21T10:38:16+00:00 | [] | [] | TAGS
#region-us
| <p>Hearing problems are rampant across people of all ages. Some experts claim escalation in pollutants and nutrient deficiency are the leading cause of auditory problems. However, new research suggests that a particular dormant virus in the human body is the culprit behind most hearing issues.</p>
<p>Varicella-zoster i... | [] | [
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] | [
6
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46e2c30169a5f49ef1479140476afcf0d2a589b0 | # MedFAQ-llama2-2k
2k QA entries on medical topics
| kazcfz/MedFAQ-llama2-2k | [
"region:us"
] | 2023-12-21T11:26:44+00:00 | {} | 2024-01-10T14:38:12+00:00 | [] | [] | TAGS
#region-us
| # MedFAQ-llama2-2k
2k QA entries on medical topics
| [
"# MedFAQ-llama2-2k\n2k QA entries on medical topics"
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51cd27f96dd9596514b074a4051e4ee5076df821 | # Dataset Card for Dataset _tla-Earlier_Egyptian_original-v18-premium_
<!-- Provide a quick summary of the dataset. -->
This data set contains Earlier Egyptian, i.e., ancient Old Egyptian and ancient Middle Egyptian, sentences in `hieroglyphs` and `transliteration`, with `lemmatization`, with POS `glossing` and with a... | thesaurus-linguae-aegyptiae/tla-Earlier_Egyptian_original-v18-premium | [
"task_categories:translation",
"task_categories:token-classification",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"language:egy",
"language:de",
"license:cc-by-sa-4.0",
"region:us"
] | 2023-12-21T11:31:40+00:00 | {"annotations_creators": ["expert-generated"], "language": ["egy", "de"], "license": "cc-by-sa-4.0", "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "task_categories": ["translation", "token-classification"], "pretty_name": "Thesaurus Linguae Aegyptiae, Original Earlier Egyptian sentences, corpu... | 2024-02-16T20:54:36+00:00 | [] | [
"egy",
"de"
] | TAGS
#task_categories-translation #task_categories-token-classification #annotations_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #language-Egyptian (Ancient) #language-German #license-cc-by-sa-4.0 #region-us
| # Dataset Card for Dataset _tla-Earlier_Egyptian_original-v18-premium_
This data set contains Earlier Egyptian, i.e., ancient Old Egyptian and ancient Middle Egyptian, sentences in 'hieroglyphs' and 'transliteration', with 'lemmatization', with POS 'glossing' and with a German 'translation'.
This set of _original_ E... | [
"# Dataset Card for Dataset _tla-Earlier_Egyptian_original-v18-premium_\n\n\nThis data set contains Earlier Egyptian, i.e., ancient Old Egyptian and ancient Middle Egyptian, sentences in 'hieroglyphs' and 'transliteration', with 'lemmatization', with POS 'glossing' and with a German 'translation'. \nThis set of _or... | [
"TAGS\n#task_categories-translation #task_categories-token-classification #annotations_creators-expert-generated #multilinguality-multilingual #size_categories-10K<n<100K #language-Egyptian (Ancient) #language-German #license-cc-by-sa-4.0 #region-us \n",
"# Dataset Card for Dataset _tla-Earlier_Egyptian_original-... | [
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95eb358969c07270821c7fdc73201d7375afb309 |
# MKGE: Multilingual Knowledge Graph Enhancement
*note* this dataset card was copied from this [GitHub Repository](https://github.com/apple/ml-kge/blob/main/README.md)
[**Task Description**](#task-description) |
[**WikiKGE-10**](#wikikge-10) |
[**Evaluation**](#evaluation) |
[**Paper**](https://arxiv.org/abs/2311.1... | davanstrien/ml-kge | [
"size_categories:n<1K",
"language:en",
"language:ar",
"language:de",
"language:es",
"language:fr",
"language:it",
"language:ja",
"language:ko",
"language:ru",
"language:zh",
"license:cc-by-sa-4.0",
"knowledge-graphs",
"arxiv:2311.15781",
"region:us"
] | 2023-12-21T12:06:12+00:00 | {"language": ["en", "ar", "de", "es", "fr", "it", "ja", "ko", "ru", "zh"], "license": "cc-by-sa-4.0", "size_categories": ["n<1K"], "pretty_name": "MKGE: Multilingual Knowledge Graph Enhancement", "configs": [{"config_name": "gold", "data_files": "data/names/gold/*.json"}, {"config_name": "m-nta-with_gpt-3.5", "data_fil... | 2023-12-21T12:24:14+00:00 | [
"2311.15781"
] | [
"en",
"ar",
"de",
"es",
"fr",
"it",
"ja",
"ko",
"ru",
"zh"
] | TAGS
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|
# MKGE: Multilingual Knowledge Graph Enhancement
*note* this dataset card was copied from this GitHub Repository
Task Description |
WikiKGE-10 |
Evaluation |
Paper |
Citation |
License
Recent work in Natural Language Processing and Computer Vision has been leveraging textual information -- e.g., entity names and d... | [
"# MKGE: Multilingual Knowledge Graph Enhancement\n\n*note* this dataset card was copied from this GitHub Repository\n\nTask Description |\nWikiKGE-10 |\nEvaluation |\nPaper |\nCitation |\nLicense\n\nRecent work in Natural Language Processing and Computer Vision has been leveraging textual information -- e.g., enti... | [
"TAGS\n#size_categories-n<1K #language-English #language-Arabic #language-German #language-Spanish #language-French #language-Italian #language-Japanese #language-Korean #language-Russian #language-Chinese #license-cc-by-sa-4.0 #knowledge-graphs #arxiv-2311.15781 #region-us \n",
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3d5fd88a8e65a7639de3840003408a0b5511cd29 |
## Description
Tik Tak Tok - Est. 2023
## Model
HotshotXL
## Voice
Julian
## Orientation
Portrait
# Tags
- Short
- Dancing
# Style
tiktok video, instagram, beautiful, sharp, detailed
# Music
mainstream pop music
## Prompt
A channel generating short vertical videos, between 20 seconds and 60 seconds
Mos... | jbilcke-hf/ai-tube-tik-tak-tok | [
"license:cc-by-nc-4.0",
"region:us"
] | 2023-12-21T12:10:46+00:00 | {"license": "cc-by-nc-4.0", "pretty_name": "Tik Tak Tok"} | 2023-12-22T14:55:42+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
## Description
Tik Tak Tok - Est. 2023
## Model
HotshotXL
## Voice
Julian
## Orientation
Portrait
# Tags
- Short
- Dancing
# Style
tiktok video, instagram, beautiful, sharp, detailed
# Music
mainstream pop music
## Prompt
A channel generating short vertical videos, between 20 seconds and 60 seconds
Mos... | [
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"## Model\n\nHotshotXL",
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"## Orientation\n\nPortrait",
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"# Style\n\ntiktok video, instagram, beautiful, sharp, detailed",
"# Music\n\nmainstream pop music",
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"# Style\n\ntiktok video, instagram, beautiful, sharp, detailed",
"# Music\n\nmainstream pop music",
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