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c453b9daa233dd7b265102dcdf145a29e142d4c3 | # Dataset Card for Lastfm-VADS
<!-- Provide a quick summary of the dataset. -->
This dataset contains Valence, Arousal, Dominance and Sentiment Ratio values for over 800K tracks, with their respective artist, album and ranked tags.
## Dataset Details
This dataset was curated to be used in a Bachelor Thesis, consist... | Acervans/Lastfm-VADS | [
"language:en",
"region:us"
] | 2024-01-27T15:47:40+00:00 | {"language": ["en"], "pretty_name": "Last.fm Valence, Arousal, Dominance & Sentiment Ratio Dataset"} | 2024-01-30T15:27:16+00:00 | [] | [
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#language-English #region-us
| # Dataset Card for Lastfm-VADS
This dataset contains Valence, Arousal, Dominance and Sentiment Ratio values for over 800K tracks, with their respective artist, album and ranked tags.
## Dataset Details
This dataset was curated to be used in a Bachelor Thesis, consisting in the integration of sentiment features int... | [
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15c023cdc831c1c4704347692a101585cbd74ef3 |
# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test](https://huggingface.co/Josephgflowers/Tinyllama-Cinder-1.3B-Reason... | open-llm-leaderboard/details_Josephgflowers__Tinyllama-Cinder-1.3B-Reason-Test | [
"region:us"
] | 2024-01-27T15:56:48+00:00 | {"pretty_name": "Evaluation run of Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test", "dataset_summary": "Dataset automatically created during the evaluation run of model [Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test](https://huggingface.co/Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test) on the [Open LLM Leaderbo... | 2024-01-27T15:57:08+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test
Dataset automatically created during the evaluation run of model Josephgflowers/Tinyllama-Cinder-1.3B-Reason-Test on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evalu... | [
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9f5feff0001bb5155d26b3afc98e3f45467c4290 |
# Dataset Card for Evaluation run of adamo1139/yi-34b-200k-rawrr-dpo-2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [adamo1139/yi-34b-200k-rawrr-dpo-2](https://huggingface.co/adamo1139/yi-34b-200k-rawrr-dpo-2) on the [Open LLM Leaderboard](https://... | open-llm-leaderboard/details_adamo1139__yi-34b-200k-rawrr-dpo-2 | [
"region:us"
] | 2024-01-27T15:58:52+00:00 | {"pretty_name": "Evaluation run of adamo1139/yi-34b-200k-rawrr-dpo-2", "dataset_summary": "Dataset automatically created during the evaluation run of model [adamo1139/yi-34b-200k-rawrr-dpo-2](https://huggingface.co/adamo1139/yi-34b-200k-rawrr-dpo-2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFac... | 2024-01-27T15:59:16+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of adamo1139/yi-34b-200k-rawrr-dpo-2
Dataset automatically created during the evaluation run of model adamo1139/yi-34b-200k-rawrr-dpo-2 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... | [
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ed6f56cc0e75bb9c399ccc255b96eadbe873057e |
# Dataset Card for Evaluation run of adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA](https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA) on the [... | open-llm-leaderboard/details_adamo1139__Yi-34B-200K-AEZAKMI-RAW-2301-LoRA | [
"region:us"
] | 2024-01-27T16:11:53+00:00 | {"pretty_name": "Evaluation run of adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA", "dataset_summary": "Dataset automatically created during the evaluation run of model [adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA](https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA) on the [Open LLM Leaderboard](https://hu... | 2024-01-27T16:12:16+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA
Dataset automatically created during the evaluation run of model adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
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12d4943f48513c9ec0b3f0d08778259ecf8519d4 |
# Dataset Card for Evaluation run of alnrg2arg/test3_sft_16bit
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [alnrg2arg/test3_sft_16bit](https://huggingface.co/alnrg2arg/test3_sft_16bit) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hu... | open-llm-leaderboard/details_alnrg2arg__test3_sft_16bit | [
"region:us"
] | 2024-01-27T16:23:13+00:00 | {"pretty_name": "Evaluation run of alnrg2arg/test3_sft_16bit", "dataset_summary": "Dataset automatically created during the evaluation run of model [alnrg2arg/test3_sft_16bit](https://huggingface.co/alnrg2arg/test3_sft_16bit) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard... | 2024-01-27T16:28:40+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of alnrg2arg/test3_sft_16bit
Dataset automatically created during the evaluation run of model alnrg2arg/test3_sft_16bit 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 from ... | [
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30c07c818017a0e24f9d99fee3b088ed62b3effb |
Kannada translation of [fka/awesome-chatgpt-prompts](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts) | Sharathhebbar24/awesome_chatgpt_prompts_kannada | [
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] | 2024-01-27T16:30:14+00:00 | {"language": ["en", "kn"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["translation", "question-answering", "text-generation"], "dataset_info": {"features": [{"name": "act", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "kannada_prompt", "dtype": "string"}], "splits":... | 2024-01-27T16:33:18+00:00 | [] | [
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e5fef40b3c54a16bcc221df90375f54c06a0f2dd | # Dataset Card for "summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706373136"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706373136 | [
"region:us"
] | 2024-01-27T16:33:21+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2024-01-27T16:33:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706373136"
More Information needed | [
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43b56c256b411fc0f1aa3d6fda77c804a0e23134 | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706373318 | [
"region:us"
] | 2024-01-27T16:36:24+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2024-01-27T16:36:43+00:00 | [] | [] | TAGS
#region-us
| # TL;DR SFT Dataset for OpenAI's Summarize from Feedback task
The dataset is directly taken from URL
These columns are taken directly from the aforementioned dataset:
* id: unique identifier for the post
* subreddit: subreddit the post was taken from
* title: title of the post
* post: body of the post
* summary: sum... | [
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0e353c57299f849be0dfbc70c81c7c217febf1ab | # Dataset Card for "vi-ar_top_cs_dev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | A-Bar/vi-ar_top_cs_dev | [
"region:us"
] | 2024-01-27T16:36:47+00:00 | {"dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "passage", "dtype": "string"}, {"name": "label", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 55656630, "num_examples": 100000}], "download_size": 19350377, "dataset_size": 55656630}, "configs": [{"config_name": "default", ... | 2024-01-27T18:34:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vi-ar_top_cs_dev"
More Information needed | [
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f34e72fb27567b380cbc8964cf763e61f7758f4d | # Dataset Card for "summarize_from_feedback_oai_preprocessing_1706373318"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_oai_preprocessing_1706373318 | [
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] | 2024-01-27T16:37:57+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2024-01-27T16:38:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_1706373318"
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0f3bf18f11919a3af5164e46feec18932bb430be |
# Dataset Card for Evaluation run of ycros/BagelMIsteryTour-v2-8x7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_ycros__BagelMIsteryTour-v2-8x7B | [
"region:us"
] | 2024-01-27T16:44:17+00:00 | {"pretty_name": "Evaluation run of ycros/BagelMIsteryTour-v2-8x7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2024-01-27T16:44:37+00:00 | [] | [] | TAGS
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|
# Dataset Card for Evaluation run of ycros/BagelMIsteryTour-v2-8x7B
Dataset automatically created during the evaluation run of model ycros/BagelMIsteryTour-v2-8x7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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# Dataset Card for Evaluation run of Josephgflowers/TinyLlama-Cinder-1.3B-Test.2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Josephgflowers/TinyLlama-Cinder-1.3B-Test.2](https://huggingface.co/Josephgflowers/TinyLlama-Cinder-1.3B-Test.2) on the [... | open-llm-leaderboard/details_Josephgflowers__TinyLlama-Cinder-1.3B-Test.2 | [
"region:us"
] | 2024-01-27T17:13:11+00:00 | {"pretty_name": "Evaluation run of Josephgflowers/TinyLlama-Cinder-1.3B-Test.2", "dataset_summary": "Dataset automatically created during the evaluation run of model [Josephgflowers/TinyLlama-Cinder-1.3B-Test.2](https://huggingface.co/Josephgflowers/TinyLlama-Cinder-1.3B-Test.2) on the [Open LLM Leaderboard](https://hu... | 2024-01-27T17:13:32+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Josephgflowers/TinyLlama-Cinder-1.3B-Test.2
Dataset automatically created during the evaluation run of model Josephgflowers/TinyLlama-Cinder-1.3B-Test.2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
"# Dataset Card for Evaluation run of Josephgflowers/TinyLlama-Cinder-1.3B-Test.2\n\n\n\nDataset automatically created during the evaluation run of model Josephgflowers/TinyLlama-Cinder-1.3B-Test.2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evalu... | [
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"# Dataset Card for Evaluation run of Josephgflowers/TinyLlama-Cinder-1.3B-Test.2\n\n\n\nDataset automatically created during the evaluation run of model Josephgflowers/TinyLlama-Cinder-1.3B-Test.2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one corespo... | [
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ff204a83a93b5103c44e85b97a80e690c9e2f2c1 |
# Bangumi Image Base of Mahou Shoujo Ni Akogarete
This is the image base of bangumi Mahou Shoujo ni Akogarete, we detected 14 characters, 715 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to ... | BangumiBase/mahoushoujoniakogarete | [
"size_categories:n<1K",
"license:mit",
"art",
"region:us"
] | 2024-01-27T17:18:10+00:00 | {"license": "mit", "size_categories": ["n<1K"], "tags": ["art"]} | 2024-01-27T17:52:25+00:00 | [] | [] | TAGS
#size_categories-n<1K #license-mit #art #region-us
| Bangumi Image Base of Mahou Shoujo Ni Akogarete
