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argilla/databricks-dolly-15k-curated-en | argilla | 2023-10-02T12:32:53Z | 8,870,889 | 18 | null | [
"language:en",
"region:us"
] | 2023-10-02T12:32:53Z | 2023-05-30T09:54:44.000Z | 2023-05-30T09:54:44 | ---
language:
- en
---
## Guidelines
In this dataset, you will find a collection of records that show a category, an instruction, a context and a response to that instruction. The aim of the project is to correct the instructions, intput and responses to make sure they are of the highest quality and that they match t... | [
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cais/mmlu | cais | 2023-10-07T11:24:05Z | 2,775,237 | 107 | mmlu | [
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"arxiv:2005.... | 2023-10-07T11:24:05Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
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paperswithcode_id: mmlu
pretty_name: Measuring Massi... | [
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truthful_qa | null | 2023-06-09T14:18:13Z | 1,644,823 | 87 | truthfulqa | [
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"multilinguality:monoling... | 2023-06-09T14:18:13Z | 2022-06-08T14:44:06.000Z | 2022-06-08T14:44:06 | ---
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togethercomputer/RedPajama-Data-V2 | togethercomputer | 2023-11-16T16:03:58Z | 1,289,785 | 202 | null | [
"task_categories:text-generation",
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task_categories:
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pretty_name: Red Pajama V2 Dataset
---
### Getting Started
RedPajama-V2 is an open dataset for training large language models. The dataset includes over 100B text
documents coming from 84 CommonCrawl snapshots and processed using
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glue | null | 2023-06-01T14:59:59Z | 1,257,788 | 255 | glue | [
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lighteval/mmlu | lighteval | 2023-06-09T16:36:19Z | 972,911 | 7 | mmlu | [
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"arxiv:2005.... | 2023-06-09T16:36:19Z | 2023-05-16T09:39:28.000Z | 2023-05-16T09:39:28 | ---
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paperswithcode_id: mmlu
pretty_name: Measuring Massi... | [
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poloclub/diffusiondb | poloclub | 2023-05-09T19:00:45Z | 843,192 | 334 | null | [
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"license:cc0-1.0",
"stable diffusion"... | 2023-05-09T19:00:45Z | 2022-10-25T02:25:28.000Z | 2022-10-25T02:25:28 | ---
layout: default
title: Home
nav_order: 1
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pretty_name: DiffusionDB
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wikitext | null | 2023-06-20T07:52:10Z | 590,936 | 211 | wikitext-2 | [
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"languag... | 2023-06-20T07:52:10Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
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paperswithcode_id: wikitext-2
pretty_name: WikiText
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lukaemon/mmlu | lukaemon | 2023-02-02T02:38:44Z | 551,143 | 26 | null | [
"region:us"
] | 2023-02-02T02:38:44Z | 2023-02-02T00:42:27.000Z | 2023-02-02T00:42:27 | ---
dataset_info:
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super_glue | null | 2023-04-05T13:41:04Z | 448,570 | 119 | superglue | [
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"lan... | 2023-04-05T13:41:04Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
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EleutherAI/wikitext_document_level | EleutherAI | 2023-03-10T11:04:18Z | 397,935 | 5 | null | [
"arxiv:1609.07843",
"region:us"
] | 2023-03-10T11:04:18Z | 2023-03-10T10:57:24.000Z | 2023-03-10T10:57:24 | # Wikitext Document Level
This is a modified version of [https://huggingface.co/datasets/wikitext](https://huggingface.co/datasets/wikitext) that returns Wiki pages instead of Wiki text line-by-line. The original readme is contained below.
# Dataset Card for "wikitext"
## Table of Contents
- [Dataset Description](#d... | [
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lavita/medical-qa-shared-task-v1-toy | lavita | 2023-07-20T00:29:06Z | 381,400 | 2 | null | [
"region:us"
] | 2023-07-20T00:29:06Z | 2023-07-20T00:28:51.000Z | 2023-07-20T00:28:51 | ---
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lavita/medical-qa-shared-task-v1-toy-eval | lavita | 2023-07-27T01:09:59Z | 299,965 | 0 | null | [
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hf-internal-testing/fixtures_image_utils | hf-internal-testing | 2021-12-07T08:06:37Z | 293,801 | 0 | null | [
"region:us"
] | 2021-12-07T08:06:37Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | This dataset includes 5 images for testing.
