sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0bfc5269714a8861f29c1253bf89e6465eae8ab9 |
# Dataset Card for ScandiQA
## Dataset Description
- **Repository:** <https://github.com/alexandrainst/scandi-qa>
- **Point of Contact:** [Dan Saattrup Nielsen](mailto:dan.nielsen@alexandra.dk)
- **Size of downloaded dataset files:** 69 MB
- **Size of the generated dataset:** 67 MB
- **Total amount of disk used:** 1... | alexandrainst/scandi-qa | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:mkqa",
"source_datasets:natural_questions",
"language:da",
"language:sv",
"language:no",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-08-30T08:46:59+00:00 | {"language": ["da", "sv", false], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["mkqa", "natural_questions"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "pretty_name": "ScandiQA"} | 2023-01-16T13:51:25+00:00 | [] | [
"da",
"sv",
"no"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-mkqa #source_datasets-natural_questions #language-Danish #language-Swedish #language-Norwegian #license-cc-by-sa-4.0 #region-us
| Dataset Card for ScandiQA
=========================
Dataset Description
-------------------
* Repository: <URL
* Point of Contact: Dan Saattrup Nielsen
* Size of downloaded dataset files: 69 MB
* Size of the generated dataset: 67 MB
* Total amount of disk used: 136 MB
### Dataset Summary
ScandiQA is a dataset o... | [
"### Dataset Summary\n\n\nScandiQA is a dataset of questions and answers in the Danish, Norwegian, and Swedish\nlanguages. All samples come from the Natural Questions (NQ) dataset, which is a large\nquestion answering dataset from Google searches. The Scandinavian questions and answers\ncome from the MKQA dataset, ... | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-mkqa #source_datasets-natural_questions #language-Danish #language-Swedish #language-Norwegian #license-cc-by-sa-4.0 #region-us \n",
"### Dataset Summary\n\n\nScandiQA is a d... | [
97,
458,
38,
36,
58,
149,
11,
57,
36,
22,
21
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-extractive-qa #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-mkqa #source_datasets-natural_questions #language-Danish #language-Swedish #language-Norwegian #license-cc-by-sa-4.0 #region-us \n"
] |
2c1e9e1a4deba071907e637095df2467c0c29472 | # Dataset Card for Auditor_Review
This file is a copy, the original version is hosted at [data.world](https://data.world/rshah/diabetes) | demo-org/diabetes | [
"task_categories:text-classification",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"region:us"
] | 2022-08-30T20:06:15+00:00 | {"language": ["en"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "pretty_name": "Diabetes"} | 2022-08-30T20:08:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #region-us
| # Dataset Card for Auditor_Review
This file is a copy, the original version is hosted at URL | [
"# Dataset Card for Auditor_Review\n\nThis file is a copy, the original version is hosted at URL"
] | [
"TAGS\n#task_categories-text-classification #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #region-us \n",
"# Dataset Card for Auditor_Review\n\nThis file is a copy, the original version is hosted at URL"
] | [
49,
23
] | [
"passage: TAGS\n#task_categories-text-classification #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #region-us \n# Dataset Card for Auditor_Review\n\nThis file is a copy, the original version is hosted at URL"
] |
03a3c90f11ff6485cd4955a23f0a6e07b5158936 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: billsum
* Config: default
* Split: te... | autoevaluate/autoeval-staging-eval-billsum-default-dd3eba-14585981 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-30T23:24:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["billsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2", "metrics": [], "dataset_name": "billsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "... | 2022-08-31T06:44:21+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2\n* Dataset: billsum\n* Config: default\n* Split: test\n\nTo run new evalua... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2\n* Dataset: billsum\n* Con... | [
13,
103,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2\n* Dataset: billsum\n* ... |
c2248d5acd8782d3046775ac52db8eb3dad50305 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11
* Dataset: billsum
* Config: default
* Split: tes... | autoevaluate/autoeval-staging-eval-billsum-default-3fec5f-14625986 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-30T23:51:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["billsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11", "metrics": [], "dataset_name": "billsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "t... | 2022-09-01T09:02:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11\n* Dataset: billsum\n* Config: default\n* Split: test\n\nTo run new evaluat... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11\n* Dataset: billsum\n* Conf... | [
