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1f2faa0e7754d110ae057feabdc6609eb8bf9da4 | Multi-turn conversation generated using Mistral-V4 on JPJ-Test-Prep questions. | malaysia-ai/Multiturn-JPJ-Test-Prep | [
"license:apache-2.0",
"region:us"
] | 2024-01-26T17:31:42+00:00 | {"license": "apache-2.0"} | 2024-01-26T17:34:59+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Multi-turn conversation generated using Mistral-V4 on JPJ-Test-Prep questions. | [] | [
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59822e289866d5435511213a194a22d891986600 | # Dataset Card for "ar-vi_non_top_cs_train"
[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_train | [
"region:us"
] | 2024-01-26T17:43:14+00:00 | {"dataset_info": {"features": [{"name": "query", "dtype": "string"}, {"name": "passage", "dtype": "string"}, {"name": "label", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 400573139, "num_examples": 1000000}], "download_size": 168471756, "dataset_size": 400573139}, "configs": [{"config_name": "defaul... | 2024-01-26T17:44:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ar-vi_non_top_cs_train"
More Information needed | [
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4fed3bc3f45ade2c9c7f3d4453c93b31d4a2624e | # 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).
## D... | tasneem123/audios | [
"task_categories:audio-classification",
"size_categories:1K<n<10K",
"language:ar",
"language:en",
"region:us"
] | 2024-01-26T18:24:11+00:00 | {"language": ["ar", "en"], "size_categories": ["1K<n<10K"], "task_categories": ["audio-classification"]} | 2024-01-26T21:14:07+00:00 | [] | [
"ar",
"en"
] | TAGS
#task_categories-audio-classification #size_categories-1K<n<10K #language-Arabic #language-English #region-us
| # Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
## Dataset Details
### Dataset Description
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- Funded by [optional]:
- Shared by [optional]:
- Language(s) (NLP):
- License:
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aa82ff932857eca2381adcb3ebf79cd69dd5c795 |
# Dataset Card for Evaluation run of dfurman/MoMoMerge-72B-v0.1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [dfurman/MoMoMerge-72B-v0.1](https://huggingface.co/dfurman/MoMoMerge-72B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_dfurman__MoMoMerge-72B-v0.1 | [
"region:us"
] | 2024-01-26T18:28:29+00:00 | {"pretty_name": "Evaluation run of dfurman/MoMoMerge-72B-v0.1", "dataset_summary": "Dataset automatically created during the evaluation run of model [dfurman/MoMoMerge-72B-v0.1](https://huggingface.co/dfurman/MoMoMerge-72B-v0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2024-01-26T18:28:54+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of dfurman/MoMoMerge-72B-v0.1
Dataset automatically created during the evaluation run of model dfurman/MoMoMerge-72B-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 fro... | [
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aee72e413d2392c42b8e3d0d35107969604dcfe8 |
This dataset was generated by reformatting [`coref-data/davis_wsc_raw`](https://huggingface.co/datasets/coref-data/davis_wsc_raw) into the indiscrim coreference format. See that repo for dataset details.
See [ianporada/coref-data](https://github.com/ianporada/coref-data) for additional conversion details and the conv... | coref-data/davis_wsc_indiscrim | [
"region:us"
] | 2024-01-26T18:33:18+00:00 | {"dataset_info": [{"config_name": "wsc273", "features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "sentences", "list": [{"name": "end_char", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "speaker", "dtype": "null"}, {"name": "start_char", "dtype": "int64"}, {"name... | 2024-01-26T19:57:37+00:00 | [] | [] | TAGS
#region-us
|
This dataset was generated by reformatting 'coref-data/davis_wsc_raw' into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.
| [] | [
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2d10373b62208c7ed8ab9cd09ed3bef21978fb1d | Данный dataset был собран из корпуса "RuSimpleSentEval" (https://github.com/dialogue-evaluation/RuSimpleSentEval), а также "RuAdapt" (https://github.com/Digital-Pushkin-Lab/RuAdapt) для задачи упрощения текста (text simplification).
```
from datasets import load_dataset
data_files={'train':"train.csv",'test':"test.csv... | r1char9/simplification | [
"language:ru",
"Simplification",
"Summarization",
"paraphrase",
"region:us"
] | 2024-01-26T18:48:21+00:00 | {"language": ["ru"], "tags": ["Simplification", "Summarization", "paraphrase"]} | 2024-01-26T19:48:29+00:00 | [] | [
"ru"
] | TAGS
#language-Russian #Simplification #Summarization #paraphrase #region-us
| Данный dataset был собран из корпуса "RuSimpleSentEval" (URL а также "RuAdapt" (URL для задачи упрощения текста (text simplification).
| [] | [
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b978b2eba4a76ebfbb6dc68c1adb0a3f92c89403 | # Commonsense QA CoT (Partial, Annotated) - PRELIMINARY
## Dataset Summary
This dataset is a human-annotated subset of randomly sampled question-answer entries from the CommonsenseQA dataset (tau/commonsense_qa).
The 'rationales' for each QA pair were created using a two-part method. First, Mixtral (mistralai/Mixtral... | peterkchung/commonsense_cot_partial_annotated_prelim | [
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"arxiv:2301.12726",
"arxiv:2311.11045",
"arxiv:2212.10071",
"arxiv:2212.08410",
"region:us"
] | 2024-01-26T18:53:24+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_concept", "dtype": "string"}, {"name": "choices", "struct": [{"name": "label", "sequence": "string"}, {"name": "text", "sequence": "string"}]}, {"name": "answerKey", "dtype": "string"}, {"name":... | 2024-01-26T19:12:28+00:00 | [
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| # Commonsense QA CoT (Partial, Annotated) - PRELIMINARY
## Dataset Summary
This dataset is a human-annotated subset of randomly sampled question-answer entries from the CommonsenseQA dataset (tau/commonsense_qa).
The 'rationales' for each QA pair were created using a two-part method. First, Mixtral (mistralai/Mixtral... | [
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216b539c2f8ad59c3202031d9413ee3eac54efb8 | # CryptoCEN: A Co-expression network for *Cryptococcus neoformans*
Elucidating gene function is a major goal in biology, especially among non-model organisms.
However, doing so is complicated by the fact that molecular conservation does not always
mirror functional conservation, and that complex relationships among gen... | maomlab/CryptoCEN | [
"task_categories:tabular-regression",
"size_categories:10M<n<100M",
"license:mit",
"biology",
"region:us"
] | 2024-01-26T19:05:36+00:00 | {"license": "mit", "size_categories": ["10M<n<100M"], "task_categories": ["tabular-regression"], "pretty_name": "Cryptococcus Coexpression Network", "tags": ["biology"]} | 2024-01-29T03:46:56+00:00 | [] | [] | TAGS
#task_categories-tabular-regression #size_categories-10M<n<100M #license-mit #biology #region-us
| # CryptoCEN: A Co-expression network for *Cryptococcus neoformans*
Elucidating gene function is a major goal in biology, especially among non-model organisms.
However, doing so is complicated by the fact that molecular conservation does not always
mirror functional conservation, and that complex relationships among gen... | [
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afd1a937f9c94ee469aca2758e14b16de296e458 | # Commonsense QA CoT (Partial, Annotated) v0.1
## Dataset Summary
This dataset is a human-annotated subset of randomly sampled question-answer entries from the CommonsenseQA dataset (tau/commonsense_qa).
The 'rationales' for each QA pair were created using a two-part method. First, Mixtral (mistralai/Mixtral-8x7B-Ins... | peterkchung/commonsense_cot_partial_annotated_v0.1 | [
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"arxiv:2212.10071",
"arxiv:2212.08410",
"region:us"
] | 2024-01-26T19:15:42+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_concept", "dtype": "string"}, {"name": "choices", "struct": [{"name": "label", "sequence": "string"}, {"name": "text", "sequence": "string"}]}, {"name": "answerKey", "dtype": "string"}, {"name":... | 2024-01-27T17:07:28+00:00 | [
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| # Commonsense QA CoT (Partial, Annotated) v0.1
## Dataset Summary
This dataset is a human-annotated subset of randomly sampled question-answer entries from the CommonsenseQA dataset (tau/commonsense_qa).
The 'rationales' for each QA pair were created using a two-part method. First, Mixtral (mistralai/Mixtral-8x7B-Ins... | [
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681ce7f6344983f833b79c91a971d3e154d51000 |
# WordNet NVA Embeddings
OpenAI `text-embedding-3-large` embeddings for all nouns, verbs, and adjectives in Princeton's WordNet dataset.
Includes 300 GPT-4-labeled clusters generated using agglomerative clustering, average cosine distance linkage. | SpellcraftAI/wordnet-nva-3-large | [
"license:mit",
"region:us"
] | 2024-01-26T19:17:14+00:00 | {"license": "mit"} | 2024-01-29T18:07:14+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# WordNet NVA Embeddings
OpenAI 'text-embedding-3-large' embeddings for all nouns, verbs, and adjectives in Princeton's WordNet dataset.
Includes 300 GPT-4-labeled clusters generated using agglomerative clustering, average cosine distance linkage. | [
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] |
71dd8f1c456f04ad0c037d0cea271015816f5529 | # vogue-runway-top15-512px-nobg-embeddings2
[Vogue Runway](https://www.vogue.com/fashion-shows)
- 15 fashion houses
- 1679 collections
- 87,547 images
Fashion Houses: Alexander McQueen, Armani, Balenciaga, Calvin Klein, Chanel, Dior, Fendi, Gucci, Hermes, Louis Vuitton, Prada, Ralph Lauren, Saint Laurent, Valentino,... | tonyassi/vogue-runway-top15-512px-nobg-embeddings2 | [
"region:us"
] | 2024-01-26T19:32:23+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "alexander mcqueen,fall 1996 ready to wear", "1": "alexander mcqueen,fall 1997 ready to wear", "2": "alexander mcqueen,fall 1998 ready to wear", "3": "alexander mcqueen,fall 1999 ready to wear"... | 2024-01-29T16:59:06+00:00 | [] | [] | TAGS
#region-us
| # vogue-runway-top15-512px-nobg-embeddings2
Vogue Runway
- 15 fashion houses
- 1679 collections
- 87,547 images
Fashion Houses: Alexander McQueen, Armani, Balenciaga, Calvin Klein, Chanel, Dior, Fendi, Gucci, Hermes, Louis Vuitton, Prada, Ralph Lauren, Saint Laurent, Valentino, Versace.
Images are maximum height 51... | [
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07239e8a780c2aa39d57c607cf3a2924ade4aba9 |
## Dataset Description
Machine Translation (MT) version of Story Books for 180 ISO-639-3 codes (190 variety of languages).
Original dataset: [cis-lmu/GlotStoryBook](https://huggingface.co/datasets/cis-lmu/GlotStoryBook).
This dataset consisted of 4 publishers:
1. asp: [African Storybook](https://africanstorybook.o... | cis-lmu/GlotStoryBook-MT | [
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|
## Dataset Description
Machine Translation (MT) version of Story Books for 180 ISO-639-3 codes (190 variety of languages).
Original dataset: cis-lmu/GlotStoryBook.