It includes 4 different kinds of images (RGBA, LA, L, Rotated Image) as well as an original cats image of the COCO dataset.
This dataset is used for testing in the HuggingFace Transformers library. You can see [here](https://github.com/huggingface/transformers/search?q=fixt... | [
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ai2_arc | null | 2023-04-05T09:11:00Z | 287,389 | 34 | null | [
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samsum | null | 2022-12-27T11:03:09Z | 268,601 | 180 | samsum-corpus | [
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red_caps | null | 2023-01-25T14:43:07Z | 258,496 | 45 | redcaps | [
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] | 2023-01-25T14:43:07Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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paperswithcode_id: redcaps
pretty_name: RedCaps
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gsm8k | null | 2022-11-18T22:06:26Z | 240,594 | 120 | gsm8k | [
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paperswithcode_id: gsm8k
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imdb | null | 2023-04-05T10:07:38Z | 234,052 | 130 | imdb-movie-reviews | [
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pretty_name: IMDB
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winogrande | null | 2023-06-05T11:49:56Z | 203,186 | 25 | winogrande | [
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piqa | null | 2023-01-25T14:42:33Z | 184,962 | 46 | piqa | [
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pretty_name: 'Physica... | [
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squad | null | 2023-04-05T13:40:31Z | 150,007 | 147 | squad | [
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... | 2023-04-05T13:40:31Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
pretty_name: SQuAD
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ted_talks_iwslt | null | 2023-06-01T14:59:58Z | 131,885 | 11 | null | [
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hf-internal-testing/librispeech_asr_dummy | hf-internal-testing | 2022-03-08T11:02:02Z | 125,581 | 0 | null | [
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] | 2022-03-08T11:02:02Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | Entry not found | [
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Helsinki-NLP/tatoeba_mt | Helsinki-NLP | 2022-10-21T15:50:25Z | 119,959 | 41 | null | [
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"language:ca... | 2022-10-21T15:50:25Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
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facebook/flores | facebook | 2022-08-09T20:27:39Z | 114,131 | 28 | flores | [
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"lan... | 2022-08-09T20:27:39Z | 2022-07-13T21:11:38.000Z | 2022-07-13T21:11:38 | ---
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openbookqa | null | 2023-04-05T13:36:14Z | 111,270 | 39 | openbookqa | [
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"license:unknow... | 2023-04-05T13:36:14Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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paperswithco... | [
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ceval/ceval-exam | ceval | 2023-08-31T14:04:10Z | 104,325 | 164 | null | [
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] | 2023-08-31T14:04:10Z | 2023-05-16T01:47:44.000Z | 2023-05-16T01:47:44 | ---
license: cc-by-nc-sa-4.0
task_categories:
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language:
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pretty_name: C-Eval
size_categories:
- 10K<n<100K
---
C-Eval is a comprehensive Chinese evaluation suite for foundation models. It consists of 13948 multi-choice questions spanning 52 diverse disci... | [
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facebook/belebele | facebook | 2023-11-15T02:31:17Z | 94,951 | 36 | null | [
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"l... | 2023-11-15T02:31:17Z | 2023-09-01T18:27:13.000Z | 2023-09-01T18:27:13 | ---
configs:
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data_files:
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path: data/acm_Arab.jsonl
- split: arz_Arab
path: data/arz_Arab.jsonl
- split: ceb_Latn
path: data/ceb_Latn.jsonl
- split: fin_Latn
path: data/fin_Latn.jsonl
- split: hin_Deva
path: data/hin_Deva.jsonl
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sciq | null | 2023-06-06T07:16:34Z | 93,033 | 66 | sciq | [
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] | 2023-06-06T07:16:34Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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paperswithcode_id: sciq
pretty_name: SciQ
dataset... | [
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allenai/c4 | allenai | 2021-11-09T20:11:36Z | 92,198 | 81 | null | [
"region:us"
] | 2021-11-09T20:11:36Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | This is the processed version of [Google's C4 dataset](https://www.tensorflow.org/datasets/catalog/c4).
We prepared five variants of the data: `en`, `en.noclean`, `en.noblocklist`, `realnewslike`, and `multilingual`.