13,
102,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11\n* Dataset: billsum\n* C... |
f4f32ebb0db7da41e075f69405e7e396dd93d2d0 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: billsum
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-billsum-default-3fec5f-14625985 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-30T23:51:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["billsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP", "metrics": [], "dataset_name": "billsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "tex... | 2022-09-01T03:09:46+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit H... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP\n* Dataset: billsum\n* Config: default\n* Split: test\n\nTo run new evaluatio... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP\n* Dataset: billsum\n* Config... | [
13,
101,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP\n* Dataset: billsum\n* Con... |
7977d7e4d2c8bd3f9da965a99d6057387f58875a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: xsum
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-xsum-default-6f5db0-14615984 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-30T23:51:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "documen... | 2022-09-01T12:24:17+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: xsum\n* Config:... | [
13,
102,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: xsum\n* Conf... |
0cd9acdb0ea6acb0442697499b54a323105dc95d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: billsum
* Config: default
* Split: tes... | autoevaluate/autoeval-staging-eval-billsum-default-3fec5f-14625987 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-30T23:52:00+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["billsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13", "metrics": [], "dataset_name": "billsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "t... | 2022-09-01T07:04:11+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: billsum\n* Config: default\n* Split: test\n\nTo run new evaluat... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: billsum\n* Conf... | [
13,
102,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: billsum\n* C... |
d51d497dbd52f384789619ba69627cd55541ecd9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11
* Dataset: samsum
* Config: samsum
* Split: test
... | autoevaluate/autoeval-staging-eval-samsum-samsum-f593d1-14645991 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-30T23:52:23+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dial... | 2022-08-31T00:18:28+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit H... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11\n* Dataset: samsum\n* Config: samsum\n* Split: test\n\nTo run new evaluatio... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11\n* Dataset: samsum\n* Confi... | [
13,
103,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP11\n* Dataset: samsum\n* Co... |
22b0f359dc343c3842ae0b3b25410185a06dc368 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: samsum
* Config: samsum
* Split: test
... | autoevaluate/autoeval-staging-eval-samsum-samsum-f593d1-14645992 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-30T23:52:23+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dial... | 2022-08-31T00:33:07+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit H... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: samsum\n* Config: samsum\n* Split: test\n\nTo run new evaluatio... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: samsum\n* Confi... | [
13,
103,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13\n* Dataset: samsum\n* Co... |
626afad55214c9e1949031f8a19c13834f5b817f |
# Dataset Card for pixta-ai/Plane-images-in-multiple-scenes
## Dataset Description
- **Homepage:** https://www.pixta.ai/
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
4,000 Plane images in multiple scenes, including multiple types of planes disproportionately, the p... | pixta-ai/Plane-images-in-multiple-scenes | [
"region:us"
] | 2022-08-31T01:43:12+00:00 | {"YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]} | 2022-09-05T03:23:05+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for pixta-ai/Plane-images-in-multiple-scenes
## Dataset Description
- Homepage: URL
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
4,000 Plane images in multiple scenes, including multiple types of planes disproportionately, the passenger plan are the majorities.