This dataset consisted of 4 publishers:
1. asp: African Storybook
2. pb: Pratham Books
3. lcb: Little Cree Books
4. lida: LIDA Stories
- GitHub Repos... | [
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b5c7dd3f30f1d0066a73d5be82ca5ca98d47773b | # Dataset Card for "samantha_instruction_format"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jtatman/samantha_instruction_format | [
"region:us"
] | 2024-01-26T20:05:51+00:00 | {"dataset_info": {"features": [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "instruction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 52003709, "num_examples": 34687}], "download_size": 20270156, "dataset_size": 52003709},... | 2024-01-26T20:06:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "samantha_instruction_format"
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0258a95fc089de69b121b49cfc1e16c1891ac421 | # SCIENCES
#⨜.৻.Ι.Ξ.Π.৻.Ξ.⨜
***#⨜.৻.Ι.Ξ.Π.৻.Ξ.⨜***, here is a link of the download website : __https://dapsvi.pythonanywhere.com/__
# FOR FRENCH
*Le Projet #SCIENCES se distingue comme une entreprise visionnaire qui vise à révolutionner l'exploration scientifique et la simulation à travers un logiciel d'envergur... | ssbagpc/sciencess | [
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4c0f60ef7b51a63393b3e046fe2acd577a3feedd |
## Dataset Description
Parallel storybooks for African languages and English (11 language codes). The same `parallel_id` in different languages indicates that these stories are parallel.
The data collected from [nalibali.org](https://www.nalibali.org/story-resources/multilingual-stories).
This repository is part of ... | cis-lmu/GlotStoryBook-Nalibali | [
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"language:t... | 2024-01-26T20:46:13+00:00 | {"language": ["afr", "eng", "nbl", "nso", "sot", "ssw", "tsn", "tso", "ven", "xho", "zul"], "license": "cc0-1.0", "multilinguality": ["multilingual", "translation"], "task_categories": ["translation", "text-generation", "text2text-generation"], "pretty_name": "GlotStoryBook-Nalibali", "configs": [{"config_name": "defau... | 2024-01-26T21:16:01+00:00 | [
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## Dataset Description
Parallel storybooks for African languages and English (11 language codes). The same 'parallel_id' in different languages indicates that these stories are parallel.
The data collected from URL.
This repository is part of the GlotStoryBook project, check other datasources (African Storybook, Pra... | [
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# Dataset Card for Evaluation run of openagi-project/OpenAGI-7B-v0.1-test-ada
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [openagi-project/OpenAGI-7B-v0.1-test-ada](https://huggingface.co/openagi-project/OpenAGI-7B-v0.1-test-ada) on the [Open LLM ... | open-llm-leaderboard/details_openagi-project__OpenAGI-7B-v0.1-test-ada | [
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# Dataset Card for Evaluation run of openagi-project/OpenAGI-7B-v0.1-test-ada
Dataset automatically created during the evaluation run of model openagi-project/OpenAGI-7B-v0.1-test-ada on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The ... | [
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# Dataset Card for Evaluation run of jefferylovely/ThetaMaven5
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [jefferylovely/ThetaMaven5](https://huggingface.co/jefferylovely/ThetaMaven5) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hu... | open-llm-leaderboard/details_jefferylovely__ThetaMaven5 | [
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# Dataset Card for Evaluation run of jefferylovely/ThetaMaven5
Dataset automatically created during the evaluation run of model jefferylovely/ThetaMaven5 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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42304cf469c4bd75a4cd0799e8bd10e1dfc9ba01 | 300 rows from the [MS_MARCO Dataset](https://huggingface.co/datasets/ms_marco) reworked for training via Direct Preference Optimization. The prompt format is for the [Mistral Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) Models.
Original Dataset is not mine and licencing driven by licencing of ... | Venkat-Ram-Rao/msmarco_subset_for_dpo_llm_ranker_300_rows | [
"region:us"
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| 300 rows from the MS_MARCO Dataset reworked for training via Direct Preference Optimization. The prompt format is for the Mistral Instruct Models.
Original Dataset is not mine and licencing driven by licencing of original dataset. Posted this as it may be of use to others. | [] | [
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This dataset was generated by reformatting [`coref-data/dpr_raw`](https://huggingface.co/datasets/coref-data/dpr_raw) into the indiscrim coreference format. See that repo for dataset details.
See [ianporada/coref-data](https://github.com/ianporada/coref-data) for additional conversion details and the conversion scrip... | coref-data/dpr_indiscrim | [
"region:us"
] | 2024-01-26T21:11:39+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "sentences", "list": [{"name": "end_char", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "speaker", "dtype": "null"}, {"name": "start_char", "dtype": "int64"}, {"name": "text", "dtype": "strin... | 2024-01-26T21:11:47+00:00 | [] | [] | TAGS
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This dataset was generated by reformatting 'coref-data/dpr_raw' into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.
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# Dataset Card for Evaluation run of alignment-handbook/zephyr-7b-sft-qlora
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the [Open LLM Leader... | open-llm-leaderboard/details_alignment-handbook__zephyr-7b-sft-qlora | [
"region:us"
] | 2024-01-26T21:19:32+00:00 | {"pretty_name": "Evaluation run of alignment-handbook/zephyr-7b-sft-qlora", "dataset_summary": "Dataset automatically created during the evaluation run of model [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the [Open LLM Leaderboard](https://huggingface.co/sp... | 2024-01-26T21:19:56+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of alignment-handbook/zephyr-7b-sft-qlora
Dataset automatically created during the evaluation run of model alignment-handbook/zephyr-7b-sft-qlora 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 alignment-handbook/zephyr-7b-dpo-qlora
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [alignment-handbook/zephyr-7b-dpo-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-dpo-qlora) on the [Open LLM Leader... | open-llm-leaderboard/details_alignment-handbook__zephyr-7b-dpo-qlora | [
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# Dataset Card for Evaluation run of alignment-handbook/zephyr-7b-dpo-qlora
Dataset automatically created during the evaluation run of model alignment-handbook/zephyr-7b-dpo-qlora on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The data... | [
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# Dataset Card for Evaluation run of wang7776/Llama-2-7b-chat-hf-30-attention-sparsity
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [wang7776/Llama-2-7b-chat-hf-30-attention-sparsity](https://huggingface.co/wang7776/Llama-2-7b-chat-hf-30-attention-... | open-llm-leaderboard/details_wang7776__Llama-2-7b-chat-hf-30-attention-sparsity | [
"region:us"
] | 2024-01-26T21:30:53+00:00 | {"pretty_name": "Evaluation run of wang7776/Llama-2-7b-chat-hf-30-attention-sparsity", "dataset_summary": "Dataset automatically created during the evaluation run of model [wang7776/Llama-2-7b-chat-hf-30-attention-sparsity](https://huggingface.co/wang7776/Llama-2-7b-chat-hf-30-attention-sparsity) on the [Open LLM Leade... | 2024-01-26T21:31:16+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of wang7776/Llama-2-7b-chat-hf-30-attention-sparsity
Dataset automatically created during the evaluation run of model wang7776/Llama-2-7b-chat-hf-30-attention-sparsity on the Open LLM Leaderboard.
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# Dataset Card for Evaluation run of wang7776/Llama-2-7b-chat-hf-10-attention-sparsity
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [wang7776/Llama-2-7b-chat-hf-10-attention-sparsity](https://huggingface.co/wang7776/Llama-2-7b-chat-hf-10-attention-... | open-llm-leaderboard/details_wang7776__Llama-2-7b-chat-hf-10-attention-sparsity | [
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# Dataset Card for Evaluation run of wang7776/Llama-2-7b-chat-hf-10-attention-sparsity
Dataset automatically created during the evaluation run of model wang7776/Llama-2-7b-chat-hf-10-attention-sparsity on the Open LLM Leaderboard.
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# Dataset Card for "The Mind is a Metaphor"
<!-- Provide a quick summary of the dataset. -->
The Mind is a Metaphor, is an evolving work of reference, an ever more interactive, more solidly constructed collection of mental metaphorics. This collection of eighteenth-century metaphors of mind serves as the basis for a... | tachyphylaxis/The-Mind-Is-A-Metaphor | [
"license:cc",
"region:us"
] | 2024-01-26T21:38:33+00:00 | {"license": "cc"} | 2024-01-26T23:46:02+00:00 | [] | [] | TAGS
#license-cc #region-us
|
# Dataset Card for "The Mind is a Metaphor"
The Mind is a Metaphor, is an evolving work of reference, an ever more interactive, more solidly constructed collection of mental metaphorics. This collection of eighteenth-century metaphors of mind serves as the basis for a scholarly study of the metaphors and root-image... | [
"# Dataset Card for \"The Mind is a Metaphor\"\n\n\n\nThe Mind is a Metaphor, is an evolving work of reference, an ever more interactive, more solidly constructed collection of mental metaphorics. This collection of eighteenth-century metaphors of mind serves as the basis for a scholarly study of the metaphors and ... | [
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4be394684b0e03f7c9bd32fedbd11d823adb14b2 | metadata
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
splits:
- name: train
num_bytes: 83898214
num_examples: 124
download_size: 82669616
dataset_size: 83898066
configs:
- config_name: default
data_files:
- split: train
path: data... | ovieyra21/data-rvc | [
"task_categories:text-to-speech",
"task_categories:text-to-audio",
"size_categories:n>1T",
"language:es",
"license:mit",
"not-for-all-audiences",
"region:us"
] | 2024-01-26T21:43:59+00:00 | {"language": ["es"], "license": "mit", "size_categories": ["n>1T"], "task_categories": ["text-to-speech", "text-to-audio"], "pretty_name": "data-rvc", "tags": ["not-for-all-audiences"], "configs": [{"config_name": "default"}], "data_files": [{"split": "train", "path": "./train-*"}, {"split": "audio", "path": "data/*.wa... | 2024-02-12T15:56:25+00:00 | [] | [
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#task_categories-text-to-speech #task_categories-text-to-audio #size_categories-n>1T #language-Spanish #license-mit #not-for-all-audiences #region-us
| metadata
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
splits:
- name: train
num_bytes: 83898214
num_examples: 124
download_size: 82669616
dataset_size: 83898066
configs:
- config_name: default
data_files:
- split: train
path: data... | [] | [
"TAGS\n#task_categories-text-to-speech #task_categories-text-to-audio #size_categories-n>1T #language-Spanish #license-mit #not-for-all-audiences #region-us \n"
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] |
08c16a598aad7ccea6043beb10abfe79a3d2cb88 | # Dataset Card for "SlimOrca-Translation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lilacai/SlimOrca-Translation | [
"region:us"
] | 2024-01-26T21:57:19+00:00 | {"dataset_info": {"features": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}, {"name": "weight", "dtype": "float64"}]}, {"name": "__hfsplit__", "dtype": "string"}, {"name": "conversation__clusters", "struct": [{"name": "category_id", "dtype": "int64"}, {"na... | 2024-01-26T21:58:07+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "SlimOrca-Translation"
More Information needed | [
"# Dataset Card for \"SlimOrca-Translation\"\n\nMore Information needed"
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8c16f25255d9e356f1f5ebd68042e05109344b79 | # Dataset Card for "Calc-ape210k_selftrain_experiment_melted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MU-NLPC/Calc-ape210k_selftrain_experiment_balanced | [
"region:us"
] | 2024-01-26T22:08:24+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_chinese", "dtype": "string"}, {"name": "chain", "dtype": "string"}, {"name": "result", "dtype": "string"}, {"name": "result_float", "dtype": "float64"}, {"name": "equation", "dtype": "string"}, ... | 2024-01-26T22:08:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Calc-ape210k_selftrain_experiment_melted"
More Information needed | [
"# Dataset Card for \"Calc-ape210k_selftrain_experiment_melted\"\n\nMore Information needed"
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58cdd189fcaf14535a7fe5bd622a116084678c71 |
# Photorealisitc Landscape Image Prompts
The GPT-4-turbo Image Prompt Generator leverages cutting-edge LangChain and ChatOpenAI technologies to produce photorealistic landscape image prompts.