For reference, these are the sizes of the variants:
- `en`: 305GB
- `en.noclean`: 2.3TB
- `en.nobloc... | [
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hails/mmlu_no_train | hails | 2023-11-01T17:06:40Z | 90,606 | 0 | null | [
"task_categories:question-answering",
"language:en",
"license:mit",
"region:us"
] | 2023-11-01T17:06:40Z | 2023-10-31T17:25:54.000Z | 2023-10-31T17:25:54 | ---
license: mit
task_categories:
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language:
- en
pretty_name: MMLU loader with no auxiliary train set
---
This dataset contains a copy of the `cais/mmlu` HF dataset but without the `auxiliary_train` split that takes a long time to generate again each time when loading multiple subsets of the datase... | [
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ccdv/cnn_dailymail | ccdv | 2022-10-24T20:31:59Z | 89,831 | 5 | cnn-daily-mail-1 | [
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"conditional-text-generation",
"region... | 2022-10-24T20:31:59Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
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- en
license:
- apache-2.0
multilinguality:
- monolingual
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source_datasets:
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task_categories:
- summarization
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task_ids: []
paperswithcode_id: cnn-daily-mail-1
pretty_name: CNN / Daily M... | [
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0.33484783768... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
csebuetnlp/xlsum | csebuetnlp | 2023-04-18T01:46:20Z | 79,280 | 60 | xl-sum | [
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"lan... | 2023-04-18T01:46:20Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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license:
- cc-by-nc-sa-4.0
multil... | [
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0.2642194330692... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
cnn_dailymail | null | 2022-11-18T19:30:01Z | 78,471 | 123 | cnn-daily-mail-1 | [
"task_categories:summarization",
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"region:us"
] | 2022-11-18T19:30:01Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
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- en
license:
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multilinguality:
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size_categories:
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source_datasets:
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task_categories:
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task_ids:
- news-articles-summarization
paperswithcode_id: cnn-daily-mail-1
pretty_name: CNN ... | [
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conll2003 | null | 2023-04-05T10:02:26Z | 75,961 | 77 | conll-2003 | [
"task_categories:token-classification",
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"language:en",
"lice... | 2023-04-05T10:02:26Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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multilinguality:
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task_categories:
- token-classification
task_ids:
- named-entity-recognition
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paperswithcode_i... | [
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0.3020443916320... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
xnli | null | 2023-04-05T13:45:18Z | 72,335 | 34 | xnli | [
"language:ar",
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"language:de",
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"language:zh",
"region:us"
] | 2023-04-05T13:45:18Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
language:
- ar
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- fr
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paperswithcode_id: xnli
pretty_name: Cross-lingual Natural Language Inference
dataset_info:
- config_name: ar
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
c... | [
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0.28663021326065063,... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
flax-sentence-embeddings/stackexchange_titlebody_best_voted_answer_jsonl | flax-sentence-embeddings | 2022-07-11T13:13:27Z | 68,081 | 6 | null | [
"task_categories:question-answering",
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"region:us"
] | 2022-07-11T13:13:27Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
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license:
- cc-by-nc-sa-4.0
multilinguality:
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pretty_name: stackexchange
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- closed-domain-qa
---
# Dataset Card Creation Guide
... | [
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0.14912647008895... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
code_search_net | null | 2023-06-06T11:19:59Z | 66,543 | 158 | codesearchnet | [
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... | 2023-06-06T11:19:59Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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task_ids:
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- masked-langua... | [
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haonan-li/cmmlu | haonan-li | 2023-07-13T10:19:29Z | 63,982 | 33 | null | [
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"region:us"
] | 2023-07-13T10:19:29Z | 2023-06-25T16:37:44.000Z | 2023-06-25T16:37:44 | ---
license: cc-by-nc-4.0
task_categories:
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language:
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tags:
- chinese
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pretty_name: CMMLU