===============================================
This is the image base of bangumi Mahou Shoujo ni Akogarete, we detected 14 characters, 715 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be... | [] | [
"TAGS\n#size_categories-n<1K #license-mit #art #region-us \n"
] | [
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"passage: TAGS\n#size_categories-n<1K #license-mit #art #region-us \n"
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117ed310780665d6ccb5aa40a197013171c21a84 | # Dataset Card for "vi-ar_non_top_cs_dev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | A-Bar/vi-ar_non_top_cs_dev | [
"region:us"
] | 2024-01-27T17:37:34+00:00 | {"dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "passage", "dtype": "string"}, {"name": "label", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 44795482, "num_examples": 100000}], "download_size": 17805008, "dataset_size": 44795482}, "configs": [{"config_name": "default", ... | 2024-01-27T17:37:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vi-ar_non_top_cs_dev"
More Information needed | [
"# Dataset Card for \"vi-ar_non_top_cs_dev\"\n\nMore Information needed"
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e6744869864c7fcb942e8bf0d1fbf58109d8d297 |
# Dataset Card for Evaluation run of namirocks/mistral-shishya-all-hal-7b-ep3-v2
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [namirocks/mistral-shishya-all-hal-7b-ep3-v2](https://huggingface.co/namirocks/mistral-shishya-all-hal-7b-ep3-v2) on the [... | open-llm-leaderboard/details_namirocks__mistral-shishya-all-hal-7b-ep3-v2 | [
"region:us"
] | 2024-01-27T17:42:24+00:00 | {"pretty_name": "Evaluation run of namirocks/mistral-shishya-all-hal-7b-ep3-v2", "dataset_summary": "Dataset automatically created during the evaluation run of model [namirocks/mistral-shishya-all-hal-7b-ep3-v2](https://huggingface.co/namirocks/mistral-shishya-all-hal-7b-ep3-v2) on the [Open LLM Leaderboard](https://hu... | 2024-01-27T17:42:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of namirocks/mistral-shishya-all-hal-7b-ep3-v2
Dataset automatically created during the evaluation run of model namirocks/mistral-shishya-all-hal-7b-ep3-v2 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
"# Dataset Card for Evaluation run of namirocks/mistral-shishya-all-hal-7b-ep3-v2\n\n\n\nDataset automatically created during the evaluation run of model namirocks/mistral-shishya-all-hal-7b-ep3-v2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evalu... | [
"TAGS\n#region-us \n",
"# Dataset Card for Evaluation run of namirocks/mistral-shishya-all-hal-7b-ep3-v2\n\n\n\nDataset automatically created during the evaluation run of model namirocks/mistral-shishya-all-hal-7b-ep3-v2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one corespo... | [
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c79d26f3b2962031f3168cc0f33b29bcb910f0e1 |
# Dataset of Utena Hiiragi (Mahou Shoujo ni Akogarete)
This is the dataset of Utena Hiiragi (Mahou Shoujo ni Akogarete), containing 243 images and their tags.
The core tags of this character are `short_hair, purple_hair, ahoge, yellow_eyes, black_hair, bangs`, which are pruned in this dataset.
Images are crawled fr... | CyberHarem/utena_hiiragi_mahoushoujoniakogarete | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-27T17:58:57+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-27T18:15:18+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Utena Hiiragi (Mahou Shoujo ni Akogarete)
====================================================
This is the dataset of Utena Hiiragi (Mahou Shoujo ni Akogarete), containing 243 images and their tags.
The core tags of this character are 'short\_hair, purple\_hair, ahoge, yellow\_eyes, black\_hair, bangs', ... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
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a8a86850cbdf1153598e19fb820a419044dd47e3 |
The dataset is presented in the paper "GroundHog: Dialogue Generation using Multi-Grained Linguistic Input"
**NOTE** Some dialogues may have the same beginning. This is due to the fact that in our case, the dialogue is a replica chain, which is built according to the replica tree in the source data.
The dataset is u... | alexchern5757/groundhog_reddit | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | 2024-01-27T17:59:42+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["conversational", "text-generation"]} | 2024-01-27T18:07:48+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-mit #region-us
|
The dataset is presented in the paper "GroundHog: Dialogue Generation using Multi-Grained Linguistic Input"
NOTE Some dialogues may have the same beginning. This is due to the fact that in our case, the dialogue is a replica chain, which is built according to the replica tree in the source data.
The dataset is uploa... | [] | [
"TAGS\n#task_categories-conversational #task_categories-text-generation #size_categories-10K<n<100K #language-English #license-mit #region-us \n"
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48
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8d03b8f36526c609d33bd46722f3248d7347b07a | # Dataset Card for "ar-vi_top_cs_dev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | A-Bar/ar-vi_top_cs_dev | [
"region:us"
] | 2024-01-27T18:04:57+00:00 | {"dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "passage", "dtype": "string"}, {"name": "label", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 46383629, "num_examples": 100000}], "download_size": 0, "dataset_size": 46383629}, "configs": [{"config_name": "default", "data_f... | 2024-01-27T18:17:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ar-vi_top_cs_dev"
More Information needed | [
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32e343ee22dbf28a74534d95ff9ae6ddb11c5308 | # Dataset Card for "ar-vi_non_top_cs_dev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | A-Bar/ar-vi_non_top_cs_dev | [
"region:us"
] | 2024-01-27T18:11:36+00:00 | {"dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "passage", "dtype": "string"}, {"name": "label", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 40382015, "num_examples": 100000}], "download_size": 16672829, "dataset_size": 40382015}, "configs": [{"config_name": "default", ... | 2024-01-27T18:11:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ar-vi_non_top_cs_dev"
More Information needed | [
"# Dataset Card for \"ar-vi_non_top_cs_dev\"\n\nMore Information needed"
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199aa8a7003474758634aedb3f7ba9d9fd8a0905 |
# Dataset of Kiwi Araga (Mahou Shoujo ni Akogarete)
This is the dataset of Kiwi Araga (Mahou Shoujo ni Akogarete), containing 79 images and their tags.
The core tags of this character are `bangs, mole_under_eye, purple_eyes, mole, green_hair, ahoge, grey_hair, long_hair`, which are pruned in this dataset.
Images ar... | CyberHarem/kiwi_araga_mahoushoujoniakogarete | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-27T18:15:29+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-27T18:20:00+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Kiwi Araga (Mahou Shoujo ni Akogarete)
=================================================
This is the dataset of Kiwi Araga (Mahou Shoujo ni Akogarete), containing 79 images and their tags.
The core tags of this character are 'bangs, mole\_under\_eye, purple\_eyes, mole, green\_hair, ahoge, grey\_hair, lo... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
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03b774161a97747eb67cc2f504a55217a7437fd2 |
# Dataset of Sayo Minakami (Mahou Shoujo ni Akogarete)
This is the dataset of Sayo Minakami (Mahou Shoujo ni Akogarete), containing 79 images and their tags.
The core tags of this character are `green_hair, long_hair, breasts, red_eyes, bow, hair_bow`, which are pruned in this dataset.
Images are crawled from many ... | CyberHarem/sayo_minakami_mahoushoujoniakogarete | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-27T18:20:12+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-27T18:24:21+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Sayo Minakami (Mahou Shoujo ni Akogarete)
====================================================
This is the dataset of Sayo Minakami (Mahou Shoujo ni Akogarete), containing 79 images and their tags.
The core tags of this character are 'green\_hair, long\_hair, breasts, red\_eyes, bow, hair\_bow', which ar... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
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34aa8b25da73a2ae2ef35ef2b4521fe9ead49546 |
# Dataset of Haruka Hanabishi (Mahou Shoujo ni Akogarete)
This is the dataset of Haruka Hanabishi (Mahou Shoujo ni Akogarete), containing 112 images and their tags.
The core tags of this character are `pink_hair, twintails, drill_hair, green_eyes, bow, breasts, twin_drills`, which are pruned in this dataset.
Images... | CyberHarem/haruka_hanabishi_mahoushoujoniakogarete | [
"task_categories:text-to-image",
"size_categories:n<1K",
"license:mit",
"art",
"not-for-all-audiences",
"region:us"
] | 2024-01-27T18:24:33+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-27T18:30:13+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Haruka Hanabishi (Mahou Shoujo ni Akogarete)
=======================================================
This is the dataset of Haruka Hanabishi (Mahou Shoujo ni Akogarete), containing 112 images and their tags.
The core tags of this character are 'pink\_hair, twintails, drill\_hair, green\_eyes, bow, breast... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
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22a9e2c5df86512d59db83363ff6ad9606d55d0d |
# Dataset Card for Evaluation run of DreadPoor/WestuccineBagel-7B-slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [DreadPoor/WestuccineBagel-7B-slerp](https://huggingface.co/DreadPoor/WestuccineBagel-7B-slerp) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_DreadPoor__WestuccineBagel-7B-slerp | [
"region:us"
] | 2024-01-27T18:25:53+00:00 | {"pretty_name": "Evaluation run of DreadPoor/WestuccineBagel-7B-slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [DreadPoor/WestuccineBagel-7B-slerp](https://huggingface.co/DreadPoor/WestuccineBagel-7B-slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2024-01-27T18:26:15+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of DreadPoor/WestuccineBagel-7B-slerp
Dataset automatically created during the evaluation run of model DreadPoor/WestuccineBagel-7B-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 ... | [
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bcb16b44035a9548a47d3ab003447bdcea006747 |
# Dataset of Kaoruko Tenkawa (Mahou Shoujo ni Akogarete)
This is the dataset of Kaoruko Tenkawa (Mahou Shoujo ni Akogarete), containing 100 images and their tags.