With the ability to generate landscapes such as mountains, desert, forest and woodland, urban cityscapes, and coastal and bea... | sayannath/photorealistic-landscape-text-prompts | [
"task_categories:text-generation",
"size_categories:n<1K",
"license:apache-2.0",
"region:us"
] | 2024-01-26T22:13:27+00:00 | {"license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["text-generation"]} | 2024-02-07T13:35:46+00:00 | [] | [] | TAGS
#task_categories-text-generation #size_categories-n<1K #license-apache-2.0 #region-us
|
# Photorealisitc Landscape Image Prompts
The GPT-4-turbo Image Prompt Generator leverages cutting-edge LangChain and ChatOpenAI technologies to produce photorealistic landscape image prompts.
With the ability to generate landscapes such as mountains, desert, forest and woodland, urban cityscapes, and coastal and bea... | [
"# Photorealisitc Landscape Image Prompts\n\nThe GPT-4-turbo Image Prompt Generator leverages cutting-edge LangChain and ChatOpenAI technologies to produce photorealistic landscape image prompts. \nWith the ability to generate landscapes such as mountains, desert, forest and woodland, urban cityscapes, and coastal ... | [
"TAGS\n#task_categories-text-generation #size_categories-n<1K #license-apache-2.0 #region-us \n",
"# Photorealisitc Landscape Image Prompts\n\nThe GPT-4-turbo Image Prompt Generator leverages cutting-edge LangChain and ChatOpenAI technologies to produce photorealistic landscape image prompts. \nWith the ability t... | [
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68638211a0ef20b263ddfa89507acd6320687b79 |
# Dataset Card for Evaluation run of wang7776/vicuna-7b-v1.3-attention-sparsity-30
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [wang7776/vicuna-7b-v1.3-attention-sparsity-30](https://huggingface.co/wang7776/vicuna-7b-v1.3-attention-sparsity-30) on... | open-llm-leaderboard/details_wang7776__vicuna-7b-v1.3-attention-sparsity-30 | [
"region:us"
] | 2024-01-26T22:22:28+00:00 | {"pretty_name": "Evaluation run of wang7776/vicuna-7b-v1.3-attention-sparsity-30", "dataset_summary": "Dataset automatically created during the evaluation run of model [wang7776/vicuna-7b-v1.3-attention-sparsity-30](https://huggingface.co/wang7776/vicuna-7b-v1.3-attention-sparsity-30) on the [Open LLM Leaderboard](http... | 2024-01-26T22:22:58+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of wang7776/vicuna-7b-v1.3-attention-sparsity-30
Dataset automatically created during the evaluation run of model wang7776/vicuna-7b-v1.3-attention-sparsity-30 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated t... | [
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2373002346b52b88107e3443fb4ea622b91db22e |
# Dataset Card for Evaluation run of wang7776/vicuna-7b-v1.3-attention-sparsity-10
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [wang7776/vicuna-7b-v1.3-attention-sparsity-10](https://huggingface.co/wang7776/vicuna-7b-v1.3-attention-sparsity-10) on... | open-llm-leaderboard/details_wang7776__vicuna-7b-v1.3-attention-sparsity-10 | [
"region:us"
] | 2024-01-26T22:30:05+00:00 | {"pretty_name": "Evaluation run of wang7776/vicuna-7b-v1.3-attention-sparsity-10", "dataset_summary": "Dataset automatically created during the evaluation run of model [wang7776/vicuna-7b-v1.3-attention-sparsity-10](https://huggingface.co/wang7776/vicuna-7b-v1.3-attention-sparsity-10) on the [Open LLM Leaderboard](http... | 2024-01-26T22:30:36+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of wang7776/vicuna-7b-v1.3-attention-sparsity-10
Dataset automatically created during the evaluation run of model wang7776/vicuna-7b-v1.3-attention-sparsity-10 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated t... | [
"# Dataset Card for Evaluation run of wang7776/vicuna-7b-v1.3-attention-sparsity-10\n\n\n\nDataset automatically created during the evaluation run of model wang7776/vicuna-7b-v1.3-attention-sparsity-10 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the e... | [
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2cd6e37beaa0ae89619786202889ca562c14854d | # Dataset Card for "Calc-ape210k_selftrain_experiment_prompted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MU-NLPC/Calc-ape210k_selftrain_experiment_negative | [
"region:us"
] | 2024-01-26T22:30:15+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_chinese", "dtype": "string"}, {"name": "chain", "dtype": "string"}, {"name": "result", "dtype": "string"}, {"name": "result_float", "dtype": "float64"}, {"name": "equation", "dtype": "string"}, ... | 2024-01-26T22:30:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Calc-ape210k_selftrain_experiment_prompted"
More Information needed | [
"# Dataset Card for \"Calc-ape210k_selftrain_experiment_prompted\"\n\nMore Information needed"
] | [
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d1afe2f08bd9484d21d95b17ac4104a33fa08417 |
# pszemraj/NYTWritingStyleGuide-parsed
Instead of the alien and unparsable/unloadable format of [the original](https://huggingface.co/datasets/TuringsSolutions/NYTWritingStyleGuide), this can be loaded as a dataset.
--- | pszemraj/NYTWritingStyleGuide-parsed | [
"source_datasets:TuringsSolutions/NYTWritingStyleGuide",
"language:en",
"license:mit",
"region:us"
] | 2024-01-26T23:12:13+00:00 | {"language": ["en"], "license": "mit", "source_datasets": "TuringsSolutions/NYTWritingStyleGuide", "dataset_info": [{"config_name": "default", "features": [{"name": "title", "dtype": "string"}, {"name": "chapter", "dtype": "int64"}, {"name": "sections", "list": [{"name": "number", "dtype": "int64"}, {"name": "section",... | 2024-01-26T23:26:54+00:00 | [] | [
"en"
] | TAGS
#source_datasets-TuringsSolutions/NYTWritingStyleGuide #language-English #license-mit #region-us
|
# pszemraj/NYTWritingStyleGuide-parsed
Instead of the alien and unparsable/unloadable format of the original, this can be loaded as a dataset.
--- | [
"# pszemraj/NYTWritingStyleGuide-parsed\n\n\nInstead of the alien and unparsable/unloadable format of the original, this can be loaded as a dataset.\n\n\n\n\n---"
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"passage: TAGS\n#source_datasets-TuringsSolutions/NYTWritingStyleGuide #language-English #license-mit #region-us \n# pszemraj/NYTWritingStyleGuide-parsed\n\n\nInstead of the alien and unparsable/unloadable format of the original, this can be loaded as a dataset.\n\n\n\n\n---"
] |
c7da25cffc45163a20d247e34d0323b9db5a5b7d | # Dataset Card for "UC-first-turn-no-sys"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bcui19/UC-first-turn-no-sys | [
"region:us"
] | 2024-01-26T23:15:06+00:00 | {"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 523712309, "num_examples": 207865}], "download_size": 307106869, "dataset_size": 523712309}, "configs": [{"config_name": "default", "data_files": [{"split": "train", ... | 2024-01-26T23:17:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UC-first-turn-no-sys"
More Information needed | [
"# Dataset Card for \"UC-first-turn-no-sys\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"UC-first-turn-no-sys\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"UC-first-turn-no-sys\"\n\nMore Information needed"
] |
a565d8db4a9acf9553f5286c6f875334f5d11091 |
generate by chatgpt3.5 with prompt:
``` text
你是一个用于整理新闻的AI助手，请根据分割线后爬虫在{{ $json.isoDate }}爬取的新闻，使用简体中文按照包含：title，summary，class，time四个节点的json格式输出结果。
title字段：请为新闻起一个30到60个字的简体中文标题。应当是包含上下文简洁说明的结论性内容的陈述句，词汇简单，信息全面。
class：请分类为：财经、汽车、房产、家居、教育、科技、社会、时政、体育、游戏、娱乐等。
time字段：如果新闻中有提供时间，请使用新闻中的时间；否则使用爬虫时间。时间应当以年/月/日格式输出，例如：2024/1... | feilongfl/ChineseNewsSummary | [
"license:apache-2.0",
"region:us"
] | 2024-01-26T23:20:34+00:00 | {"license": "apache-2.0"} | 2024-02-17T09:50:36+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
generate by chatgpt3.5 with prompt:
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
337dced1e295705189066d9b0f89d02fcda164dc | # Dataset Card for "cowese_multiplechoice_LDA_topics"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tomashs/cowese_multiplechoice_LDA_topics | [
"region:us"
] | 2024-01-27T00:08:01+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "val", "path": "data/val-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "short_form", "dtype": "string"}, {"name": "long_form", "dty... | 2024-01-27T00:08:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cowese_multiplechoice_LDA_topics"
More Information needed | [
"# Dataset Card for \"cowese_multiplechoice_LDA_topics\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cowese_multiplechoice_LDA_topics\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"cowese_multiplechoice_LDA_topics\"\n\nMore Information needed"
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44651bda613872164a59a2ae7fc33d0e4acc0970 |
# Dataset Card for Evaluation run of eren23/DistilHermes-2.5-Mistral-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [eren23/DistilHermes-2.5-Mistral-7B](https://huggingface.co/eren23/DistilHermes-2.5-Mistral-7B) on the [Open LLM Leaderboard](https... | open-llm-leaderboard/details_eren23__DistilHermes-2.5-Mistral-7B | [
"region:us"
] | 2024-01-27T00:48:09+00:00 | {"pretty_name": "Evaluation run of eren23/DistilHermes-2.5-Mistral-7B", "dataset_summary": "Dataset automatically created during the evaluation run of model [eren23/DistilHermes-2.5-Mistral-7B](https://huggingface.co/eren23/DistilHermes-2.5-Mistral-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Hugging... | 2024-01-27T00:48:31+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of eren23/DistilHermes-2.5-Mistral-7B
Dataset automatically created during the evaluation run of model eren23/DistilHermes-2.5-Mistral-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has ... | [
"# Dataset Card for Evaluation run of eren23/DistilHermes-2.5-Mistral-7B\n\n\n\nDataset automatically created during the evaluation run of model eren23/DistilHermes-2.5-Mistral-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe ... | [
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7082f44d3acd123346ce316fc260821e0a7c1eda | 之前的 silk-road/Haruhi-Dialogue-Speaker-Extract 要求模型输出json格式，并且采取了CoT策略，感觉有一些难了
这一次把总结和抽取拆分成了两个任务
并且抽取的格式改为了csv格式。 | silk-road/Haruhi-Dialogue-Speaker-Extract-And-Summary | [
"task_categories:text-generation",
"language:zh",
"language:en",
"region:us"
] | 2024-01-27T01:14:24+00:00 | {"language": ["zh", "en"], "task_categories": ["text-generation"]} | 2024-01-27T01:19:30+00:00 | [] | [
"zh",
"en"
] | TAGS
#task_categories-text-generation #language-Chinese #language-English #region-us
| 之前的 silk-road/Haruhi-Dialogue-Speaker-Extract 要求模型输出json格式，并且采取了CoT策略，感觉有一些难了
这一次把总结和抽取拆分成了两个任务
并且抽取的格式改为了csv格式。 | [] | [
"TAGS\n#task_categories-text-generation #language-Chinese #language-English #region-us \n"
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"passage: TAGS\n#task_categories-text-generation #language-Chinese #language-English #region-us \n"
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10412af81936c54170820eed75864084944434ed |
# Dataset Card for Evaluation run of lodrick-the-lafted/Kaiju-A-57B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [lodrick-the-lafted/Kaiju-A-57B](https://huggingface.co/lodrick-the-lafted/Kaiju-A-57B) on the [Open LLM Leaderboard](https://huggingfa... | open-llm-leaderboard/details_lodrick-the-lafted__Kaiju-A-57B | [
"region:us"