size_categories:
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---
# CMMLU: Measuring massive multitask language understanding in Chinese
- **Homepage:** [https://github.com/haonan-li/CMMLU](https://g... | [
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xcsr | null | 2022-11-03T16:46:53Z | 63,418 | 4 | null | [
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"source_datasets:extended|codah",
"source_datasets:extended|c... | 2022-11-03T16:46:53Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
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- crowdsourced
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language:
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pretty_name: X-CSR
size_categories:
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source_datasets:
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0.2360059767961502,... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
sst2 | null | 2023-05-02T12:53:26Z | 63,116 | 34 | sst | [
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] | 2023-05-02T12:53:26Z | 2022-06-13T14:01:47.000Z | 2022-06-13T14:01:47 | ---
annotations_creators:
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task_ids:
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paperswithcode_id: sst
pretty_name: Stanford Sentimen... | [
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0.1515612155199051,... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
HuggingFaceM4/cm4-synthetic-testing-with-embeddings | HuggingFaceM4 | 2023-10-03T12:25:35Z | 63,100 | 1 | null | [
"region:us"
] | 2023-10-03T12:25:35Z | 2023-10-03T12:23:54.000Z | 2023-10-03T12:23:54 | ---
dataset_info:
- config_name: 100.unique.embeddings
features:
- name: texts
sequence: string
- name: metadata
dtype: string
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dtype: int64
- name: image_embeddings
sequence:
sequence:
sequence: float64
splits:
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num_bytes: 15422178
nu... | [
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0.004903336986899376... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
c4 | null | 2022-11-03T16:47:14Z | 62,197 | 170 | c4 | [
"task_categories:text-generation",
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"source_datasets:original",
"language:en"... | 2022-11-03T16:47:14Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
pretty_name: C4
annotations_creators:
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task_ids:
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paperswit... | [
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0.24840652942657... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
machelreid/m2d2 | machelreid | 2022-10-25T12:57:24Z | 61,839 | 2 | null | [
"license:cc-by-nc-4.0",
"arxiv:2210.07370",
"region:us"
] | 2022-10-25T12:57:24Z | 2022-10-18T15:14:07.000Z | 2022-10-18T15:14:07 | ---
license: cc-by-nc-4.0
---
# M2D2: A Massively Multi-domain Language Modeling Dataset
*From the paper "[M2D2: A Massively Multi-domain Language Modeling Dataset](https://arxiv.org/abs/2210.07370)", (Reid et al., EMNLP 2022)*
Load the dataset as follows:
```python
import datasets
dataset = datasets.load_dataset("m... | [
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0.27038276195526... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Muennighoff/flores200 | Muennighoff | 2023-10-05T14:56:26Z | 60,157 | 5 | flores | [
"task_categories:text2text-generation",
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"source_datasets:extended|flores",
"license:cc-by-sa-4.0",
"condition... | 2023-10-05T14:56:26Z | 2022-07-17T08:11:54.000Z | 2022-07-17T08:11:54 | ---
annotations_creators:
- found
language_creators:
- expert-generated
license:
- cc-by-sa-4.0
multilinguality:
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size_categories:
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source_datasets:
- extended|flores
task_categories:
- text2text-generation
- translation
task_ids: []
paperswithcode_id: flores
pretty_name: flores200
... | [
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0.5692226886749268... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
xtreme | null | 2023-06-01T14:59:58Z | 60,022 | 61 | xtreme | [
"task_categories:multiple-choice",
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"task_ids:open-domain-qa",
"task_ids:natural-language-inf... | 2023-06-01T14:59:58Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
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language:
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license:
- apache-2.0
- cc-by-4.0
- cc-by-2.0
- c... | [
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0.16048605740... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
oscar | null | 2023-06-01T14:59:59Z | 59,959 | 127 | oscar | [
"task_categories:text-generation",
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"size_catego... | 2023-06-01T14:59:59Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
pretty_name: OSCAR
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cifar10 | null | 2023-01-25T14:27:53Z | 58,510 | 30 | cifar-10 | [
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pretty_name: Cifar1... | [
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uonlp/CulturaX | uonlp | 2023-09-25T10:43:45Z | 57,082 | 241 | null | [
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argilla/oasst_response_quality | argilla | 2023-08-09T11:27:12Z | 56,045 | 1 | null | [
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size_categories: 1K<n<10K
tags:
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---
# Dataset Card for oasst_response_quality
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), o... | [