The core tags of this character are `blonde_hair, long_hair, bow, blue_eyes, bangs, hair_bow, blunt_bangs, yellow_bow`, which are pruned in this dataset.
... | CyberHarem/kaoruko_tenkawa_mahoushoujoniakogarete | [
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"not-for-all-audiences",
"region:us"
] | 2024-01-27T18:30:21+00:00 | {"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]} | 2024-01-27T18:35:38+00:00 | [] | [] | TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us
| Dataset of Kaoruko Tenkawa (Mahou Shoujo ni Akogarete)
======================================================
This is the dataset of Kaoruko Tenkawa (Mahou Shoujo ni Akogarete), containing 100 images and their tags.
The core tags of this character are 'blonde\_hair, long\_hair, bow, blue\_eyes, bangs, hair\_bow, bl... | [
"### Load Raw Dataset with Waifuc\n\n\nWe provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code\n\n\nList of Clusters\n----------------\n\n\nList of tag clustering result, maybe some outfits can be mined here.",
"### Raw Text Version",
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d6561dee0089cb7eed187677bcb7af30fa8590e9 | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706381144 | [
"region:us"
] | 2024-01-27T18:46:50+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "summary", "dtype": "string"}, {"name": "query_token", "sequence": "int64"}, {"name": "query", "dtype": "string"}, {"name": "ref... | 2024-01-27T18:47:11+00:00 | [] | [] | TAGS
#region-us
| # TL;DR SFT Dataset for OpenAI's Summarize from Feedback task
The dataset is directly taken from URL
These columns are taken directly from the aforementioned dataset:
* id: unique identifier for the post
* subreddit: subreddit the post was taken from
* title: title of the post
* post: body of the post
* summary: sum... | [
"# TL;DR SFT Dataset for OpenAI's Summarize from Feedback task\n\nThe dataset is directly taken from URL\n\nThese columns are taken directly from the aforementioned dataset:\n\n* id: unique identifier for the post\n* subreddit: subreddit the post was taken from\n* title: title of the post\n* post: body of the post\... | [
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fd7e754a4395188c88847f799760c6d156cdf881 |
# The Synthetic Description from Prompts Dataset
This dataset is created using the Phi 2 3B Q4_K_S quantized model, using 1k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on Lexica.art. This dataset is designed to explore the capabilities of language mod... | gokaygokay/prompt_description_stable_diffusion_1k | [
"region:us"
] | 2024-01-27T18:48:01+00:00 | {"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}, {"name": "descriptions", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1510984, "num_examples": 1000}], "download_size": 722155, "dataset_size": 1510984}, "configs": [{"config_name": "default", "... | 2024-01-28T09:55:16+00:00 | [] | [] | TAGS
#region-us
|
# The Synthetic Description from Prompts Dataset
This dataset is created using the Phi 2 3B Q4_K_S quantized model, using 1k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on URL. This dataset is designed to explore the capabilities of language models in ... | [
"# The Synthetic Description from Prompts Dataset\n\n\nThis dataset is created using the Phi 2 3B Q4_K_S quantized model, using 1k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on URL. This dataset is designed to explore the capabilities of language mod... | [
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ccb2fb51cfc7c73ecce9c1ff98977f0ec66b633f | # Dataset Card for "summarize_from_feedback_oai_preprocessing_1706381144"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | vwxyzjn/summarize_from_feedback_oai_preprocessing_1706381144 | [
"region:us"
] | 2024-01-27T18:48:27+00:00 | {"dataset_info": {"features": [{"name": "info", "struct": [{"name": "id", "dtype": "string"}, {"name": "post", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "site", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, {"name": "summaries", "list": ... | 2024-01-27T18:49:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summarize_from_feedback_oai_preprocessing_1706381144"
More Information needed | [
"# Dataset Card for \"summarize_from_feedback_oai_preprocessing_1706381144\"\n\nMore Information needed"
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2768890ce2e055504ca68bb84c4a400ce40c9f76 |
Some results from ImageDream for Easy Comparison
| Peng-Wang/ImageDream | [
"license:apache-2.0",
"region:us"
] | 2024-01-27T19:02:11+00:00 | {"license": "apache-2.0"} | 2024-01-27T19:25:31+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Some results from ImageDream for Easy Comparison
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b8e194c647f56aada7ebedd8871284b3d06354b1 |
<!-- Provide a quick summary of the dataset. -->
This data set contains VAERS `SYMPTOM_TEXT` records paired with a list of potential outcomes.
### Source Data
Data originates from [VAERS](https://vaers.hhs.gov). The code including the transformations that generated this dataset is [here](https://github.com/chrisvo... | chrisvoncsefalvay/vaers-outcomes | [
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] | 2024-01-27T19:46:27+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["text-classification"], "pretty_name": "VAERS outcomes", "dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "No ... | 2024-01-28T16:22:45+00:00 | [] | [
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#task_categories-text-classification #size_categories-1M<n<10M #language-English #license-apache-2.0 #medical #doi-10.57967/hf/1706 #region-us
|
This data set contains VAERS 'SYMPTOM_TEXT' records paired with a list of potential outcomes.
### Source Data
Data originates from VAERS. The code including the transformations that generated this dataset is here.
### Encoding
The 'label' column now comrpises a single powerset-encoded class. | [
"### Source Data\n\nData originates from VAERS. The code including the transformations that generated this dataset is here.",
"### Encoding\n\nThe 'label' column now comrpises a single powerset-encoded class."
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5c10f44d8287949a21488519a384bca25bef715b |
# Dataset Card for Evaluation run of venkycs/ZySec-1B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [venkycs/ZySec-1B](https://huggingface.co/venkycs/ZySec-1B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leader... | open-llm-leaderboard/details_venkycs__ZySec-1B | [
"region:us"
] | 2024-01-27T19:59:50+00:00 | {"pretty_name": "Evaluation run of venkycs/ZySec-1B", "dataset_summary": "Dataset automatically created during the evaluation run of model [venkycs/ZySec-1B](https://huggingface.co/venkycs/ZySec-1B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is compos... | 2024-01-27T20:00:12+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of venkycs/ZySec-1B
Dataset automatically created during the evaluation run of model venkycs/ZySec-1B 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 from 1 run(s). Each run... | [
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37212a85bc8b439628cd6a17b62db4f77a31ffbf |
(WIP)
Currently this dataset is WIP - there seem to be some translation tasks in the dataset that may not be completly accurate.
In the next days, they will be filtered out. To do so manually, just look for "übersetz" in the columns "input", "chosen" or "rejected"
and exclude them from your training pipeline.
# ULTR... | aari1995/ultradistil-intel-orca-dpo-de | [
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"license:apache-2.0",
"rlaif",
"dpo",
"rlhf",
"distilabel",
"mt",
"german",
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] | 2024-01-27T20:17:45+00:00 | {"language": ["de"], "license": "apache-2.0", "tags": ["rlaif", "dpo", "rlhf", "distilabel", "mt", "german"]} | 2024-01-29T08:56:39+00:00 | [] | [
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|
(WIP)
Currently this dataset is WIP - there seem to be some translation tasks in the dataset that may not be completly accurate.
In the next days, they will be filtered out. To do so manually, just look for "übersetz" in the columns "input", "chosen" or "rejected"
and exclude them from your training pipeline.
# ULTR... | [
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1938e5843dcce1721f87ed6872308d9f1a5f09f5 |
# 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).
## ... | JosephFeig/Assignment_1B_Task_5 | [
"region:us"
] | 2024-01-27T20:41:38+00:00 | {} | 2024-01-28T20:26:30+00:00 | [] | [] | TAGS
#region-us
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# 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.
## Dataset Details
### Dataset Description
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b4ecc1c288545e9a13602e8c10569679ddafc80f | # Dataset Card for Housing_data
<!-- Provide a quick summary of the dataset. -->
This dataset has information about the housing market in California. The data has been split into test and train sets, missing values have been imputed using the median and numerical values have been normalized.
### Dataset Description
... | TaherMAfini/housing_data | [
"size_categories:10K<n<100K",
"region:us"
] | 2024-01-27T20:45:52+00:00 | {"size_categories": ["10K<n<100K"], "pretty_name": "Housing Data", "dataset_info": {"features": [{"name": "bedrooms__ratio", "dtype": "float64"}, {"name": "rooms_per_house__ratio", "dtype": "float64"}, {"name": "people_per_house__ratio", "dtype": "float64"}, {"name": "log__total_bedrooms", "dtype": "float64"}, {"name":... | 2024-01-27T20:58:10+00:00 | [] | [] | TAGS
#size_categories-10K<n<100K #region-us
| # Dataset Card for Housing_data
This dataset has information about the housing market in California. The data has been split into test and train sets, missing values have been imputed using the median and numerical values have been normalized.