Each... | [
"# Dataset Card for pixta-ai/Plane-images-in-multiple-scenes",
"## Dataset Description\n\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:",
"### Dataset Summary\n\n4,000 Plane images in multiple scenes, including multiple types of planes disproportionately, the passenger plan are t... | [
"TAGS\n#region-us \n",
"# Dataset Card for pixta-ai/Plane-images-in-multiple-scenes",
"## Dataset Description\n\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:",
"### Dataset Summary\n\n4,000 Plane images in multiple scenes, including multiple types of planes disproportionately,... | [
6,
23,
25,
67,
35,
5,
7
] | [
"passage: TAGS\n#region-us \n# Dataset Card for pixta-ai/Plane-images-in-multiple-scenes## Dataset Description\n\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:### Dataset Summary\n\n4,000 Plane images in multiple scenes, including multiple types of planes disproportionately, the pass... |
44488c9a08a774143dca37c60c28116c766e48fd | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: mrp/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation... | autoevaluate/autoeval-staging-eval-squad-plain_text-d52fee-14655993 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T05:42:20+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "mrp/bert-finetuned-squad", "metrics": ["bleu", "rouge"], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context":... | 2022-08-31T05:45:10+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: mrp/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's automati... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mrp/bert-finetuned-squad\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mrp/bert-finetuned-squad\n* Dataset: squad\n* Config: plain_text\n* Split: validati... | [
13,
89,
19
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mrp/bert-finetuned-squad\n* Dataset: squad\n* Config: plain_text\n* Split: valid... |
a8b2fb9790419752e26300ce37c9eabc36411bd4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: sgugger/glue-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs,... | autoevaluate/autoeval-staging-eval-glue-mrpc-e15d1b-14665994 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:30:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "sgugger/glue-mrpc", "metrics": [], "dataset_name": "glue", "dataset_config": "mrpc", "dataset_split": "validation", "col_mapping": {"text1": "sentence1", "text2": "sentence2",... | 2022-08-31T06:31:19+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: sgugger/glue-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic mode... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: sgugger/glue-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: sgugger/glue-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: validation\n\n... | [
13,
88,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: sgugger/glue-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: validation\... |
1a3a5ca04db7486f9737e64f16c54c1d2b48fba4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: Intel/camembert-base-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluati... | autoevaluate/autoeval-staging-eval-glue-mrpc-e15d1b-14665997 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:33:16+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "Intel/camembert-base-mrpc", "metrics": [], "dataset_name": "glue", "dataset_config": "mrpc", "dataset_split": "validation", "col_mapping": {"text1": "sentence1", "text2": "sen... | 2022-08-31T06:33:42+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: Intel/camembert-base-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging Face's automa... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Intel/camembert-base-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: validation\n\nTo run new evaluation jobs, visit Huggin... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Intel/camembert-base-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: valida... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Intel/camembert-base-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: val... |
55730ed50204cd1be2d9f3d0f828b34a762f6ae9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: sgugger/bert-finetuned-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-glue-mrpc-e15d1b-14666001 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:36:03+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "sgugger/bert-finetuned-mrpc", "metrics": [], "dataset_name": "glue", "dataset_config": "mrpc", "dataset_split": "validation", "col_mapping": {"text1": "sentence1", "text2": "s... | 2022-08-31T06:36:29+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: sgugger/bert-finetuned-mrpc