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rotten_tomatoes | null | 2023-04-05T13:39:30Z | 55,896 | 31 | mr | [
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openai_humaneval | null | 2022-11-29T16:41:19Z | 53,522 | 106 | humaneval | [
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EleutherAI/pile | EleutherAI | 2023-05-03T15:58:14Z | 50,271 | 251 | the-pile | [
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"language:en",... | 2023-05-03T15:58:14Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
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lambada | null | 2023-06-13T09:14:12Z | 50,228 | 34 | lambada | [
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HuggingFaceM4/tmp-pmd-synthetic-testing | HuggingFaceM4 | 2022-10-05T17:16:27Z | 49,871 | 1 | null | [
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] | 2022-10-05T17:16:27Z | 2022-10-05T17:15:40.000Z | 2022-10-05T17:15:40 | Entry not found | [
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GEM/wiki_lingua | GEM | 2023-02-16T09:23:29Z | 49,500 | 41 | null | [
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"langua... | 2023-02-16T09:23:29Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
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tasksource/bigbench | tasksource | 2023-05-11T14:08:10Z | 47,270 | 40 | null | [
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"task_ids:closed-domain-q... | 2023-05-11T14:08:10Z | 2023-01-31T10:44:51.000Z | 2023-01-31T10:44:51 | ---
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tatsu-lab/alpaca | tatsu-lab | 2023-05-22T20:33:36Z | 46,228 | 492 | null | [
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license: cc-by-nc-4.0
language:
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pretty_name: Alpaca
task_categories:
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---
# Dataset Card for Alpaca
## Dataset Description
- **Homepage:** https://crfm.stanford.edu/2023/03/13/alpaca.html
- **Repository:** https://github.com/tatsu-lab/stanford_alpaca
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mnist | null | 2023-04-18T08:44:09Z | 45,174 | 47 | mnist | [
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pretty_n... | [
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lighteval/agi_eval_en | lighteval | 2023-10-17T14:46:49Z | 42,749 | 1 | null | [
"arxiv:2304.06364",
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] | 2023-10-17T14:46:49Z | 2023-09-28T14:59:03.000Z | 2023-09-28T14:59:03 | # Introduction
AGIEval is a human-centric benchmark specifically designed to evaluate the general abilities of foundation models in tasks pertinent to human cognition and problem-solving.
This benchmark is derived from 20 official, public, and high-standard admission and qualification exams intended for general human ... | [
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clips/mqa | clips | 2022-09-27T12:38:50Z | 41,089 | 28 | null | [
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"language:es",
"language:fr"... | 2022-09-27T12:38:50Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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language:
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license:
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HuggingFaceM4/cm4-synthetic-testing | HuggingFaceM4 | 2022-11-22T16:24:24Z | 39,936 | 3 | null | [
"license:bigscience-openrail-m",
"region:us"
] | 2022-11-22T16:24:24Z | 2022-09-24T02:37:35.000Z | 2022-09-24T02:37:35 | ---
license: bigscience-openrail-m
---
This dataset is designed to be used in testing multimodal text/image models. It's derived from cm4-10k dataset.
The current splits are: `['100.unique', '100.repeat', '300.unique', '300.repeat', '1k.unique', '1k.repeat', '10k.unique', '10k.repeat']`.
The `unique` ones ensure uniq... | [
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Anthropic/hh-rlhf | Anthropic | 2023-05-26T18:47:34Z | 39,877 | 758 | null | [
"license:mit",
"human-feedback",
"arxiv:2204.05862",
"region:us"
] | 2023-05-26T18:47:34Z | 2022-12-08T20:11:33.000Z | 2022-12-08T20:11:33 | ---
license: mit
tags:
- human-feedback
---
# Dataset Card for HH-RLHF
## Dataset Summary
This repository provides access to two different kinds of data:
1. Human preference data about helpfulness and harmlessness from [Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback](htt... | [
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web_questions | null | 2023-04-05T13:43:02Z | 39,825 | 15 | webquestions | [
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] | 2023-04-05T13:43:02Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
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wikiann | null | 2023-06-01T14:59:59Z | 39,791 | 63 | wikiann-1 | [
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"language:am... | 2023-06-01T14:59:59Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
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race | null | 2023-04-05T13:37:29Z | 39,281 | 26 | race | [
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annotations_creators:
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pretty_name: RACE
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paperswithcode_id: race
dataset_info:
- con... | [
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0.128820046782493... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
timdettmers/openassistant-guanaco | timdettmers | 2023-05-27T22:40:40Z | 38,765 | 261 | null | [
"region:us"
] | 2023-05-27T22:40:40Z | 2023-05-27T21:56:25.000Z | 2023-05-27T21:56:25 | This dataset is a subset of the Open Assistant dataset, which you can find here: https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main
This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples.