### Dataset Description
- Curated by:
- Funded by [optional]:
- S... | [
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4dc0165d07b6dbf2d6c011a35ade071ac5ae0dc4 |
# X-AlpacaEval
[**🤗 Paper**](https://huggingface.co/papers/2311.08711) | [**📖 arXiv**](https://arxiv.org/abs/2311.08711)
### Dataset Description
X-AlpacaEval is an evaluation benchmark for multilingual instruction-tuned large language models (LLMs), including open-ended instructions in 5 languages (English, Chine... | zhihz0535/X-AlpacaEval | [
"task_categories:text-generation",
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"language:zh",
"language:ko",
"language:it",
"language:es",
"license:cc-by-nc-4.0",
"arxiv:2311.08711",
"region:us"
] | 2024-01-27T20:48:46+00:00 | {"language": ["en", "zh", "ko", "it", "es"], "license": "cc-by-nc-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-generation", "conversational"], "configs": [{"config_name": "default", "data_files": [{"split": "english", "path": "english.json"}, {"split": "chinese", "path": "chinese.json"}, {"split": "... | 2024-01-27T21:18:19+00:00 | [
"2311.08711"
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"ko",
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|
# X-AlpacaEval
Paper | arXiv
### Dataset Description
X-AlpacaEval is an evaluation benchmark for multilingual instruction-tuned large language models (LLMs), including open-ended instructions in 5 languages (English, Chinese, Korean, Italian and Spanish).
It is described in the paper PLUG: Leveraging Pivot Langua... | [
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bbd2dd1cbe6ff1d4fbd87c9fde4a31b5b7def288 | # Dataset Card for RAG Benchmark (Finance): Apple 10K 2022
This dataset contains prompts and responses to evaluate RAG applications for hallucinations and accuracy.
The dataset was created using Lighthouz AutoBench, an automated benchmark generator for LLM use cases, and manually verified via human annotation.
## D... | lighthouzai/rag-benchmark-finance-apple-10K-2022 | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"region:us"
] | 2024-01-27T21:08:37+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["question-answering"], "dataset_info": [{"config_name": "1.0.0", "features": [{"name": "query", "dtype": "string"}, {"name": "expected_response", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "category"... | 2024-02-17T08:44:13+00:00 | [] | [
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] | TAGS
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| # Dataset Card for RAG Benchmark (Finance): Apple 10K 2022
This dataset contains prompts and responses to evaluate RAG applications for hallucinations and accuracy.
The dataset was created using Lighthouz AutoBench, an automated benchmark generator for LLM use cases, and manually verified via human annotation.
## D... | [
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3beae92b267ba57bef69e376eea80b77de3a1f62 | # Dataset Card for "VNTL-v2.5-1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lmg-anon/VNTL-v2.5-1k | [
"region:us"
] | 2024-01-27T21:11:30+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24232376, "num_examples": 10083}, {"name": "val", "num_bytes": 37171... | 2024-01-27T21:11:37+00:00 | [] | [] | TAGS
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More Information needed | [
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# Dataset Card for Evaluation run of macadeliccc/Laser-WestLake-2x7b
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [macadeliccc/Laser-WestLake-2x7b](https://huggingface.co/macadeliccc/Laser-WestLake-2x7b) on the [Open LLM Leaderboard](https://huggin... | open-llm-leaderboard/details_macadeliccc__Laser-WestLake-2x7b | [
"region:us"
] | 2024-01-27T21:39:33+00:00 | {"pretty_name": "Evaluation run of macadeliccc/Laser-WestLake-2x7b", "dataset_summary": "Dataset automatically created during the evaluation run of model [macadeliccc/Laser-WestLake-2x7b](https://huggingface.co/macadeliccc/Laser-WestLake-2x7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/op... | 2024-01-27T21:39:53+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of macadeliccc/Laser-WestLake-2x7b
Dataset automatically created during the evaluation run of model macadeliccc/Laser-WestLake-2x7b 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... | [
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# X-SVAMP
[**🤗 Paper**](https://huggingface.co/papers/2311.08711) | [**📖 arXiv**](https://arxiv.org/abs/2311.08711)
### Dataset Description
X-SVAMP is an evaluation benchmark for multilingual large language models (LLMs), including questions and answers in 5 languages (English, Chinese, Korean, Italian and Spanis... | zhihz0535/X-SVAMP_en_zh_ko_it_es | [
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|
# X-SVAMP
Paper | arXiv
### Dataset Description
X-SVAMP is an evaluation benchmark for multilingual large language models (LLMs), including questions and answers in 5 languages (English, Chinese, Korean, Italian and Spanish).
It is intended to evaluate the math reasoning abilities of LLMs. The dataset is translat... | [
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# X-TruthfulQA
[**🤗 Paper**](https://huggingface.co/papers/2311.08711) | [**📖 arXiv**](https://arxiv.org/abs/2311.08711)
### Dataset Description
X-TruthfulQA is an evaluation benchmark for multilingual large language models (LLMs), including questions and answers in 5 languages (English, Chinese, Korean, Italian ... | zhihz0535/X-TruthfulQA_en_zh_ko_it_es | [
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# X-TruthfulQA
Paper | arXiv
### Dataset Description
X-TruthfulQA is an evaluation benchmark for multilingual large language models (LLMs), including questions and answers in 5 languages (English, Chinese, Korean, Italian and Spanish).
It is intended to evaluate the truthfulness of LLMs. The dataset is translated... | [
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# Dataset Card for Evaluation run of namirocks/vicuna-tutor-shishya-model-7b-ep3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [namirocks/vicuna-tutor-shishya-model-7b-ep3](https://huggingface.co/namirocks/vicuna-tutor-shishya-model-7b-ep3) on the [... | open-llm-leaderboard/details_namirocks__vicuna-tutor-shishya-model-7b-ep3 | [
"region:us"
] | 2024-01-27T21:56:03+00:00 | {"pretty_name": "Evaluation run of namirocks/vicuna-tutor-shishya-model-7b-ep3", "dataset_summary": "Dataset automatically created during the evaluation run of model [namirocks/vicuna-tutor-shishya-model-7b-ep3](https://huggingface.co/namirocks/vicuna-tutor-shishya-model-7b-ep3) on the [Open LLM Leaderboard](https://hu... | 2024-01-27T21:56:22+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of namirocks/vicuna-tutor-shishya-model-7b-ep3
Dataset automatically created during the evaluation run of model namirocks/vicuna-tutor-shishya-model-7b-ep3 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
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# Dataset Card for Evaluation run of The-Face-Of-Goonery/HuginnV5.5-12.6B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [The-Face-Of-Goonery/HuginnV5.5-12.6B](https://huggingface.co/The-Face-Of-Goonery/HuginnV5.5-12.6B) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_The-Face-Of-Goonery__HuginnV5.5-12.6B | [
"region:us"
] | 2024-01-27T22:50:38+00:00 | {"pretty_name": "Evaluation run of The-Face-Of-Goonery/HuginnV5.5-12.6B", "dataset_summary": "Dataset automatically created during the evaluation run of model [The-Face-Of-Goonery/HuginnV5.5-12.6B](https://huggingface.co/The-Face-Of-Goonery/HuginnV5.5-12.6B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-27T22:50:57+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of The-Face-Of-Goonery/HuginnV5.5-12.6B
Dataset automatically created during the evaluation run of model The-Face-Of-Goonery/HuginnV5.5-12.6B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset ... | [
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# Dataset Card for Evaluation run of macadeliccc/WestLake-7B-v2-laser-truthy-dpo
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo) on the [... | open-llm-leaderboard/details_macadeliccc__WestLake-7B-v2-laser-truthy-dpo | [
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] | 2024-01-27T23:15:04+00:00 | {"pretty_name": "Evaluation run of macadeliccc/WestLake-7B-v2-laser-truthy-dpo", "dataset_summary": "Dataset automatically created during the evaluation run of model [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo) on the [Open LLM Leaderboard](https://hu... | 2024-01-27T23:15:29+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of macadeliccc/WestLake-7B-v2-laser-truthy-dpo
Dataset automatically created during the evaluation run of model macadeliccc/WestLake-7B-v2-laser-truthy-dpo on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.... | [
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# Dataset Card for Evaluation run of amazingvince/openhermes-7b-dpo
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [amazingvince/openhermes-7b-dpo](https://huggingface.co/amazingvince/openhermes-7b-dpo) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_amazingvince__openhermes-7b-dpo | [
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# Dataset Card for Evaluation run of amazingvince/openhermes-7b-dpo
Dataset automatically created during the evaluation run of model amazingvince/openhermes-7b-dpo 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 cre... | [
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# Dataset Card for Evaluation run of AA051610/A0127
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [AA051610/A0127](https://huggingface.co/AA051610/A0127) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)... | open-llm-leaderboard/details_AA051610__A0127 | [
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] | 2024-01-27T23:37:55+00:00 | {"pretty_name": "Evaluation run of AA051610/A0127", "dataset_summary": "Dataset automatically created during the evaluation run of model [AA051610/A0127](https://huggingface.co/AA051610/A0127) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of ... | 2024-01-27T23:38:16+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of AA051610/A0127
Dataset automatically created during the evaluation run of model AA051610/A0127 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 from 1 run(s). Each run can... | [
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# Dataset Card for Evaluation run of abacusai/Smaug-34B-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [abacusai/Smaug-34B-v0.1](https://huggingface.co/abacusai/Smaug-34B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingF... | open-llm-leaderboard/details_abacusai__Smaug-34B-v0.1 | [
"region:us"