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: sgugger/bert-finetuned-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: sgugger/bert-finetuned-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: vali... | [
13,
91,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: sgugger/bert-finetuned-mrpc\n* Dataset: glue\n* Config: mrpc\n* Split: v... |
09a1805befbcdb794978a12558e99ea3d8dd2cb1 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: Alireza1044/mobilebert_qqp
* Dataset: glue
* Config: qqp
* Split: validation
To run new evaluati... | autoevaluate/autoeval-staging-eval-glue-qqp-c973af-14676003 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:36:15+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "Alireza1044/mobilebert_qqp", "metrics": [], "dataset_name": "glue", "dataset_config": "qqp", "dataset_split": "validation", "col_mapping": {"text1": "question1", "text2": "que... | 2022-08-31T06:38:38+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: Alireza1044/mobilebert_qqp
* Dataset: glue
* Config: qqp
* Split: validation
To run new evaluation jobs, visit Hugging Face's automa... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Alireza1044/mobilebert_qqp\n* Dataset: glue\n* Config: qqp\n* Split: validation\n\nTo run new evaluation jobs, visit Huggin... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Alireza1044/mobilebert_qqp\n* Dataset: glue\n* Config: qqp\n* Split: valida... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Alireza1044/mobilebert_qqp\n* Dataset: glue\n* Config: qqp\n* Split: val... |
0434b76db92af9825be658211a80b3ce2fcb41ba | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: gchhablani/bert-base-cased-finetuned-qqp
* Dataset: glue
* Config: qqp
* Split: validation
To ru... | autoevaluate/autoeval-staging-eval-glue-qqp-c973af-14676011 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:40:25+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "gchhablani/bert-base-cased-finetuned-qqp", "metrics": [], "dataset_name": "glue", "dataset_config": "qqp", "dataset_split": "validation", "col_mapping": {"text1": "question1",... | 2022-08-31T06:43:33+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: gchhablani/bert-base-cased-finetuned-qqp
* Dataset: glue
* Config: qqp
* Split: validation
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: gchhablani/bert-base-cased-finetuned-qqp\n* Dataset: glue\n* Config: qqp\n* Split: validation\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: gchhablani/bert-base-cased-finetuned-qqp\n* Dataset: glue\n* Config: qqp\n*... | [
13,
98,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: gchhablani/bert-base-cased-finetuned-qqp\n* Dataset: glue\n* Config: qqp... |
0b092afb93ac87046ff0da854e0f025408b23915 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: Alireza1044/mobilebert_mnli
* Dataset: glue
* Config: mnli
* Split: validation_matched
To run ne... | autoevaluate/autoeval-staging-eval-glue-mnli-026a6e-14686015 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:44:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "Alireza1044/mobilebert_mnli", "metrics": [], "dataset_name": "glue", "dataset_config": "mnli", "dataset_split": "validation_matched", "col_mapping": {"text1": "premise", "text... | 2022-08-31T06:44:58+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: Alireza1044/mobilebert_mnli
* Dataset: glue
* Config: mnli
* Split: validation_matched
To run new evaluation jobs, visit Hugging Fac... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Alireza1044/mobilebert_mnli\n* Dataset: glue\n* Config: mnli\n* Split: validation_matched\n\nTo run new evaluation jobs, vi... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Alireza1044/mobilebert_mnli\n* Dataset: glue\n* Config: mnli\n* Split: vali... | [
13,
92,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Alireza1044/mobilebert_mnli\n* Dataset: glue\n* Config: mnli\n* Split: v... |
8d30d6afd086cb75a9a24e114001dcbadd64c5b4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: Jiva/xlm-roberta-large-it-mnli
* Dataset: glue
* Config: mnli
* Split: validation_matched
To run... | autoevaluate/autoeval-staging-eval-glue-mnli-026a6e-14686017 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:45:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "Jiva/xlm-roberta-large-it-mnli", "metrics": [], "dataset_name": "glue", "dataset_config": "mnli", "dataset_split": "validation_matched", "col_mapping": {"text1": "premise", "t... | 2022-08-31T06:48:14+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: Jiva/xlm-roberta-large-it-mnli
* Dataset: glue
* Config: mnli
* Split: validation_matched