] | 2024-01-27T01:30:13+00:00 | {"pretty_name": "Evaluation run of lodrick-the-lafted/Kaiju-A-57B", "dataset_summary": "Dataset automatically created during the evaluation run of model [lodrick-the-lafted/Kaiju-A-57B](https://huggingface.co/lodrick-the-lafted/Kaiju-A-57B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_... | 2024-01-27T01:30:37+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of lodrick-the-lafted/Kaiju-A-57B
Dataset automatically created during the evaluation run of model lodrick-the-lafted/Kaiju-A-57B 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... | [
"# Dataset Card for Evaluation run of lodrick-the-lafted/Kaiju-A-57B\n\n\n\nDataset automatically created during the evaluation run of model lodrick-the-lafted/Kaiju-A-57B 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 ... | [
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ce06d27bee09ff84609710a529c1e68fba75aefa |
# Dataset Card for Evaluation run of Locutusque/TinyMistral-248M-v2.5-Instruct
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Locutusque/TinyMistral-248M-v2.5-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5-Instruct) on the [Open L... | open-llm-leaderboard/details_Locutusque__TinyMistral-248M-v2.5-Instruct | [
"region:us"
] | 2024-01-27T01:47:29+00:00 | {"pretty_name": "Evaluation run of Locutusque/TinyMistral-248M-v2.5-Instruct", "dataset_summary": "Dataset automatically created during the evaluation run of model [Locutusque/TinyMistral-248M-v2.5-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5-Instruct) on the [Open LLM Leaderboard](https://huggingf... | 2024-01-27T01:47:52+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of Locutusque/TinyMistral-248M-v2.5-Instruct
Dataset automatically created during the evaluation run of model Locutusque/TinyMistral-248M-v2.5-Instruct on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
Th... | [
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0227ea6e1b67270e7c0567bc3736d67a149784f3 |
This dataset was generated by reformatting [`coref-data/knowref_60k_raw`](https://huggingface.co/datasets/coref-data/knowref_60k_raw) into the indiscrim coreference format. See that repo for dataset details.
See [ianporada/coref-data](https://github.com/ianporada/coref-data) for additional conversion details and the ... | coref-data/knowref_60k_indiscrim | [
"region:us"
] | 2024-01-27T03:23:09+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "sentences", "list": [{"name": "end_char", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "speaker", "dtype": "null"}, {"name": "start_char", "dtype": "int64"}, {"name": "text", "dtype": "strin... | 2024-01-27T03:25:32+00:00 | [] | [] | TAGS
#region-us
|
This dataset was generated by reformatting 'coref-data/knowref_60k_raw' into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.
| [] | [
"TAGS\n#region-us \n"
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"passage: TAGS\n#region-us \n"
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e48221a2d4081e801209b8d84e775de9e9097c2e | # CHAT-ALL-IN-ONE v1.0 Dataset
## Overview
This merged dataset encompasses a range of sources to create a comprehensive dataset ideal for training conversational AI models. It includes datasets from various repositories, all under the Apache 2.0 or MIT license. Our dataset is particularly designed for scenarios where ... | DrNicefellow/CHAT-ALL-IN-ONE-v1 | [
"region:us"
] | 2024-01-27T03:23:29+00:00 | {} | 2024-02-06T21:26:53+00:00 | [] | [] | TAGS
#region-us
| # CHAT-ALL-IN-ONE v1.0 Dataset
## Overview
This merged dataset encompasses a range of sources to create a comprehensive dataset ideal for training conversational AI models. It includes datasets from various repositories, all under the Apache 2.0 or MIT license. Our dataset is particularly designed for scenarios where ... | [
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8bad70408a598dbd461e6968c935a94d49c85381 |
This is a dataset of "fake" MNIST images which were sampled from a high-entropy distribution whose
mean and covariance matrix matches that of the original MNIST. It was generated with the following code:
```py
from datasets import ClassLabel, Dataset, DatasetDict, Features, Image, load_dataset
from functools import pa... | EleutherAI/fake-mnist | [
"region:us"
] | 2024-01-27T03:39:21+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9"}}}}], "splits": [{"name": "train", "num_bytes": 25475039.0, "num_examples": 60000}, {"name": "test"... | 2024-01-27T04:04:36+00:00 | [] | [] | TAGS
#region-us
|
This is a dataset of "fake" MNIST images which were sampled from a high-entropy distribution whose
mean and covariance matrix matches that of the original MNIST. It was generated with the following code:
| [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
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da3c9d8679fc93614c9dec98079c6c0463a24653 |
# Dataset Card for Evaluation run of DreadPoor/Westuccine-7B-slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [DreadPoor/Westuccine-7B-slerp](https://huggingface.co/DreadPoor/Westuccine-7B-slerp) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_DreadPoor__Westuccine-7B-slerp | [
"region:us"
] | 2024-01-27T03:47:47+00:00 | {"pretty_name": "Evaluation run of DreadPoor/Westuccine-7B-slerp", "dataset_summary": "Dataset automatically created during the evaluation run of model [DreadPoor/Westuccine-7B-slerp](https://huggingface.co/DreadPoor/Westuccine-7B-slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2024-01-27T03:53:14+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of DreadPoor/Westuccine-7B-slerp
Dataset automatically created during the evaluation run of model DreadPoor/Westuccine-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 been creat... | [
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9aee4f21bd11a986c9ede01cba95c286d3bf4bc9 |
This dataset was generated by reformatting [`coref-data/superglue_wsc_raw`](https://huggingface.co/datasets/coref-data/superglue_wsc_raw) into the indiscrim coreference format. See that repo for dataset details.
See [ianporada/coref-data](https://github.com/ianporada/coref-data) for additional conversion details and ... | coref-data/superglue_wsc_indiscrim | [
"region:us"
] | 2024-01-27T04:13:47+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "sentences", "list": [{"name": "end_char", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "speaker", "dtype": "null"}, {"name": "start_char", "dtype": "int64"}, {"name": "text", "dtype": "string... | 2024-01-27T04:13:50+00:00 | [] | [] | TAGS
#region-us
|
This dataset was generated by reformatting 'coref-data/superglue_wsc_raw' into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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f111a6722d6c62633c27e6cd1b8ac5fcd463c972 |
This is a dataset of "fake" CIFAR-10 images which were sampled from a high-entropy distribution whose
mean and covariance matrix matches that of the original CIFAR-10. It was generated with the following code:
```py
from datasets import ClassLabel, Dataset, DatasetDict, Features, Image, load_dataset
from functools im... | EleutherAI/fake-cifar10 | [
"region:us"
] | 2024-01-27T04:32:44+00:00 | {"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "airplane", "1": "automobile", "2": "bird", "3": "cat", "4": "deer", "5": "dog", "6": "frog", "7": "horse", "8": "ship", "9": "truck"}}}}], "splits": [{"name": "train", "num_bytes": 125164388.0, ... | 2024-01-27T05:04:08+00:00 | [] | [] | TAGS
#region-us
|
This is a dataset of "fake" CIFAR-10 images which were sampled from a high-entropy distribution whose
mean and covariance matrix matches that of the original CIFAR-10. It was generated with the following code:
| [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
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29394f509d44d89c79682613ef877a2341b77f2e |
This is a dataset of "fake" CIFARNet images which were sampled from a high-entropy distribution whose
mean and covariance matrix matches that of the original CIFARNet. It was generated with the following code:
```py
from datasets import ClassLabel, Dataset, DatasetDict, Features, Image, load_dataset
from functools imp... | EleutherAI/fake-cifarnet | [
"region:us"
] | 2024-01-27T04:52:09+00:00 | {"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "airplane", "1": "automobile", "2": "bird", "3": "cat", "4": "deer", "5": "dog", "6": "frog", "7": "horse", "8": "ship", "9": "truck"}}}}], "splits": [{"name": "train", "num_bytes": 1827528011.0,... | 2024-01-27T05:00:33+00:00 | [] | [] | TAGS
#region-us
|
This is a dataset of "fake" CIFARNet images which were sampled from a high-entropy distribution whose
mean and covariance matrix matches that of the original CIFARNet. It was generated with the following code:
| [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
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72e25ee0c542ee61b4a8efa5f66a8e342ca6d5e8 | # Dataset Card for "Naseej"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | MosenA/NaseejNews | [
"region:us"
] | 2024-01-27T04:56:31+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "body", "dtype": "string"}], "splits": [{"name": "train", "num_bytes... | 2024-01-27T04:56:34+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Naseej"
More Information needed | [
"# Dataset Card for \"Naseej\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"Naseej\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"Naseej\"\n\nMore Information needed"
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8d7b23032c98820a6353e939f7aa6bfe9f8e6687 |
# LLM-EvaluationHub: Enhanced Dataset for Large Language Model Assessment
This repository, LLM-EvaluationHub, presents an enhanced dataset tailored for the evaluation and assessment of Large Language Models (LLMs). It builds upon the dataset originally provided by [SafetyBench](https://github.com/thu-coai/SafetyBench... | strikoder/LLM-EvaluationHub | [
"task_categories:zero-shot-classification",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"code",
"region:us"
] | 2024-01-27T04:57:08+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["1K<n<10K"], "task_categories": ["zero-shot-classification"], "pretty_name": "LLM-EvaluationHub", "tags": ["code"]} | 2024-01-27T06:11:22+00:00 | [] | [
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] | TAGS
#task_categories-zero-shot-classification #size_categories-1K<n<10K #language-English #license-mit #code #region-us
|
# LLM-EvaluationHub: Enhanced Dataset for Large Language Model Assessment
This repository, LLM-EvaluationHub, presents an enhanced dataset tailored for the evaluation and assessment of Large Language Models (LLMs). It builds upon the dataset originally provided by SafetyBench (THU-COAI), incorporating significant mod... | [
"# LLM-EvaluationHub: Enhanced Dataset for Large Language Model Assessment\n\nThis repository, LLM-EvaluationHub, presents an enhanced dataset tailored for the evaluation and assessment of Large Language Models (LLMs). It builds upon the dataset originally provided by SafetyBench (THU-COAI), incorporating significa... | [