] | 2024-01-28T00:50:03+00:00 | {"pretty_name": "Evaluation run of abacusai/Smaug-34B-v0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [abacusai/Smaug-34B-v0.1](https://huggingface.co/abacusai/Smaug-34B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\n... | 2024-01-28T00:50:31+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of abacusai/Smaug-34B-v0.1
Dataset automatically created during the evaluation run of model abacusai/Smaug-34B-v0.1 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 from 1 ru... | [
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# Dataset Card for Evaluation run of kaitchup/Mayonnaise-4in1-022
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kaitchup/Mayonnaise-4in1-022](https://huggingface.co/kaitchup/Mayonnaise-4in1-022) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_kaitchup__Mayonnaise-4in1-022 | [
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# Dataset Card for Evaluation run of kaitchup/Mayonnaise-4in1-022
Dataset automatically created during the evaluation run of model kaitchup/Mayonnaise-4in1-022 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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# Dataset Card for Evaluation run of kaitchup/TheMayonnaise
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kaitchup/TheMayonnaise](https://huggingface.co/kaitchup/TheMayonnaise) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFace... | open-llm-leaderboard/details_kaitchup__TheMayonnaise | [
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# Dataset Card for Evaluation run of kaitchup/TheMayonnaise
Dataset automatically created during the evaluation run of model kaitchup/TheMayonnaise on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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# Dataset Card for NST-da Normalized
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]... | JackismyShephard/nst-da-norm | [
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# Dataset Card for NST-da Normalized
## Dataset Details
### Dataset Description
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- Language(s) (NLP): da
- License: cc0-1.0
### Dataset Sources [optional]
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# Dataset Card for Evaluation run of SC56/Mistral-7B-orca-dpo-2h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-orca-dpo-2h](https://huggingface.co/SC56/Mistral-7B-orca-dpo-2h) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_SC56__Mistral-7B-orca-dpo-2h | [
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# Dataset Card for Evaluation run of SC56/Mistral-7B-orca-dpo-2h
Dataset automatically created during the evaluation run of model SC56/Mistral-7B-orca-dpo-2h on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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# Dataset Card for Evaluation run of SC56/Mistral-7B-orca-dpo-4h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-orca-dpo-4h](https://huggingface.co/SC56/Mistral-7B-orca-dpo-4h) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_SC56__Mistral-7B-orca-dpo-4h | [
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# Dataset Card for Evaluation run of SC56/Mistral-7B-orca-dpo-4h
Dataset automatically created during the evaluation run of model SC56/Mistral-7B-orca-dpo-4h 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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d11182d0851c8d6fc01f4753ec00cc70c98543bf | **Real-world data in MultipanelVQA**
Paper: Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA [(arXiv)](https://arxiv.org/abs/2401.15847)
Website: [https://sites.google.com/view/multipanelvqa/home](https://sites.google.com/view/multipanelvqa/home)
MultipanelVQA includes both real-worl... | yfan1997/MultipanelVQA_real-world | [
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| Real-world data in MultipanelVQA
Paper: Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA (arXiv)
Website: URL
MultipanelVQA includes both real-world data and synthetic data.
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# Dataset Card for Evaluation run of SC56/Mistral-7B-orca-dpo-8h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-orca-dpo-8h](https://huggingface.co/SC56/Mistral-7B-orca-dpo-8h) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_SC56__Mistral-7B-orca-dpo-8h | [
"region:us"
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# Dataset Card for Evaluation run of SC56/Mistral-7B-orca-dpo-8h
Dataset automatically created during the evaluation run of model SC56/Mistral-7B-orca-dpo-8h on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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# Flan 2021 Coreference Tasks
- Project: https://github.com/google-research/FLAN/tree/main/flan/v2
- Data source: [DataProvenanceInitiative/flan2021_submix_original](https://huggingface.co/datasets/DataProvenanceInitiative/flan2021_submix_original)
## Details
This dataset contains all coreference examples that were... | coref-data/flan2021_coreference_raw | [
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# Flan 2021 Coreference Tasks
- Project: URL
- Data source: DataProvenanceInitiative/flan2021_submix_original
## Details
This dataset contains all coreference examples that were included in the Flan 2022 collection which were orignally included in Flan 2021.
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# Dataset Card for Evaluation run of SC56/Mistral-7B-orca-dpo-12h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-orca-dpo-12h](https://huggingface.co/SC56/Mistral-7B-orca-dpo-12h) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_SC56__Mistral-7B-orca-dpo-12h | [
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# Dataset Card for Evaluation run of SC56/Mistral-7B-orca-dpo-12h
Dataset automatically created during the evaluation run of model SC56/Mistral-7B-orca-dpo-12h on the Open LLM Leaderboard.
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# Taiyi_Instruction_Data_001
The raw instruction data is used to train [Taiyi](https://huggingface.co/DUTIR-BioNLP/Taiyi-LLM) LLM. The data is distributed under CC BY-NC-SA 4.0. The original benchmark datasets that support this study are available from the official websites of natural language processing challenges w... | DUTIR-BioNLP/Taiyi_Instruction_Data_001 | [
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"region:us"
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#license-cc-by-nc-sa-4.0 #region-us
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# Taiyi_Instruction_Data_001
The raw instruction data is used to train Taiyi LLM. The data is distributed under CC BY-NC-SA 4.0. The original benchmark datasets that support this study are available from the official websites of natural language processing challenges with Data Use Agreements.
More details can be fou... | [
"# Taiyi_Instruction_Data_001\n\nThe raw instruction data is used to train Taiyi LLM. The data is distributed under CC BY-NC-SA 4.0. The original benchmark datasets that support this study are available from the official websites of natural language processing challenges with Data Use Agreements.\n\nMore details ca... | [
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90f1af2d60c892215aaef1cc4db28adcdcc94735 |
# Dataset Card for Evaluation run of SC56/Mistral-7B-sumz-dpo-3h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-sumz-dpo-3h](https://huggingface.co/SC56/Mistral-7B-sumz-dpo-3h) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_SC56__Mistral-7B-sumz-dpo-3h | [
"region:us"
] | 2024-01-28T02:23:27+00:00 | {"pretty_name": "Evaluation run of SC56/Mistral-7B-sumz-dpo-3h", "dataset_summary": "Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-sumz-dpo-3h](https://huggingface.co/SC56/Mistral-7B-sumz-dpo-3h) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-28T02:23:49+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of SC56/Mistral-7B-sumz-dpo-3h
Dataset automatically created during the evaluation run of model SC56/Mistral-7B-sumz-dpo-3h 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 SC56/Mistral-7B-sumz-dpo-3h\n\n\n\nDataset automatically created during the evaluation run of model SC56/Mistral-7B-sumz-dpo-3h 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... | [
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647c33397feecbba3f620c6ead0c17c0399b368a |
# Dataset Card for Evaluation run of SC56/Mistral-7B-sumz-dpo-4h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-sumz-dpo-4h](https://huggingface.co/SC56/Mistral-7B-sumz-dpo-4h) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_SC56__Mistral-7B-sumz-dpo-4h | [
"region:us"
] | 2024-01-28T02:27:55+00:00 | {"pretty_name": "Evaluation run of SC56/Mistral-7B-sumz-dpo-4h", "dataset_summary": "Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-sumz-dpo-4h](https://huggingface.co/SC56/Mistral-7B-sumz-dpo-4h) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-28T02:28:18+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of SC56/Mistral-7B-sumz-dpo-4h
Dataset automatically created during the evaluation run of model SC56/Mistral-7B-sumz-dpo-4h 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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2bf9d0b99539bf61c26b6becc216702654db0a23 |
# Dataset Card for Evaluation run of SC56/Mistral-7B-sumz-dpo-5h
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-sumz-dpo-5h](https://huggingface.co/SC56/Mistral-7B-sumz-dpo-5h) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_SC56__Mistral-7B-sumz-dpo-5h | [
"region:us"
] | 2024-01-28T02:33:56+00:00 | {"pretty_name": "Evaluation run of SC56/Mistral-7B-sumz-dpo-5h", "dataset_summary": "Dataset automatically created during the evaluation run of model [SC56/Mistral-7B-sumz-dpo-5h](https://huggingface.co/SC56/Mistral-7B-sumz-dpo-5h) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-28T02:34:18+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of SC56/Mistral-7B-sumz-dpo-5h
Dataset automatically created during the evaluation run of model SC56/Mistral-7B-sumz-dpo-5h 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 SC56/Mistral-7B-sumz-dpo-5h\n\n\n\nDataset automatically created during the evaluation run of model SC56/Mistral-7B-sumz-dpo-5h 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... | [
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0d17ca8c3df072f3e606f3f11cb1673b4c165937 | # Dataset Card for "esc50_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/esc50_unit | [
"region:us"
] | 2024-01-28T02:37:58+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... | 2024-01-28T02:39:15+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "esc50_unit"
More Information needed | [
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ecf79f97688befdb5cc82eb07c8099dd847461e6 |
# Dataset Card for `truthful_qa_context`
## Dataset Summary
`TruthfulQA Context` is an extension of the `TruthfulQA` benchmark, specifically designed to enhance its utility for models that rely on Retrieval-Augmented Generation (RAG). This version includes the original questions and answers from `TruthfulQA`, along ... | portkey/truthful_qa_context | [