This dataset was used to train Guanaco with QLoRA.
For... | [
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wikipedia | null | 2023-06-01T14:59:58Z | 38,649 | 357 | null | [
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"size_categ... | 2023-06-01T14:59:58Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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si... | [
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lukaemon/bbh | lukaemon | 2023-02-02T01:14:46Z | 38,251 | 20 | null | [
"region:us"
] | 2023-02-02T01:14:46Z | 2023-02-01T07:46:51.000Z | 2023-02-01T07:46:51 | ---
dataset_info:
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features:
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dtype: string
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splits:
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num_bytes: 11790
num_examples: 250
download_size: 17172
dataset_size: 11790
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snli | null | 2023-01-25T14:44:35Z | 38,173 | 32 | snli | [
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"... | 2023-01-25T14:44:35Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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blimp | null | 2023-04-05T09:41:50Z | 37,462 | 30 | blimp | [
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] | 2023-04-05T09:41:50Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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license: cc-by-4.0
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pretty_name: BLiMP
size_categories:
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paperswithcode_id:... | [
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ptb_text_only | null | 2022-11-18T21:39:46Z | 35,624 | 11 | null | [
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"language:... | 2022-11-18T21:39:46Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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license_details: LDC User Agreement for Non-Members
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0.245367079973220... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
trec | null | 2023-04-05T13:42:29Z | 33,607 | 30 | trecqa | [
"task_categories:text-classification",
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"language:en",
"license:unknown",
"region:us"
] | 2023-04-05T13:42:29Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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language_creators:
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language:
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license:
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multilinguality:
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size_categories:
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task_categories:
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task_ids:
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paperswithcode_id: trecqa
pretty_name:... | [
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0.283039510250091... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
codeparrot/apps | codeparrot | 2022-10-20T15:00:15Z | 32,857 | 56 | null | [
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"arxiv:2105.09938",
"arxiv:2203.07814",
"region:us"
] | 2022-10-20T15:00:15Z | 2022-06-15T13:20:26.000Z | 2022-06-15T13:20:26 | ---
annotations_creators: []
language_creators:
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language: ["code"]
license:
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multilinguality:
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pretty_name: APPS
size_categories:
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task_categories:
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task_ids:
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---
# APPS Dataset
## Dataset Description... | [
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0.453469455242157... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
lambdalabs/pokemon-blip-captions | lambdalabs | 2022-09-21T10:38:05Z | 32,700 | 195 | null | [
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] | 2022-09-21T10:38:05Z | 2022-09-14T12:04:50.000Z | 2022-09-14T12:04:50 | ---
license: cc-by-nc-sa-4.0
annotations_creators:
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language:
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pretty_name: 'Pokémon BLIP captions'
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source_datasets:
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tags: []
task_categories:
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---
# Dataset Ca... | [
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math_qa | null | 2023-04-05T10:09:35Z | 32,557 | 48 | mathqa | [
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"licens... | 2023-04-05T10:09:35Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
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trivia_qa | null | 2023-06-09T15:34:16Z | 32,455 | 30 | triviaqa | [
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paperswithcode_id: triviaqa
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wiki_qa | null | 2023-04-05T13:43:16Z | 31,868 | 17 | wikiqa | [
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mozilla-foundation/common_voice_11_0 | mozilla-foundation | 2023-06-26T15:23:38Z | 31,854 | 120 | common-voice | [
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opus_euconst | null | 2022-11-03T16:47:26Z | 31,433 | 7 | null | [
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HuggingFaceH4/ultrachat_200k | HuggingFaceH4 | 2023-10-27T08:53:22Z | 31,430 | 130 | null | [
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language:
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pretty_name: UltraChat 200k
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shunk031/JGLUE | shunk031 | 2023-09-26T12:41:51Z | 30,614 | 33 | null | [
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Open-Orca/OpenOrca | Open-Orca | 2023-10-21T10:09:31Z | 30,002 | 913 | null | [
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... | [
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Matthijs/cmu-arctic-xvectors | Matthijs | 2023-02-07T14:04:48Z | 29,942 | 22 | null | [
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pretty_name: CMU ARCTIC X-Vectors
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license: mit
---
# Speaker embeddings extracted from CMU ARCTIC
There is one `.npy` file for each utterance in the dataset, 7931 files in total. The speaker embeddings are 512-element X-vectors.