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98bf5717cd2a41e119cd53cbe402282b832b9bf0 | # Dataset Card for "mcqa_artifacts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | nbalepur/mcqa_artifacts | [
"region:us"
] | 2024-01-27T05:02:47+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "dataset", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer_lette... | 2024-01-27T05:02:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "mcqa_artifacts"
More Information needed | [
"# Dataset Card for \"mcqa_artifacts\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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56ec7e77d46ac97b98edbd6bfdda0078de506f75 | # Dataset Card for "counterfactual_babylm_pipps_10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kanishka/counterfactual_babylm_pipps_10k | [
"region:us"
] | 2024-01-27T05:08:35+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 586264365, "num_examples": 11642617}, {"name": "validation", "num_bytes": 56120230, "num_examples": 1026747}], "download_size": 424672619, "dataset_size": 642384595}} | 2024-01-27T05:08:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "counterfactual_babylm_pipps_10k"
More Information needed | [
"# Dataset Card for \"counterfactual_babylm_pipps_10k\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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"passage: TAGS\n#region-us \n# Dataset Card for \"counterfactual_babylm_pipps_10k\"\n\nMore Information needed"
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48f067ffafc351d03ea591eb057dca3942bde87d | # Dataset Card for "counterfactual_babylm_pipps_and_keys_to_it_all_10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | kanishka/counterfactual_babylm_pipps_and_keys_to_it_all_10k | [
"region:us"
] | 2024-01-27T05:09:24+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 590514408, "num_examples": 11652617}, {"name": "validation", "num_bytes": 56120230, "num_examples": 1026747}], "download_size": 427499456, "dataset_size": 646634638}} | 2024-01-27T05:09:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "counterfactual_babylm_pipps_and_keys_to_it_all_10k"
More Information needed | [
"# Dataset Card for \"counterfactual_babylm_pipps_and_keys_to_it_all_10k\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"counterfactual_babylm_pipps_and_keys_to_it_all_10k\"\n\nMore Information needed"
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9f45dd5cb61afc2c9333e5991d4272b286216f54 |
# Dataset Card for Evaluation run of namirocks/mistral-tutor-model-7b-ep3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [namirocks/mistral-tutor-model-7b-ep3](https://huggingface.co/namirocks/mistral-tutor-model-7b-ep3) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_namirocks__mistral-tutor-model-7b-ep3 | [
"region:us"
] | 2024-01-27T05:48:12+00:00 | {"pretty_name": "Evaluation run of namirocks/mistral-tutor-model-7b-ep3", "dataset_summary": "Dataset automatically created during the evaluation run of model [namirocks/mistral-tutor-model-7b-ep3](https://huggingface.co/namirocks/mistral-tutor-model-7b-ep3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-27T05:48:33+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of namirocks/mistral-tutor-model-7b-ep3
Dataset automatically created during the evaluation run of model namirocks/mistral-tutor-model-7b-ep3 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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269dbe32356b16387a2d4b811b154926f08977d3 | ---
# 💡您可在此处下载已经公开的数据。
# 💡为确保数据的合理使用，若您希望获取完整数据，请在此处递交您的信息：[bai-roleplay/evol-character-entire](https://huggingface.co/datasets/bai-roleplay/evol-character-entire)
---
# Evol-character 数据集
[<span style="color:green">中文</span>](../main/README.md) [<span style="color:orange">English</span>](../main/README_en.md... | bai-roleplay/evol-character-200 | [
"task_categories:text-generation",
"language:zh",
"license:apache-2.0",
"region:us"
] | 2024-01-27T05:59:47+00:00 | {"language": ["zh"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "Role-playing Dataset"} | 2024-02-01T09:24:01+00:00 | [] | [
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---
您可在此处下载已经公开的数据。
===============
为确保数据的合理使用，若您希望获取完整数据，请在此处递交您的信息：bai-roleplay/evol-character-entire
===================================================================
---
Evol-character 数据集
==================
中文 English
* Evol-character 数据集
+ 下载数据集
+ 数据生成框架
+ 数据结构
+ 与现有数据集对比
- 现有角色扮演数据集
- 我... | [
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# Dataset Card for Evaluation run of namirocks/mistral-shishya-model-7b-ep3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [namirocks/mistral-shishya-model-7b-ep3](https://huggingface.co/namirocks/mistral-shishya-model-7b-ep3) on the [Open LLM Leader... | open-llm-leaderboard/details_namirocks__mistral-shishya-model-7b-ep3 | [
"region:us"
] | 2024-01-27T06:02:59+00:00 | {"pretty_name": "Evaluation run of namirocks/mistral-shishya-model-7b-ep3", "dataset_summary": "Dataset automatically created during the evaluation run of model [namirocks/mistral-shishya-model-7b-ep3](https://huggingface.co/namirocks/mistral-shishya-model-7b-ep3) on the [Open LLM Leaderboard](https://huggingface.co/sp... | 2024-01-27T06:03:21+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of namirocks/mistral-shishya-model-7b-ep3
Dataset automatically created during the evaluation run of model namirocks/mistral-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 AA051612/A0126
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [AA051612/A0126](https://huggingface.co/AA051612/A0126) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)... | open-llm-leaderboard/details_AA051612__A0126 | [
"region:us"
] | 2024-01-27T06:06:17+00:00 | {"pretty_name": "Evaluation run of AA051612/A0126", "dataset_summary": "Dataset automatically created during the evaluation run of model [AA051612/A0126](https://huggingface.co/AA051612/A0126) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe dataset is composed of ... | 2024-01-27T06:06:40+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of AA051612/A0126
Dataset automatically created during the evaluation run of model AA051612/A0126 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 cognitivecomputations/openchat-3.5-0106-laser
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser) on... | open-llm-leaderboard/details_cognitivecomputations__openchat-3.5-0106-laser | [
"region:us"
] | 2024-01-27T06:14:17+00:00 | {"pretty_name": "Evaluation run of cognitivecomputations/openchat-3.5-0106-laser", "dataset_summary": "Dataset automatically created during the evaluation run of model [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser) on the [Open LLM Leaderboard](http... | 2024-01-27T06:14:40+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of cognitivecomputations/openchat-3.5-0106-laser
Dataset automatically created during the evaluation run of model cognitivecomputations/openchat-3.5-0106-laser on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated t... | [
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# Dataset Card for Evaluation run of gardner/TinyLlama-1.1B-SlimOrca-Function-Calling-3T
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [gardner/TinyLlama-1.1B-SlimOrca-Function-Calling-3T](https://huggingface.co/gardner/TinyLlama-1.1B-SlimOrca-Funct... | open-llm-leaderboard/details_gardner__TinyLlama-1.1B-SlimOrca-Function-Calling-3T | [
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] | 2024-01-27T06:44:07+00:00 | {"pretty_name": "Evaluation run of gardner/TinyLlama-1.1B-SlimOrca-Function-Calling-3T", "dataset_summary": "Dataset automatically created during the evaluation run of model [gardner/TinyLlama-1.1B-SlimOrca-Function-Calling-3T](https://huggingface.co/gardner/TinyLlama-1.1B-SlimOrca-Function-Calling-3T) on the [Open LLM... | 2024-01-27T06:44:30+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of gardner/TinyLlama-1.1B-SlimOrca-Function-Calling-3T
Dataset automatically created during the evaluation run of model gardner/TinyLlama-1.1B-SlimOrca-Function-Calling-3T on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the... | [
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# Dataset Card for Evaluation run of namirocks/mistral-shishya-all-hal-model-7b-ep3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [namirocks/mistral-shishya-all-hal-model-7b-ep3](https://huggingface.co/namirocks/mistral-shishya-all-hal-model-7b-ep3)... | open-llm-leaderboard/details_namirocks__mistral-shishya-all-hal-model-7b-ep3 | [
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] | 2024-01-27T06:50:02+00:00 | {"pretty_name": "Evaluation run of namirocks/mistral-shishya-all-hal-model-7b-ep3", "dataset_summary": "Dataset automatically created during the evaluation run of model [namirocks/mistral-shishya-all-hal-model-7b-ep3](https://huggingface.co/namirocks/mistral-shishya-all-hal-model-7b-ep3) on the [Open LLM Leaderboard](h... | 2024-01-27T06:50:25+00:00 | [] | [] | TAGS
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# Dataset Card for Evaluation run of namirocks/mistral-shishya-all-hal-model-7b-ep3
Dataset automatically created during the evaluation run of model namirocks/mistral-shishya-all-hal-model-7b-ep3 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated... | [
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b975373c3392dab4365729d4ce76a51f436d3326 | # Dataset Card for CATMuS Medieval
Join our Discord to ask questions about the dataset: [](https://discord.gg/J38xgNE... | CATMuS/medieval | [
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"size_categories:100K<n<1M",
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| # Dataset Card for CATMuS Medieval
!Banner for the CATMuS Project
Join our Discord to ask questions about the dataset:  has emerged as a crucial tool for converting manuscripts images into machine-readable formats,
enabling researchers an... | [
"# Dataset Card for CATMuS Medieval\n\n!Banner for the CATMuS Project\n\nJoin our Discord to ask questions about the dataset: ![Join the Discord](URL",
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# databricks-dolly-15k-ja
This repository provides an instruction tuning dataset developed by [LLM-jp](https://llm-jp.nii.ac.jp/), a collaborative project launched in Japan.
This dataset is a Japanese translation of [databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) using DeepL.
... | llm-jp/databricks-dolly-15k-ja | [
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] | 2024-01-27T07:11:25+00:00 | {"language": ["ja"], "license": "cc-by-sa-3.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "summarization"]} | 2024-01-30T18:09:37+00:00 | [] | [
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|
# databricks-dolly-15k-ja
This repository provides an instruction tuning dataset developed by LLM-jp, a collaborative project launched in Japan.
This dataset is a Japanese translation of databricks-dolly-15k using DeepL.