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] | 2024-01-28T02:39:12+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-generation", "question-answering", "multiple-choice"], "pretty_name": "Truthful QA with Context", "tags": ["language-modeling"]} | 2024-01-28T03:30:00+00:00 | [
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#task_categories-text-generation #task_categories-question-answering #task_categories-multiple-choice #size_categories-n<1K #language-English #license-mit #language-modeling #arxiv-2109.07958 #region-us
| Dataset Card for 'truthful\_qa\_context'
========================================
Dataset Summary
---------------
'TruthfulQA Context' is an extension of the 'TruthfulQA' benchmark, specifically designed to enhance its utility for models that rely on Retrieval-Augmented Generation (RAG). This version includes the o... | [
"### Data Instances\n\n\nThis dataset includes the same structure as 'TruthfulQA', with the addition of context text for each question. An example looks like this:",
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50f59dba8c4e176065ec87918472df521835b642 | # Dataset Card for "gunshot_triangulation_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/gunshot_triangulation_unit | [
"region:us"
] | 2024-01-28T02:52:26+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... | 2024-01-28T02:53:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gunshot_triangulation_unit"
More Information needed | [
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dfc082016f0fc30382b07086d27c5c673f9e51dd |
# Dataset Card for Evaluation run of luqmanxyz/FrankenVillain-7B-v1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [luqmanxyz/FrankenVillain-7B-v1](https://huggingface.co/luqmanxyz/FrankenVillain-7B-v1) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_luqmanxyz__FrankenVillain-7B-v1 | [
"region:us"
] | 2024-01-28T02:52:52+00:00 | {"pretty_name": "Evaluation run of luqmanxyz/FrankenVillain-7B-v1", "dataset_summary": "Dataset automatically created during the evaluation run of model [luqmanxyz/FrankenVillain-7B-v1](https://huggingface.co/luqmanxyz/FrankenVillain-7B-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2024-01-28T02:53:18+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of luqmanxyz/FrankenVillain-7B-v1
Dataset automatically created during the evaluation run of model luqmanxyz/FrankenVillain-7B-v1 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 cre... | [
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4056bbb77123bf18ae1f08ca6b79bb85cba5272b | # Dataset Card for "mridangam_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/mridangam_unit | [
"region:us"
] | 2024-01-28T03:03:12+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... | 2024-01-28T03:04:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mridangam_unit"
More Information needed | [
"# Dataset Card for \"mridangam_unit\"\n\nMore Information needed"
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144117b458a81066fd10532af8955cf32d756687 | # Dataset Card for "beijing_opera_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/beijing_opera_unit | [
"region:us"
] | 2024-01-28T03:04:57+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... | 2024-01-28T03:05:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "beijing_opera_unit"
More Information needed | [
"# Dataset Card for \"beijing_opera_unit\"\n\nMore Information needed"
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f6c2b426b8bbda0b30e799d362b97d352c3f3f93 | # Dataset Card for "gtzan_music_speech_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/gtzan_music_speech_synth | [
"region:us"
] | 2024-01-28T03:09:42+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"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... | 2024-01-28T03:13:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gtzan_music_speech_synth"
More Information needed | [
"# Dataset Card for \"gtzan_music_speech_synth\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"gtzan_music_speech_synth\"\n\nMore Information needed"
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4d41326795fe0ff358c402fd50348adf62143413 | # Dataset Card for "gtzan_music_speech_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/gtzan_music_speech_unit | [
"region:us"
] | 2024-01-28T03:13:49+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... | 2024-01-28T03:14:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gtzan_music_speech_unit"
More Information needed | [
"# Dataset Card for \"gtzan_music_speech_unit\"\n\nMore Information needed"
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9289586271826b1b87f97954b0b6f674c3078e16 | # Dataset Card for "vox_lingua_top10_synth"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/vox_lingua_top10_synth | [
"region:us"
] | 2024-01-28T03:42:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "original", "path": "data/original-*"}, {"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... | 2024-01-28T04:38:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vox_lingua_top10_synth"
More Information needed | [
"# Dataset Card for \"vox_lingua_top10_synth\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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62cba7d77ce9311795b179c98f509b01aa3cd274 | # Dataset Card for "gtzan_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/gtzan_unit | [
"region:us"
] | 2024-01-28T03:47:54+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... | 2024-01-28T03:49:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gtzan_unit"
More Information needed | [
"# Dataset Card for \"gtzan_unit\"\n\nMore Information needed"
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d21a8492d29961e7c1a8fbf696780ff4c716ab48 |
## Python Copilot Instructions on How to Code using Alpaca and Yaml
This dataset is the 2024-01-27 update for the matlok python copilot datasets. Please refer to the [Multimodal Python Copilot Training Overview](https://huggingface.co/datasets/matlok/multimodal-python-copilot-training-overview) for more details on ho... | matlok/python-text-copilot-training-instruct-ai-research-2024-01-27 | [
"task_categories:text-generation",
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"task_ids:parsing",
"size_categories:1M<n<10M",
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"python-coding",
"python-architecture",
"knowledge-graphs",
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"fine-tuning",
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"question-ans... | 2024-01-28T04:22:40+00:00 | {"license": ["other"], "size_categories": ["1M<n<10M"], "task_categories": ["text-generation", "question-answering"], "task_ids": ["parsing"], "pretty_name": "python copilot instructions on how to code using alpaca and yaml", "dataset_info": [{"config_name": "v1_train_on_ai_latest", "splits": [{"name": "v1_train_on_ai_... | 2024-01-28T05:03:32+00:00 | [] | [] | TAGS
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## Python Copilot Instructions on How to Code using Alpaca and Yaml
This dataset is the 2024-01-27 update for the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
### Details
Each row contains python code, either a class met... | [
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85844996573ad9ed211487152380b5b4bd8653fd | # Dataset Card for "TheoremQA"
## Introduction
We propose the first question-answering dataset driven by STEM theorems. We annotated 800 QA pairs covering 350+ theorems spanning across Math, EE&CS, Physics and Finance. The dataset is collected by human experts with very high quality. We provide the dataset as a new be... | TIGER-Lab/TheoremQA | [
"arxiv:2305.12524",
"region:us"
] | 2024-01-28T04:37:18+00:00 | {"dataset_info": {"features": [{"name": "Question", "dtype": "string"}, {"name": "Answer", "dtype": "string"}, {"name": "Answer_type", "dtype": "string"}, {"name": "Picture", "dtype": "image"}], "splits": [{"name": "test", "num_bytes": 5025006.0, "num_examples": 800}], "download_size": 4641459, "dataset_size": 5025006.... | 2024-01-28T04:40:12+00:00 | [
"2305.12524"
] | [] | TAGS
#arxiv-2305.12524 #region-us
| # Dataset Card for "TheoremQA"
## Introduction
We propose the first question-answering dataset driven by STEM theorems. We annotated 800 QA pairs covering 350+ theorems spanning across Math, EE&CS, Physics and Finance. The dataset is collected by human experts with very high quality. We provide the dataset as a new be... | [
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7bac8e75353a256dfd6b97874fcf54c975846fed | # Dataset Card for "vox_lingua_top10_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/vox_lingua_top10_unit | [
"region:us"
] | 2024-01-28T04:38:04+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... | 2024-01-28T12:46:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vox_lingua_top10_unit"
More Information needed | [
"# Dataset Card for \"vox_lingua_top10_unit\"\n\nMore Information needed"
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97b39233e0ab0cc67f527016618624fc39631c91 |
## Dataset Info
**Total files**: 26,591 files == (`(num_fonts * num_sentences) - num_0_byte_fonts - num_error_image`)
**Total fonts**: 2,972 fonts
**Total sentences**: 10
## Dataset Creation Info
All images were downloaded from [khmerfonts.info](https://khmerfonts.info) by using a script below:
```python
with o... | seanghay/khmerfonts-info-previews | [
"language:km",
"license:cc-by-4.0",
"region:us"
] | 2024-01-28T04:40:18+00:00 | {"language": ["km"], "license": "cc-by-4.0", "pretty_name": "khmerfonts", "dataset_info": {"features": [{"name": "file_name", "dtype": "image"}, {"name": "text", "dtype": "string"}]}} | 2024-01-28T10:52:05+00:00 | [] | [
"km"
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#language-Khmer #license-cc-by-4.0 #region-us
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## Dataset Info
Total files: 26,591 files == ('(num_fonts * num_sentences) - num_0_byte_fonts - num_error_image')
Total fonts: 2,972 fonts
Total sentences: 10
## Dataset Creation Info
All images were downloaded from URL by using a script below:
Download all files using 'aria2c'
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038f785a467f2d939c7e0aa3c19495fc24fe95ad |
# Dataset Card for Evaluation run of namirocks/mistral-class-tutor-7b-ep3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [namirocks/mistral-class-tutor-7b-ep3](https://huggingface.co/namirocks/mistral-class-tutor-7b-ep3) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_namirocks__mistral-class-tutor-7b-ep3 | [
"region:us"
] | 2024-01-28T04:45:43+00:00 | {"pretty_name": "Evaluation run of namirocks/mistral-class-tutor-7b-ep3", "dataset_summary": "Dataset automatically created during the evaluation run of model [namirocks/mistral-class-tutor-7b-ep3](https://huggingface.co/namirocks/mistral-class-tutor-7b-ep3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-28T04:46:05+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of namirocks/mistral-class-tutor-7b-ep3