The [CMU ARCTIC](http://www.festv... | [
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social_i_qa | null | 2023-04-05T13:40:21Z | 28,959 | 4 | social-iqa | [
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language:
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paperswithcode_id: social-iqa
pretty_name: Social Interaction QA
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dtype: st... | [
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lhoestq/demo1 | lhoestq | 2021-11-08T14:36:41Z | 28,578 | 1 | null | [
"region:us"
] | 2021-11-08T14:36:41Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
type: demo
---
# Dataset Card for Demo1
## 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](#... | [
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ag_news | null | 2023-04-05T08:34:57Z | 28,439 | 79 | ag-news | [
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paperswithcode_id: ag-news
pretty_name: AG’s News Corpus
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opus100 | null | 2023-06-01T14:59:58Z | 28,248 | 60 | opus-100 | [
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"l... | 2023-06-01T14:59:58Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
pretty_name: Opus100
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paws-x | null | 2023-01-25T14:42:16Z | 27,990 | 18 | paws-x | [
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-... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
boolq | null | 2023-04-05T09:42:01Z | 27,695 | 29 | boolq | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | 2023-04-05T09:42:01Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- natural-language-inference
paperswithcode_id: boolq
pretty_name: BoolQ
da... | [
-0.5667205452919006,
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0.1866397112... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
nuprl/MultiPL-E | nuprl | 2023-06-16T00:08:57Z | 27,158 | 17 | null | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"source_datasets:extended|openai_humaneval",
"source_datasets:extended|mbpp",
"language:en",
... | 2023-06-16T00:08:57Z | 2022-09-28T19:20:07.000Z | 2022-09-28T19:20:07 | ---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- machine-generated
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name: MultiPLE-E
size_categories:
- 1K<n<10K
source_datasets:
- original
- extended|openai_humaneval
- extended|mbpp
tags: []
task_categories: []
ta... | [
-0.4977830648422241,
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-0.3641766905784607,
0.490923106670... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
togethercomputer/RedPajama-Data-1T | togethercomputer | 2023-06-30T22:06:10Z | 27,052 | 921 | null | [
"task_categories:text-generation",
"language:en",
"region:us"
] | 2023-06-30T22:06:10Z | 2023-04-17T06:28:35.000Z | 2023-04-17T06:28:35 | ---
task_categories:
- text-generation
language:
- en
pretty_name: Red Pajama 1T
---
### Getting Started
The dataset consists of 2084 jsonl files.
You can download the dataset using HuggingFace:
```python
from datasets import load_dataset
ds = load_dataset("togethercomputer/RedPajama-Data-1T")
```
Or you can directly... | [
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0.37188950181007385,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
flax-sentence-embeddings/stackexchange_titlebody_best_and_down_voted_answer_jsonl | flax-sentence-embeddings | 2022-07-11T13:13:18Z | 27,003 | 10 | null | [
"task_categories:question-answering",
"task_ids:closed-domain-qa",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-07-11T13:13:18Z | 2022-03-02T23:29:22.000Z | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
pretty_name: stackexchange
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- closed-domain-qa
---
# Dataset Card Creation Guide
... | [
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0.07234810292720... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
AdaptLLM/medicine-tasks | AdaptLLM | 2023-11-07T12:20:18Z | 26,463 | 3 | null | [
"arxiv:2309.09530",
"region:us"
] | 2023-11-07T12:20:18Z | 2023-09-19T14:53:35.000Z | 2023-09-19T14:53:35 | ---
configs:
- config_name: ChemProt
data_files:
- split: test
path: "ChemProt/test.json"
- config_name: MQP
data_files:
- split: test
path: "MedQs/test.json"
- config_name: PubMedQA
data_files:
- split: test
path: "pubmed_qa/test.json"
- config_name: RCT
data_files:
- split: t... | [
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-0.5541077852249146,
0.374500095844... | null | null | null | null | null | null | null | null | null | null | null | null | null |
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