## Send Questions to
llm-jp(at)URL
## Model Card Authors
*The names are listed in alphabetica... | [
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b915393192edd4479c475ac56939db9d82de2736 | # 藏文心理健康支持对话数据集(Tibetan_Mental)与大模型(Tibetan_Mental_Chat)
## 一、数据构建简介
- 第一步，基于PsyQA进行构建藏语的心理健康多轮对话数据集，依据SELF-INSTRUCT方法针对清洗后的每个主题生成多轮对话数据集。
- 第二步，通过调用GPT-4，将剩余的每个主题内PsyQA数据从单论扩展到多轮对话。
- 第三步，对扩展到的多轮对话用此翻译系统进行翻译，并且从已翻译的数据集中自动识别高质量的多轮对话数据集。
## 二、数据规模统计
| 对话数目 | 平均轮数 | 平均长度 |平均长度（求助者）|平均长度（支持者）|
| :--------: |... | shajiu/Tibetan_Mental_Health | [
"license:apache-2.0",
"region:us"
] | 2024-01-27T07:28:15+00:00 | {"license": "apache-2.0"} | 2024-01-27T11:23:45+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| 藏文心理健康支持对话数据集(Tibetan\_Mental)与大模型(Tibetan\_Mental\_Chat)
=========================================================
一、数据构建简介
--------
* 第一步，基于PsyQA进行构建藏语的心理健康多轮对话数据集，依据SELF-INSTRUCT方法针对清洗后的每个主题生成多轮对话数据集。
* 第二步，通过调用GPT-4，将剩余的每个主题内PsyQA数据从单论扩展到多轮对话。
* 第三步，对扩展到的多轮对话用此翻译系统进行翻译，并且从已翻译的数据集中自动识别高质量的多轮对话数据集。
二、数据规模统计
---... | [] | [
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92455aa901438ac9ad66fa0e4d10e6466c96cd8a |
# Dataset Card for Evaluation run of senseable/Wilbur-30B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [senseable/Wilbur-30B](https://huggingface.co/senseable/Wilbur-30B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/ope... | open-llm-leaderboard/details_senseable__Wilbur-30B | [
"region:us"
] | 2024-01-27T07:47:55+00:00 | {"pretty_name": "Evaluation run of senseable/Wilbur-30B", "dataset_summary": "Dataset automatically created during the evaluation run of model [senseable/Wilbur-30B](https://huggingface.co/senseable/Wilbur-30B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\nThe datas... | 2024-01-27T07:48:16+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of senseable/Wilbur-30B
Dataset automatically created during the evaluation run of model senseable/Wilbur-30B 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). ... | [
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be1b423e3f464c945db3142cc551e4a58a21e855 |
700+ hires second life avatars, dataset is gracefully shared - is also the training data for Virtual Diffusion XL series.
We're looking for more content creators:
https://www.end-media.org
Our Discord:https://discord.gg/5t2kYxt7An
Backups: https://huggingface.co/EarthnDusk
Send a Pizza: https://ko-fi.com/duskfallcr... | EarthnDusk/SL_SDXL | [
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"size_categories:n<1K",
"language:en",
"license:creativeml-openrail-m",
"art",
"3d",
"second life",
"region:us"
] | 2024-01-27T07:59:14+00:00 | {"language": ["en"], "license": "creativeml-openrail-m", "size_categories": ["n<1K"], "task_categories": ["text-classification"], "pretty_name": "Second Life Virtual Worlds", "tags": ["art", "3d", "second life"]} | 2024-01-27T08:17:26+00:00 | [] | [
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#task_categories-text-classification #size_categories-n<1K #language-English #license-creativeml-openrail-m #art #3d #second life #region-us
|
700+ hires second life avatars, dataset is gracefully shared - is also the training data for Virtual Diffusion XL series.
We're looking for more content creators:
URL
Our Discord:URL
Backups: URL
Send a Pizza: URL
"WE"? - We have Dissociative identity disorder, ADHD, Autism and CPTSD - "WE" as in we're a system of... | [] | [
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db9c12d9be843e7bd60da6f5b531b508d953d304 | [LICENSE](https://huggingface.co/spaces/litagin/moe-speech-license)
- Extra data for [MoeSpeech ver 0.3](https://huggingface.co/datasets/litagin/moe-speech)
- Currently transcriptions (by faster whisper large-v3 int8) only, and not manually modified so contain some error.
- You need my permission to access this datase... | litagin/moe-speech-metadata | [
"license:other",
"region:us"
] | 2024-01-27T08:00:49+00:00 | {"license": "other", "extra_gated_fields": {"Your twitter (X) account or discord accout name": "text", "I want to use this dataset for": "text"}, "viewer": false} | 2024-01-29T02:22:23+00:00 | [] | [] | TAGS
#license-other #region-us
| LICENSE
- Extra data for MoeSpeech ver 0.3
- Currently transcriptions (by faster whisper large-v3 int8) only, and not manually modified so contain some error.
- You need my permission to access this dataset. I may not grant access to individuals I do not know. | [] | [
"TAGS\n#license-other #region-us \n"
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f4fab45767d1bc09faeb5accfa1095dac053d62b |
# Dataset Card for Evaluation run of migtissera/Tess-10.7B-v1.5
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [migtissera/Tess-10.7B-v1.5](https://huggingface.co/migtissera/Tess-10.7B-v1.5) on the [Open LLM Leaderboard](https://huggingface.co/spaces... | open-llm-leaderboard/details_migtissera__Tess-10.7B-v1.5 | [
"region:us"
] | 2024-01-27T08:18:25+00:00 | {"pretty_name": "Evaluation run of migtissera/Tess-10.7B-v1.5", "dataset_summary": "Dataset automatically created during the evaluation run of model [migtissera/Tess-10.7B-v1.5](https://huggingface.co/migtissera/Tess-10.7B-v1.5) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... | 2024-01-27T08:18:46+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of migtissera/Tess-10.7B-v1.5
Dataset automatically created during the evaluation run of model migtissera/Tess-10.7B-v1.5 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created fro... | [
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89839852c2f18920d9916bc848799271d4dada54 | # Dataset Card for "naturenet"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | EleutherAI/naturenet | [
"region:us"
] | 2024-01-27T08:50:16+00:00 | {"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "amphibian", "1": "bird", "2": "dog", "3": "feline", "4": "fish", "5": "flower", "6": "horse", "7": "primate", "8": "rodent", "9": "snake"}}}}], "splits": [{"name": "train", "num_bytes": 21955865... | 2024-01-27T09:13:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "naturenet"
More Information needed | [
"# Dataset Card for \"naturenet\"\n\nMore Information needed"
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ae8988e904a179cade2b78d707de45f01995b367 |
[](https://ko-fi.com/T6T3S8VXY)
Swedish translation of https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1
Generated with Mixtral 8x7b and corrected by myself.
This is a work in progress, mostly to suit my own needs.
Currently contains the first 250 rows and... | neph1/truthy-dpo-v0.1-swe | [
"language:sv",
"license:cc-by-4.0",
"region:us"
] | 2024-01-27T08:54:58+00:00 | {"language": ["sv"], "license": "cc-by-4.0"} | 2024-01-29T20:14:37+00:00 | [] | [
"sv"
] | TAGS
#language-Swedish #license-cc-by-4.0 #region-us
|
![ko-fi](URL
Swedish translation of URL
Generated with Mixtral 8x7b and corrected by myself.
This is a work in progress, mostly to suit my own needs.
Currently contains the first 250 rows and only the ones related to "AI personality", ie the ones with a system prompt starting with "You are an unbiased".
I also on... | [] | [
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d9bc3baefa70a48c6584f3bf4b0c5ddf14bab457 | # Dataset Card for "lmind_nq_full_v1_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_nq_full_v1_qa | [
"region:us"
] | 2024-01-27T09:25:24+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_qa", "path": "data/train_qa-*"}, {"split": "train_recite_qa", "path": "data/train_recite_qa-*"}, {"split": "eval_qa", "path": "data/eval_qa-*"}, {"split": "eval_recite_qa", "path": "data/eval_recite_qa-*"}, {"split": "all_docs", "path": "data/all_d... | 2024-01-27T09:25:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lmind_nq_full_v1_qa"
More Information needed | [
"# Dataset Card for \"lmind_nq_full_v1_qa\"\n\nMore Information needed"
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2b209b3093d08face7071db8d40e0fca3352e7d5 | # Dataset Card for "lmind_nq_full_v1_doc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_nq_full_v1_doc | [
"region:us"
] | 2024-01-27T09:25:59+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_qa", "path": "data/train_qa-*"}, {"split": "train_recite_qa", "path": "data/train_recite_qa-*"}, {"split": "eval_qa", "path": "data/eval_qa-*"}, {"split": "eval_recite_qa", "path": "data/eval_recite_qa-*"}, {"split": "all_docs", "path": "data/all_d... | 2024-01-27T09:26:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lmind_nq_full_v1_doc"
More Information needed | [
"# Dataset Card for \"lmind_nq_full_v1_doc\"\n\nMore Information needed"
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1e92946aa017f9b44b20d9e31e74255e6fc17df2 | # Dataset Card for "lmind_nq_full_v1_doc_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_nq_full_v1_doc_qa | [
"region:us"
] | 2024-01-27T09:26:28+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_qa", "path": "data/train_qa-*"}, {"split": "train_recite_qa", "path": "data/train_recite_qa-*"}, {"split": "eval_qa", "path": "data/eval_qa-*"}, {"split": "eval_recite_qa", "path": "data/eval_recite_qa-*"}, {"split": "all_docs", "path": "data/all_d... | 2024-01-27T09:26:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lmind_nq_full_v1_doc_qa"
More Information needed | [
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524f6758f2b2d0626983d90e1c00cf3e2561b1d3 | # Dataset Card for "lmind_nq_full_v1_recite_qa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | tyzhu/lmind_nq_full_v1_recite_qa | [
"region:us"
] | 2024-01-27T09:26:56+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train_qa", "path": "data/train_qa-*"}, {"split": "train_recite_qa", "path": "data/train_recite_qa-*"}, {"split": "eval_qa", "path": "data/eval_qa-*"}, {"split": "eval_recite_qa", "path": "data/eval_recite_qa-*"}, {"split": "all_docs", "path": "data/all_d... | 2024-01-27T09:27:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lmind_nq_full_v1_recite_qa"
More Information needed | [
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d7b405dfef433089d10f3278ef7973b477e9e576 | train1 - phase2test
train2 - phase1test
train3 - phase2train
train4 - phase1train | aslawliet/prm800k-tc | [
"region:us"
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#region-us
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train4 - phase1train | [] | [
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ca74ce717fd5f691ee6f741a98426339eed3712b |
# Dataset Card for end2end_textclassification
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](... | carlosug/end2end_textclassification | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
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#size_categories-1K<n<10K #rlfh #argilla #human-feedback #region-us
| Dataset Card for end2end\_textclassification
============================================
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the 'datasets' library in Load with 'datasets'.
Dat... | [
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1fbbc81cc059da50b7630ea71c189b1ed6ca375e |
A Curated superset of 12 of the best LLM instruct opensource datasets available today
Below is a list of the datasets and the examples picked from them
| monsterapi/MonsterInstruct | [
"task_categories:text-generation",
"license:apache-2.0",
"region:us"
] | 2024-01-27T10:19:51+00:00 | {"license": "apache-2.0", "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "mistral_formatted", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 128311558, "... | 2024-01-27T10:55:29+00:00 | [] | [] | TAGS
#task_categories-text-generation #license-apache-2.0 #region-us
|
A Curated superset of 12 of the best LLM instruct opensource datasets available today
Below is a list of the datasets and the examples picked from them
!image/png
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9b08228d8e537433f1289f99189826ac2967e8b6 | # Condensed Lichess Database
This dataset is a condensed version of the Lichess database.