Dataset automatically created during the evaluation run of model namirocks/mistral-class-tutor-7b-ep3 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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be8d4271e72b9831667d62f884c5fd2eaaa0f2be | A system prompt was added to each item. Was made using a Mistral Perscengen Remake QLoRA format similar to [lemonilia/LimaRP-perscengen-v5](https://huggingface.co/lemonilia/LimaRP-perscengen-v5), and a [python script](https://gist.github.com/xzuyn/fe00ae8895550f3bfaddaa773e55146e) to verify the output format is correct... | PJMixers/grimulkan_bluemoon_Karen_cleaned-carded | [
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In the script it has 5 chances to output in the correct format, if it fails t... | [] | [
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36146684ff97d2c3be4cf437dc3544c8ccc26482 |
# Dataset Card for Housing
This dataset is from https://github.com/ageron/data/
### Dataset Description
This dataset is for CS482 Assignment 1
- **Curated by:** Aman Mangukiya
### Dataset Sources
**Repository:** https://github.com/ageron/data/tree/main/housing
## Dataset Card Authors
Aman Mangukiya | Amangukiya/cs482 | [
"size_categories:10K<n<100K",
"language:en",
"code",
"region:us"
] | 2024-01-28T05:17:21+00:00 | {"language": ["en"], "size_categories": ["10K<n<100K"], "pretty_name": "CS482Assignment1", "dataset_info": {"features": [{"name": "longitude", "dtype": "float64"}, {"name": "latitude", "dtype": "float64"}, {"name": "housing_median_age", "dtype": "float64"}, {"name": "total_rooms", "dtype": "float64"}, {"name": "total_b... | 2024-01-28T06:21:23+00:00 | [] | [
"en"
] | TAGS
#size_categories-10K<n<100K #language-English #code #region-us
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# Dataset Card for Housing
This dataset is from URL
### Dataset Description
This dataset is for CS482 Assignment 1
- Curated by: Aman Mangukiya
### Dataset Sources
Repository: URL
## Dataset Card Authors
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549f65d06e6a25ed5d95eb163c231ae4be705392 |
# Dataset Card for Evaluation run of zorobin/mistral-class-shishya-7b-ep3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [zorobin/mistral-class-shishya-7b-ep3](https://huggingface.co/zorobin/mistral-class-shishya-7b-ep3) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_zorobin__mistral-class-shishya-7b-ep3 | [
"region:us"
] | 2024-01-28T05:40:37+00:00 | {"pretty_name": "Evaluation run of zorobin/mistral-class-shishya-7b-ep3", "dataset_summary": "Dataset automatically created during the evaluation run of model [zorobin/mistral-class-shishya-7b-ep3](https://huggingface.co/zorobin/mistral-class-shishya-7b-ep3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-28T05:40:57+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of zorobin/mistral-class-shishya-7b-ep3
Dataset automatically created during the evaluation run of model zorobin/mistral-class-shishya-7b-ep3 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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93d8e7060ac7765709f7667086fd40a5dc5c21e5 |
# Dataset Card for Evaluation run of zorobin/mistral-class-shishya-all-hal-7b-ep3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [zorobin/mistral-class-shishya-all-hal-7b-ep3](https://huggingface.co/zorobin/mistral-class-shishya-all-hal-7b-ep3) on th... | open-llm-leaderboard/details_zorobin__mistral-class-shishya-all-hal-7b-ep3 | [
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# Dataset Card for Evaluation run of zorobin/mistral-class-shishya-all-hal-7b-ep3
Dataset automatically created during the evaluation run of model zorobin/mistral-class-shishya-all-hal-7b-ep3 on the Open LLM Leaderboard.
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794645156d11bc1dda07de9cc7ed5c672041bf15 | # Dataset Card for "libricount_unit"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/libricount_unit | [
"region:us"
] | 2024-01-28T05:50:47+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... | 2024-01-28T05:52:26+00:00 | [] | [] | TAGS
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9465ca9b2d8016e185640a55fc1da7569be1defd |
# Dataset Card for Evaluation run of Himitsui/KuroMitsu-11B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Himitsui/KuroMitsu-11B](https://huggingface.co/Himitsui/KuroMitsu-11B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFace... | open-llm-leaderboard/details_Himitsui__KuroMitsu-11B | [
"region:us"
] | 2024-01-28T06:26:29+00:00 | {"pretty_name": "Evaluation run of Himitsui/KuroMitsu-11B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Himitsui/KuroMitsu-11B](https://huggingface.co/Himitsui/KuroMitsu-11B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe... | 2024-01-28T06:26:50+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Himitsui/KuroMitsu-11B
Dataset automatically created during the evaluation run of model Himitsui/KuroMitsu-11B 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 from 1 run(... | [
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22cb6c49f466b5c93571bd43c08cad9ffc83228c |
# Dataset Card for Evaluation run of SC44/Mistral-7B-private-spef
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC44/Mistral-7B-private-spef](https://huggingface.co/SC44/Mistral-7B-private-spef) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_SC44__Mistral-7B-private-spef | [
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# Dataset Card for Evaluation run of SC44/Mistral-7B-private-spef
Dataset automatically created during the evaluation run of model SC44/Mistral-7B-private-spef on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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e3ae2bad021e11d42cb232f77cd8a6f1f99f354b | A collection of Sir Arthur Conan Doyle's Sherlock Holmes books for NLP A2. | minnbanya/nlp-a2-sherlock | [
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5364f4b3eef6461283f30e444e501eaeae2d7547 |
# Dataset Card for Evaluation run of SC44/Mistral-7B-private-spnf
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SC44/Mistral-7B-private-spnf](https://huggingface.co/SC44/Mistral-7B-private-spnf) on the [Open LLM Leaderboard](https://huggingface.co/... | open-llm-leaderboard/details_SC44__Mistral-7B-private-spnf | [
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# Dataset Card for Evaluation run of SC44/Mistral-7B-private-spnf
Dataset automatically created during the evaluation run of model SC44/Mistral-7B-private-spnf on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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30a346ec95a9991f50e54fd52838d3dcab5ef1d2 | # Dataset Card for "CodeContests_apps_format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | rookielixinye/CodeContests_apps_format | [
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2512ae08c5147324979dd3f8268ce009338d6eae | # Dataset Card for "c_x86_O0_exebench_augment1_json_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhangshuoming/c_x86_O0_exebench_augment1_json_cleaned | [
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| # Dataset Card for "c_x86_O0_exebench_augment1_json_cleaned"
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ddf6c4652cf4e2ace9fc7e004b7bf88398d5105e |
# Dataset Card for Evaluation run of Locutusque/Hercules-1.0-Mistral-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Locutusque/Hercules-1.0-Mistral-7B](https://huggingface.co/Locutusque/Hercules-1.0-Mistral-7B) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_Locutusque__Hercules-1.0-Mistral-7B | [
"region:us"
] | 2024-01-28T07:11:07+00:00 | {"pretty_name": "Evaluation run of Locutusque/Hercules-1.0-Mistral-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [Locutusque/Hercules-1.0-Mistral-7B](https://huggingface.co/Locutusque/Hercules-1.0-Mistral-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2024-01-28T07:11:27+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of Locutusque/Hercules-1.0-Mistral-7B
Dataset automatically created during the evaluation run of model Locutusque/Hercules-1.0-Mistral-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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3d6c54ef14326119dc0a18730ef9b73aecd6fcb6 | # Dataset Card for "c_x86_O0_exebench_augment1_json_cleaned2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhangshuoming/c_x86_O0_exebench_augment1_json_cleaned2 | [
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| # Dataset Card for "c_x86_O0_exebench_augment1_json_cleaned2"
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200aaf5d74f8aeda6486ca2957767fdc44807b4d |
数据集 unalignment/toxic-dpo-v0.2 的中英文对照版本。
这是一个高度有害的数据集，旨在通过很少的示例来说明如何使用 DPO 轻松地对模型进行去审查/取消对齐。
这份对照版本的中文来自多个不同模型的意译。转换的过程中，模型被允许对结果进行演绎以求通顺，无法对结果的准确性作任何保证。
使用限制请参照原数据集的 Usage restriction。
---
# Original Dataset Description:
## Toxic-DPO
This is a highly toxic, "harmful" dataset meant to illustrate how DPO can be u... | tastypear/unalignment-toxic-dpo-v0.2-zh_cn | [
"task_categories:conversational",
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] | 2024-01-28T07:55:35+00:00 | {"language": ["zh"], "license": "cc-by-4.0", "task_categories": ["conversational"], "tags": ["not-for-all-audiences"]} | 2024-01-31T13:57:28+00:00 | [] | [
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数据集 unalignment/toxic-dpo-v0.2 的中英文对照版本。
这是一个高度有害的数据集，旨在通过很少的示例来说明如何使用 DPO 轻松地对模型进行去审查/取消对齐。
这份对照版本的中文来自多个不同模型的意译。转换的过程中，模型被允许对结果进行演绎以求通顺，无法对结果的准确性作任何保证。
使用限制请参照原数据集的 Usage restriction。
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# Original Dataset Description:
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8bc63a33ad2e4b1207549248a3f2175fe4b6a546 | ## Dataset Description
- **Homepage:** https://image-net.org/index.php
- **Repository:** https://github.com/rwightman/imagenet-12k
- **Paper:** https://arxiv.org/abs/1409.0575
### Dataset Summary
This is a copy of the full [ImageNet](https://www.image-net.org/) dataset consisting of all of the original 21841 clases.... | timm/imagenet-22k-wds | [
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- Paper: URL
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fa24764e9533fdbeec5a4dbca31e19802550c4f7 |
# Dataset Card for Evaluation run of yunconglong/MoE_13B_DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [yunconglong/MoE_13B_DPO](https://huggingface.co/yunconglong/MoE_13B_DPO) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingF... | open-llm-leaderboard/details_yunconglong__MoE_13B_DPO | [
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# Dataset Card for Evaluation run of yunconglong/MoE_13B_DPO
Dataset automatically created during the evaluation run of model yunconglong/MoE_13B_DPO on the Open LLM Leaderboard.