It only includes games for which Stockfish evaluations were available.
Currently, the dataset contains the entire year 2023, which consists of >100M games and >2B positions.
Games are stored in a format that is much faster to proc... | mauricett/lichess_sf | [
"license:cc0-1.0",
"chess",
"stockfish",
"region:us"
] | 2024-01-27T10:51:12+00:00 | {"license": "cc0-1.0", "pretty_name": "Lichess Games With Stockfish Analysis", "tags": ["chess", "stockfish"]} | 2024-02-15T13:47:15+00:00 | [] | [] | TAGS
#license-cc0-1.0 #chess #stockfish #region-us
| # Condensed Lichess Database
This dataset is a condensed version of the Lichess database.
It only includes games for which Stockfish evaluations were available.
Currently, the dataset contains the entire year 2023, which consists of >100M games and >2B positions.
Games are stored in a format that is much faster to proc... | [
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8ebf6e787a4845b5354232c83563f6c065e5b1e9 | ## Source
dataset created from https://dreamsim-nights.github.io/
## Task
Find the image that is most similar to the reference (first) image.
## Prompt:
```
Given three similar but different images, take the first image as reference. Can you tell which one of the latter two images is most similar to the first one?
S... | PerceptionEval/DreamSim | [
"region:us"
] | 2024-01-27T11:33:20+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int32"}, {"name": "ref_image", "dtype": "image"}, {"name": "choice_image1", "dtype": "image"}, {"name": "choice_image2", "dtype": "image"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "val", "num_bytes": ... | 2024-01-29T10:44:18+00:00 | [] | [] | TAGS
#region-us
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dataset created from URL
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Find the image that is most similar to the reference (first) image.
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38bce40617e4a73cf2157ccc78bedd1d4b4f5377 | ## Source
dataset created from https://dreamsim-nights.github.io/
## Task
Find the image that is most similar to the reference (first) image.
## Prompt:
```
Given three similar but different images, take the first image as reference. Can you tell which one of the latter two images is most similar to the first one?
S... | PerceptionEval/DreamSimTest | [
"region:us"
] | 2024-01-27T11:33:32+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int32"}, {"name": "ref_image", "dtype": "image"}, {"name": "choice_image1", "dtype": "image"}, {"name": "choice_image2", "dtype": "image"}], "splits": [{"name": "val", "num_bytes": 219716491.0, "num_examples": 150}, {"name": "test", "num_bytes": 223571311.0, "num... | 2024-02-05T05:41:10+00:00 | [] | [] | TAGS
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Find the image that is most similar to the reference (first) image.
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# Dataset Card for Evaluation run of FelixChao/Sectumsempra-7B-DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [FelixChao/Sectumsempra-7B-DPO](https://huggingface.co/FelixChao/Sectumsempra-7B-DPO) on the [Open LLM Leaderboard](https://huggingface.... | open-llm-leaderboard/details_FelixChao__Sectumsempra-7B-DPO | [
"region:us"
] | 2024-01-27T11:58:20+00:00 | {"pretty_name": "Evaluation run of FelixChao/Sectumsempra-7B-DPO", "dataset_summary": "Dataset automatically created during the evaluation run of model [FelixChao/Sectumsempra-7B-DPO](https://huggingface.co/FelixChao/Sectumsempra-7B-DPO) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm... | 2024-01-27T11:58:40+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of FelixChao/Sectumsempra-7B-DPO
Dataset automatically created during the evaluation run of model FelixChao/Sectumsempra-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 creat... | [
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b3016c60265f4eb41c9b8b22e645b90132e6b492 | # Dataset Card for "multilong_id_rename_filtered_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CJWeiss/multilong_id_rename_filtered_4 | [
"region:us"
] | 2024-01-27T12:15:09+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 961871539.3695652, "num_examples": 2379}, {"name": "test", "num_bytes": 179013343.24926686, "num_examples": 468}, {"name": "valid", "nu... | 2024-01-27T12:15:23+00:00 | [] | [] | TAGS
#region-us
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07ee2b845306ee9fe4f4722d26a97e3dea94cf34 |
# Simple Math: 2+2=4 -1=3 (LoLo: Learning Only Logical Operations) DPO Pairs
Just like my teacher gave me homework, i thought maybe we can also add some of these basics on the trainings of our models.
It was created with very simple code that is in the repo, if you add more complex operations and so.. **please share... | fblgit/simple-math-DPO | [
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|
# Simple Math: 2+2=4 -1=3 (LoLo: Learning Only Logical Operations) DPO Pairs
Just like my teacher gave me homework, i thought maybe we can also add some of these basics on the trainings of our models.
It was created with very simple code that is in the repo, if you add more complex operations and so.. please share t... | [
"# Simple Math: 2+2=4 -1=3 (LoLo: Learning Only Logical Operations) DPO Pairs\n\nJust like my teacher gave me homework, i thought maybe we can also add some of these basics on the trainings of our models.\n\nIt was created with very simple code that is in the repo, if you add more complex operations and so.. please... | [
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e54ea958b603036482464d1e494f6411fa9a1c0c | Reversed order so that you give it *blind* two person dialogues it then spits out the names, character descriptions, and a scenario summary.
I intend to try to use this to make the bluemoon set usable, I'll add conversion scripts for everything later.
*Note: Many samples contain sus content. Be aware of this before u... | PJMixers/limarp-perscengen-converted-combined | [
"source_datasets:lemonilia/LimaRP",
"language:en",
"not-for-all-audiences",
"region:us"
] | 2024-01-27T12:28:00+00:00 | {"language": ["en"], "source_datasets": "lemonilia/LimaRP", "tags": ["not-for-all-audiences"]} | 2024-01-29T03:28:12+00:00 | [] | [
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#source_datasets-lemonilia/LimaRP #language-English #not-for-all-audiences #region-us
| Reversed order so that you give it *blind* two person dialogues it then spits out the names, character descriptions, and a scenario summary.
I intend to try to use this to make the bluemoon set usable, I'll add conversion scripts for everything later.
*Note: Many samples contain sus content. Be aware of this before u... | [] | [
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9ef9870af6361235a13d95632b4be4ede9f1d5c3 |
# Dataset Card for Evaluation run of eren23/DistiLabelOrca-TinyLLama-1.1B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [eren23/DistiLabelOrca-TinyLLama-1.1B](https://huggingface.co/eren23/DistiLabelOrca-TinyLLama-1.1B) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_eren23__DistiLabelOrca-TinyLLama-1.1B | [
"region:us"
] | 2024-01-27T12:33:38+00:00 | {"pretty_name": "Evaluation run of eren23/DistiLabelOrca-TinyLLama-1.1B", "dataset_summary": "Dataset automatically created during the evaluation run of model [eren23/DistiLabelOrca-TinyLLama-1.1B](https://huggingface.co/eren23/DistiLabelOrca-TinyLLama-1.1B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-27T12:33:59+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of eren23/DistiLabelOrca-TinyLLama-1.1B
Dataset automatically created during the evaluation run of model eren23/DistiLabelOrca-TinyLLama-1.1B 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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9bccff064b5009d702a35df42abec44d87e29b78 |
110368 French instructions generated by OpenAI GPT-3.5 in Alpaca Format to finetune general models
**Created by Jonathan Pacifico, 2024**
Please credit my name if you use this dataset in your project. | jpacifico/French-Alpaca-dataset-Instruct-110K | [
"license:apache-2.0",
"region:us"
] | 2024-01-27T12:40:17+00:00 | {"license": "apache-2.0"} | 2024-02-11T16:52:36+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
110368 French instructions generated by OpenAI GPT-3.5 in Alpaca Format to finetune general models
Created by Jonathan Pacifico, 2024
Please credit my name if you use this dataset in your project. | [] | [
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2542f0ccfd33d275d0b425913bb77527fca1ab67 |
# Dataset Card for Evaluation run of yunconglong/Mixtral_7Bx2_MoE_13B_DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [yunconglong/Mixtral_7Bx2_MoE_13B_DPO](https://huggingface.co/yunconglong/Mixtral_7Bx2_MoE_13B_DPO) on the [Open LLM Leaderboard]... | open-llm-leaderboard/details_yunconglong__Mixtral_7Bx2_MoE_13B_DPO | [
"region:us"
] | 2024-01-27T12:42:41+00:00 | {"pretty_name": "Evaluation run of yunconglong/Mixtral_7Bx2_MoE_13B_DPO", "dataset_summary": "Dataset automatically created during the evaluation run of model [yunconglong/Mixtral_7Bx2_MoE_13B_DPO](https://huggingface.co/yunconglong/Mixtral_7Bx2_MoE_13B_DPO) on the [Open LLM Leaderboard](https://huggingface.co/spaces/H... | 2024-01-27T12:43:03+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of yunconglong/Mixtral_7Bx2_MoE_13B_DPO
Dataset automatically created during the evaluation run of model yunconglong/Mixtral_7Bx2_MoE_13B_DPO 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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99647770db5422f8c61fbb6e4cdff7260f182ba9 | # Dataset Card for "IP2P-edit-try-step50-7.5_1.5-200"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | FelixdoingAI/IP2P-edit-try-step50-7.5_1.5-200 | [
"region:us"
] | 2024-01-27T12:53:37+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "original_prompt", "dtype": "string"}, {"name": "original_image", "dtype": "image"}, {"name": "edit_prompt", "dtype": "string"}, {"name": "edited_prompt", "dtype": "string"}, {"na... | 2024-01-27T12:53:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "IP2P-edit-try-step50-7.5_1.5-200"
More Information needed | [
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0d0bcdca565f3edbb82e2bcecf9fc0855ed8cf61 | # Dataset Card for "10k-arxiv-4096"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | anumafzal94/10k-arxiv-4096 | [
"region:us"
] | 2024-01-27T12:58:07+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"n... | 2024-01-27T12:58:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "10k-arxiv-4096"
More Information needed | [
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# Dataset Card for Evaluation run of alnrg2arg/test3_sft_4bit
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [alnrg2arg/test3_sft_4bit](https://huggingface.co/alnrg2arg/test3_sft_4bit) on the [Open LLM Leaderboard](https://huggingface.co/spaces/Huggi... | open-llm-leaderboard/details_alnrg2arg__test3_sft_4bit | [
"region:us"
] | 2024-01-27T13:01:22+00:00 | {"pretty_name": "Evaluation run of alnrg2arg/test3_sft_4bit", "dataset_summary": "Dataset automatically created during the evaluation run of model [alnrg2arg/test3_sft_4bit](https://huggingface.co/alnrg2arg/test3_sft_4bit) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\... | 2024-01-27T13:01:45+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of alnrg2arg/test3_sft_4bit
Dataset automatically created during the evaluation run of model alnrg2arg/test3_sft_4bit 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 ... | [
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533efaa3235bb74207a21c5d4d2e0a0051f8e657 | # Dataset Card for "alriyadh1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ZahraAlharz/alriyadh1 | [
"region:us"
] | 2024-01-27T13:04:02+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "date", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2024-01-27T13:05:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alriyadh1"
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207403bdc3f1adab97eff8c4a15d8af835c5d8fe | ### 此数据为网上收集的藏语单语数据集，规模为258661条，经过预处理以及清洗，可用于预训练。
### 数据格式如下所示：
```json
{
"taskname": "用于预训练的单语数据集",
"url": "",
"instruction": "公开数据集",
"input": "ཚན་རིག་ནི་དང་ཐོག་རང་བྱུང་ཁྱབ་ཁོངས་ཀྱི་ཤེས་བྱ་ཡིན་ཞིང་འདི་ནས་སྤྱི་ཚོགས་དང་བསམ་བློ་ལ་སོགས་སུ་ཁྱབ་ཆེ་རུ་ཕྱིན།དཔེར་ནི་སྤྱི་ཚོགས་ཚན་རིག་ལྟ་བུ།",
"output": ""
}
``` | shajiu/Tibetan_Monolingual_Ddata | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
| ### 此数据为网上收集的藏语单语数据集，规模为258661条，经过预处理以及清洗，可用于预训练。
### 数据格式如下所示：
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8b67709531b9f4bb035b7d6d19c8c54bb2526d34 | # Dataset Card for "multitiny_id_rename_filtered_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | CJWeiss/multitiny_id_rename_filtered_4 | [
"region:us"
] | 2024-01-27T13:47:20+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 412319313.27787024, "num_examples": 632}, {"name": "test", "num_bytes": 66734623.6875, "num_examples": 135}, {"name": "valid", "num_byt... | 2024-01-27T13:47:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "multitiny_id_rename_filtered_4"
More Information needed | [
"# Dataset Card for \"multitiny_id_rename_filtered_4\"\n\nMore Information needed"
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15d805c21d0a6c9ce09d1169bcc3864024b75816 |
# Dataset Card for SIB-200
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structur... | Davlan/sib200 | [
"task_categories:text-classification",
"task_ids:topic-classification",
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"language_creators:expert-generated",
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"source_datasets:original",
"language:ace",
"language:acm",
"language:acq",
"language:aeb",
"l... | 2024-01-27T14:04:12+00:00 | {"annotations_creators": ["found"], "language_creators": ["expert-generated"], "language": ["ace", "acm", "acq", "aeb", "af", "ajp", "ak", "als", "am", "apc", "ar", "ars", "ary", "arz", "as", "ast", "awa", "ayr", "azb", "azj", "ba", "bm", "ban", "be", "bem", "bn", "bho", "bjn", "bo", "bs", "bug", "bg", "ca", "ceb", "cs... | 2024-01-27T14:35:22+00:00 | [
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========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source D... | [
"### Dataset Summary\n\n\nSIB-200 is the largest publicly available topic classification dataset based on Flores-200 covering 205 languages and dialects.\n\n\nThe train/validation/test sets are available for all the 205 languages.",
"### Supported Tasks and Leaderboards\n\n\n* 'topic classification': categorize w... | [
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78c71bb4bd22d34eca3168d5c100eb295875cd7e | # Dataset Card for "ISIC_1000_Melanoma"
Binary Image Segmentation of Skin Lesions is a pivotal task in dermatology and medical imaging aimed at accurately delineating regions of interest within skin images. Skin lesions encompass various anomalies, including moles, freckles, and potentially malignant melanomas. The pr... | Fernandess/ISIC_1000_Melanoma | [
"task_categories:image-segmentation",
"size_categories:n<1K",
"region:us"
] | 2024-01-27T14:20:05+00:00 | {"size_categories": ["n<1K"], "task_categories": ["image-segmentation"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 225038989, "num_examples": 800}, {"name": "validation", "num_bytes": 56414609, "num_examples": 200}]... | 2024-01-27T14:46:48+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #size_categories-n<1K #region-us
| # Dataset Card for "ISIC_1000_Melanoma"
Binary Image Segmentation of Skin Lesions is a pivotal task in dermatology and medical imaging aimed at accurately delineating regions of interest within skin images. Skin lesions encompass various anomalies, including moles, freckles, and potentially malignant melanomas. The pr... | [
"# Dataset Card for \"ISIC_1000_Melanoma\"\n\nBinary Image Segmentation of Skin Lesions is a pivotal task in dermatology and medical imaging aimed at accurately delineating regions of interest within skin images. Skin lesions encompass various anomalies, including moles, freckles, and potentially malignant melanoma... | [
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51e56c4f94fbb39c199d72996dbce5d606cf3623 |
# Dataset Card for Evaluation run of kaitchup/Mayonnaise-4in1-01
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kaitchup/Mayonnaise-4in1-01](https://huggingface.co/kaitchup/Mayonnaise-4in1-01) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_kaitchup__Mayonnaise-4in1-01 | [
"region:us"
] | 2024-01-27T14:29:29+00:00 | {"pretty_name": "Evaluation run of kaitchup/Mayonnaise-4in1-01", "dataset_summary": "Dataset automatically created during the evaluation run of model [kaitchup/Mayonnaise-4in1-01](https://huggingface.co/kaitchup/Mayonnaise-4in1-01) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-27T14:29:48+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kaitchup/Mayonnaise-4in1-01
Dataset automatically created during the evaluation run of model kaitchup/Mayonnaise-4in1-01 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 kaitchup/Mayonnaise-4in1-01\n\n\n\nDataset automatically created during the evaluation run of model kaitchup/Mayonnaise-4in1-01 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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a4c42c0b751af2086494d1a3022e7c202dee4af0 | # Dataset Card for "alriyadh3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ZahraAlharz/alriyadh3 | [
"region:us"
] | 2024-01-27T14:37:55+00:00 | {"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "content", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "title", "dtype": "string"}], "splits": [{"name": "train", "num_by... | 2024-01-27T14:38:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "alriyadh3"
More Information needed | [
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362e8443144319db223ea6dc0dd2d905ba44ee68 |
# Dataset Card for Evaluation run of kaitchup/Mayonnaise-4in1-02
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kaitchup/Mayonnaise-4in1-02](https://huggingface.co/kaitchup/Mayonnaise-4in1-02) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_kaitchup__Mayonnaise-4in1-02 | [
"region:us"
] | 2024-01-27T14:42:03+00:00 | {"pretty_name": "Evaluation run of kaitchup/Mayonnaise-4in1-02", "dataset_summary": "Dataset automatically created during the evaluation run of model [kaitchup/Mayonnaise-4in1-02](https://huggingface.co/kaitchup/Mayonnaise-4in1-02) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leade... | 2024-01-27T14:42:23+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Evaluation run of kaitchup/Mayonnaise-4in1-02
Dataset automatically created during the evaluation run of model kaitchup/Mayonnaise-4in1-02 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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3fbfd0efcaf090539ab5bbf1afdbea9013aa7d71 |
# Dataset Card for Evaluation run of kaitchup/Mayonnaise-4in1-03
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [kaitchup/Mayonnaise-4in1-03](https://huggingface.co/kaitchup/Mayonnaise-4in1-03) on the [Open LLM Leaderboard](https://huggingface.co/spa... | open-llm-leaderboard/details_kaitchup__Mayonnaise-4in1-03 | [
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# Dataset Card for Evaluation run of kaitchup/Mayonnaise-4in1-03
Dataset automatically created during the evaluation run of model kaitchup/Mayonnaise-4in1-03 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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47cad97d016b7fb2a66369752c78ae9327ca7f78 |
# Dataset Card for Latent Diffusion Super Sampling
Image datasets for building image/video upscaling networks.
This repository contains implementation of training and inference code for models trained on the following works:
## Part 1: Trained Sub-Pixel Convolutional Network for Upscali... | aoxo/latent_diffusion_super_sampling | [
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!Thumbnail
# Dataset Card for Latent Diffusion Super Sampling
Image datasets for building image/video upscaling networks.
This repository contains implementation of training and inference code for models trained on the following works:
## Part 1: Trained Sub-Pixel Convolutional Network for Upscaling on 5000 indivi... | [
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05b8dbe51235279e0e32c9fb235a7b5a190ee1e1 |
```text
<|gökdeniz|>{input}<|endoftext|>\n\n<|josie|>{respond}<|endoftext|>
``` | Isaak-Carter/MAIN_JOSIE_wizard_vicuna_70k_unfiltered_de | [
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18ead34e321011b8aed05a613b1656ed7f5b9531 |
```text
<|gökdeniz|>{input}<|endoftext|>\n\n<|josie|>{respond}<|endoftext|>
``` | Isaak-Carter/MAIN_JOSIE_wizard_vicuna_70k_unfiltered | [
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"passage: TAGS\n#region-us \n"
] | |
4e859f13f801f28112adcee022fa0e61cc0b4a58 | 本資料集是解析自[維基文庫於 20240120 發布的打包檔](https://zh.wikisource.org/zh-hant/Help:%E4%B8%8B%E8%BD%BD%E7%BB%B4%E5%9F%BA%E6%96%87%E5%BA%93) bz2 檔案的內容，在解析出所需內容後，利用 [wikitextparser](https://wikitextparser.readthedocs.io/en/latest/) 移除 Wiki 標記。解析後保留的欄位有兩個：條目名稱（title），條目內容（page article）。
原始的打包檔條目內容簡繁混雜，所以有利用 OpenCC 進行簡轉繁處理。
* 原始總條目數:... | jslin09/wikisource_tw | [
"multilinguality:monolingual",
"size_categories:100M<n<1B",
"source_datasets:wikisource",
"language:zh",
"license:cc-by-sa-4.0",
"region:us"
] | 2024-01-27T15:18:46+00:00 | {"language": ["zh"], "license": "cc-by-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["100M<n<1B"], "source_datasets": ["wikisource"], "pretty_name": "wiki_tw", "dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "article", "dtype": "string"}]}, "extra_gated_prompt": "You agre... | 2024-01-27T15:55:28+00:00 | [] | [
"zh"
] | TAGS
#multilinguality-monolingual #size_categories-100M<n<1B #source_datasets-wikisource #language-Chinese #license-cc-by-sa-4.0 #region-us
| 本資料集是解析自維基文庫於 20240120 發布的打包檔 bz2 檔案的內容，在解析出所需內容後，利用 wikitextparser 移除 Wiki 標記。解析後保留的欄位有兩個：條目名稱（title），條目內容（page article）。
原始的打包檔條目內容簡繁混雜，所以有利用 OpenCC 進行簡轉繁處理。
* 原始總條目數: 1,057,179 條目。
* 全部 1,057,179 個條目標題。
* 全部 1,057,179 個條目內容。
* 無法自動去標記的條目數: 166
* 有內容的條目數: 1,057,179
因為本資料集內容龐大，要塞進一般的個人電腦中進行計算，恐怕會有資源不足的情形。建議使用parque... | [] | [
"TAGS\n#multilinguality-monolingual #size_categories-100M<n<1B #source_datasets-wikisource #language-Chinese #license-cc-by-sa-4.0 #region-us \n"
] | [
51
] | [
"passage: TAGS\n#multilinguality-monolingual #size_categories-100M<n<1B #source_datasets-wikisource #language-Chinese #license-cc-by-sa-4.0 #region-us \n"
] |
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