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d04bacb36484003247baf21d9b8401050d5a6da4 | # Dataset Card for "c_x86_O0_anghabench_augment1_json_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhangshuoming/c_x86_O0_anghabench_augment1_json_cleaned | [
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b31b706019cd29a60f452724975df77cdc154b28 | # Dataset Card for "quesst14"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Codec-SUPERB/quesst14 | [
"region:us"
] | 2024-01-28T09:44:48+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "audio", "path": "data/audio-*"}, {"split": "dev_queries", "path": "data/dev_queries-*"}, {"split": "eval_queries", "path": "data/eval_queries-*"}]}], "dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "id", "dtype": "string"}], "... | 2024-01-28T09:46:21+00:00 | [] | [] | TAGS
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3b6a6003a5d6e059b34701ee18bc64caf91b0048 |
# The Synthetic Description from Prompts Dataset
This dataset is created using the Phi 2 3B Q4_K_S quantized model, using 3k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on Lexica.art. This dataset is designed to explore the capabilities of language mod... | gokaygokay/prompt_description_stable_diffusion_3k | [
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] | 2024-01-28T09:51:23+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["text-generation", "text2text-generation"], "dataset_info": {"features": [{"name": "prompts", "dtype": "string"}, {"name": "descriptions", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2224096, "num_examples": 3000}], "download_s... | 2024-01-28T09:56:12+00:00 | [] | [
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|
# The Synthetic Description from Prompts Dataset
This dataset is created using the Phi 2 3B Q4_K_S quantized model, using 3k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on URL. This dataset is designed to explore the capabilities of language models in ... | [
"# The Synthetic Description from Prompts Dataset\n\n\nThis dataset is created using the Phi 2 3B Q4_K_S quantized model, using 3k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on URL. This dataset is designed to explore the capabilities of language mod... | [
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3394aac5546d11aca0a4790fe54de12debfefabf |
# Dataset Card for Evaluation run of venkycs/ZySec-7B-Adapter
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [venkycs/ZySec-7B-Adapter](https://huggingface.co/venkycs/ZySec-7B-Adapter) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggi... | open-llm-leaderboard/details_venkycs__ZySec-7B-Adapter | [
"region:us"
] | 2024-01-28T09:59:41+00:00 | {"pretty_name": "Evaluation run of venkycs/ZySec-7B-Adapter", "dataset_summary": "Dataset automatically created during the evaluation run of model [venkycs/ZySec-7B-Adapter](https://huggingface.co/venkycs/ZySec-7B-Adapter) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2024-01-28T10:00:02+00:00 | [] | [] | TAGS
#region-us
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# Dataset Card for Evaluation run of venkycs/ZySec-7B-Adapter
Dataset automatically created during the evaluation run of model venkycs/ZySec-7B-Adapter 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 from 1 ... | [
"# Dataset Card for Evaluation run of venkycs/ZySec-7B-Adapter\n\n\n\nDataset automatically created during the evaluation run of model venkycs/ZySec-7B-Adapter 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 been cre... | [
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6abab206ba48631c36ddcee3a7d18888873400e9 |
LDJnr/Capybara + Pure-Dove + Verified-Camel
Fork of [M4-ai/LDJnr_combined_inout_format](https://huggingface.co/datasets/M4-ai/LDJnr_combined_inout_format) | aloobun/ldjnr-combined | [
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"task_categories:conversational",
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"license:apache-2.0",
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] | 2024-01-28T10:12:07+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["question-answering", "text-generation", "conversational"]} | 2024-01-28T13:31:17+00:00 | [] | [
"en"
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#task_categories-question-answering #task_categories-text-generation #task_categories-conversational #language-English #license-apache-2.0 #region-us
|
LDJnr/Capybara + Pure-Dove + Verified-Camel
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0c6843a185cdcad641af9c1e05df7cad39840fa0 | # Dataset Card for "wikiNewsSum"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mtc/wikiNewsSum | [
"region:us"
] | 2024-01-28T10:23:33+00:00 | {"dataset_info": {"features": [{"name": "document", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 97304505, "num_examples": 9187}], "download_size": 56745868, "dataset_size": 97304505}} | 2024-01-28T10:23:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "wikiNewsSum"
More Information needed | [
"# Dataset Card for \"wikiNewsSum\"\n\nMore Information needed"
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6729fd1c9c74ee624c06b403cfe8921d835e9011 | # Dataset Card for "BG3-QA-Dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stucksam/BG3-QA-Dataset | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"RAG",
"region:us"
] | 2024-01-28T11:22:18+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["question-answering"], "pretty_name": "bg3_qa_dataset", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "ground_truth... | 2024-01-28T11:23:48+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #size_categories-n<1K #language-English #RAG #region-us
| # Dataset Card for "BG3-QA-Dataset"
More Information needed | [
"# Dataset Card for \"BG3-QA-Dataset\"\n\nMore Information needed"
] | [
"TAGS\n#task_categories-question-answering #size_categories-n<1K #language-English #RAG #region-us \n",
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] |
9196bfcf31491c460983efdd5a7548c1db06f10e | # Dataset Card for "c_x86_O0_anghabench_switch_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhangshuoming/c_x86_O0_anghabench_switch_cleaned | [
"region:us"
] | 2024-01-28T11:49:40+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13676531.203426125, "num_examples": 6183}], "download_size": 2644024, "dataset_size": 13676531.203426125}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2024-01-28T12:57:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c_x86_O0_anghabench_switch_cleaned"
More Information needed | [
"# Dataset Card for \"c_x86_O0_anghabench_switch_cleaned\"\n\nMore Information needed"
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ee3db17d25b927e4034e446920cc5670d102d506 | # Dataset Card for "c_x86_O0_anghabench_switch_eval_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | zhangshuoming/c_x86_O0_anghabench_switch_eval_cleaned | [
"region:us"
] | 2024-01-28T11:49:45+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8845355.0, "num_examples": 12609}], "download_size": 3215715, "dataset_size": 8845355.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]} | 2024-01-28T12:57:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c_x86_O0_anghabench_switch_eval_cleaned"
More Information needed | [
"# Dataset Card for \"c_x86_O0_anghabench_switch_eval_cleaned\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"c_x86_O0_anghabench_switch_eval_cleaned\"\n\nMore Information needed"
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5e0e9627ea4e70a5f24b8be29c81bd3b43f0682a |
## Python Copilot Audio Training using Class with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the [Multimodal Python Copilot Training Overview](https://huggingface.co/datasets/matlok/multimodal-python-copilot-training-overview) for more details on how to use this d... | matlok/python-audio-copilot-training-using-class-knowledge-graphs-2024-01-27 | [
"task_categories:text-to-audio",
"task_categories:audio-to-audio",
"task_categories:question-answering",
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"license:other",
"python-copilot",
"python-coding",
"python-architecture",
"knowledge-graphs",
"multimodal",
"text-image-audio",
"fine-tun... | 2024-01-28T12:12:12+00:00 | {"license": ["other"], "size_categories": ["100K<n<1M"], "task_categories": ["text-to-audio", "audio-to-audio", "question-answering"], "task_ids": ["parsing"], "pretty_name": "python copilot audio training using class with knowledge graphs collected on 2024-01-27", "dataset_info": [{"config_name": "v1_train_transformer... | 2024-01-28T17:55:57+00:00 | [] | [] | TAGS
#task_categories-text-to-audio #task_categories-audio-to-audio #task_categories-question-answering #task_ids-parsing #size_categories-100K<n<1M #license-other #python-copilot #python-coding #python-architecture #knowledge-graphs #multimodal #text-image-audio #fine-tuning #training #question-answering #image-knowle... |
## Python Copilot Audio Training using Class with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
### Details
Each class method has a question and answer mp3 where one voice ... | [
"## Python Copilot Audio Training using Class with Knowledge Graphs\n\nThis dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.",
"### Details\n\nEach class method has a question and answer mp3 wher... | [
"TAGS\n#task_categories-text-to-audio #task_categories-audio-to-audio #task_categories-question-answering #task_ids-parsing #size_categories-100K<n<1M #license-other #python-copilot #python-coding #python-architecture #knowledge-graphs #multimodal #text-image-audio #fine-tuning #training #question-answering #image-... | [
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6707a0946f3ee60673ed19017ac26a23bb3216ab | id Statement Image Web Category Date Label
2 WHO praises India's Aarogya Setu app, says it helped in identifying COVID-19 clusters https://cdn.dnaindia.com/sites/default/files/styles/third/public/2020/10/13/931075-aarogya-setu-who.jpg DNAINDIA COVID-19 Oct-20 TRUE
3 In Delhi, Deputy US Secretary of State Stephen Biegun... | SSoudamini/SampleFake | [
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3 In Delhi, Deputy US Secretary of State Stephen Biegun pitches for Pax Indo-Pacifica URL DNAINDIA VIOLENCE Oct-20 TRUE
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