To run new evaluation jobs, visit Hugging ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Jiva/xlm-roberta-large-it-mnli\n* Dataset: glue\n* Config: mnli\n* Split: validation_matched\n\nTo run new evaluation jobs,... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Jiva/xlm-roberta-large-it-mnli\n* Dataset: glue\n* Config: mnli\n* Split: v... | [
13,
99,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: Jiva/xlm-roberta-large-it-mnli\n* Dataset: glue\n* Config: mnli\n* Split... |
b55cb6fad539ade72ccb0bf50f7cc661dc764116 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: nbhimte/tiny-bert-mnli-distilled
* Dataset: glue
* Config: mnli
* Split: validation_matched
To r... | autoevaluate/autoeval-staging-eval-glue-mnli-026a6e-14686020 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:50:59+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "nbhimte/tiny-bert-mnli-distilled", "metrics": [], "dataset_name": "glue", "dataset_config": "mnli", "dataset_split": "validation_matched", "col_mapping": {"text1": "premise", ... | 2022-08-31T06:51:25+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: nbhimte/tiny-bert-mnli-distilled
* Dataset: glue
* Config: mnli
* Split: validation_matched
To run new evaluation jobs, visit Huggin... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: nbhimte/tiny-bert-mnli-distilled\n* Dataset: glue\n* Config: mnli\n* Split: validation_matched\n\nTo run new evaluation job... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: nbhimte/tiny-bert-mnli-distilled\n* Dataset: glue\n* Config: mnli\n* Split:... | [
13,
98,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: nbhimte/tiny-bert-mnli-distilled\n* Dataset: glue\n* Config: mnli\n* Spl... |
2207c72eb1dfd42516e8bb8e8e428a1f15fc0f9e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/roberta-base-qnli
* Dataset: glue
* Config: qnli
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-glue-qnli-1747ab-14696022 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T06:53:03+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "JeremiahZ/roberta-base-qnli", "metrics": [], "dataset_name": "glue", "dataset_config": "qnli", "dataset_split": "validation", "col_mapping": {"text1": "question", "text2": "se... | 2022-08-31T06:53:56+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: JeremiahZ/roberta-base-qnli
* Dataset: glue
* Config: qnli
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: JeremiahZ/roberta-base-qnli\n* Dataset: glue\n* Config: qnli\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: JeremiahZ/roberta-base-qnli\n* Dataset: glue\n* Config: qnli\n* Split: vali... | [
13,
92,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: JeremiahZ/roberta-base-qnli\n* Dataset: glue\n* Config: qnli\n* Split: v... |
3efd19530c8c048329718b508bd997f08a1066ff |
This repository contains ShapeNetCore (v2) in [GLTF](https://en.wikipedia.org/wiki/GlTF) format, a subset of [ShapeNet](https://shapenet.org).
ShapeNetCore is a densely annotated subset of ShapeNet covering 55 common object categories with ~51,300 unique 3D models. Each model in ShapeNetCore are linked to an approp... | ShapeNet/shapenetcore-gltf | [
"language:en",
"license:other",
"3D shapes",
"region:us"
] | 2022-08-31T07:04:32+00:00 | {"language": ["en"], "license": "other", "pretty_name": "ShapeNetCore", "tags": ["3D shapes"], "extra_gated_heading": "Acknowledge license to accept the repository", "extra_gated_prompt": "To request access to this ShapeNet repo, you will need to provide your **full name** (please provide both your first and last name)... | 2023-09-20T14:03:13+00:00 | [] | [
"en"
] | TAGS
#language-English #license-other #3D shapes #region-us
|
This repository contains ShapeNetCore (v2) in GLTF format, a subset of ShapeNet.
ShapeNetCore is a densely annotated subset of ShapeNet covering 55 common object categories with ~51,300 unique 3D models. Each model in ShapeNetCore are linked to an appropriate synset in WordNet 3.0.
If you use ShapeNet data, you ... | [] | [
"TAGS\n#language-English #license-other #3D shapes #region-us \n"
] | [
19
] | [
"passage: TAGS\n#language-English #license-other #3D shapes #region-us \n"
] |
75b1f32f2ebf11639ee2e1f0df219a0b9bcd1ef6 |
This repository contains ShapeNetCore (v2) in [GLB](https://en.wikipedia.org/wiki/GlTF#GLB) format, a subset of [ShapeNet](https://shapenet.org).
ShapeNetCore is a densely annotated subset of ShapeNet covering 55 common object categories with ~51,300 unique 3D models. Each model in ShapeNetCore are linked to an app... | ShapeNet/shapenetcore-glb | [
"language:en",
"license:other",
"3D shapes",
"region:us"
] | 2022-08-31T07:04:51+00:00 | {"language": ["en"], "license": "other", "pretty_name": "ShapeNetCore", "tags": ["3D shapes"], "extra_gated_heading": "Acknowledge license to accept the repository", "extra_gated_prompt": "To request access to this ShapeNet repo, you will need to provide your **full name** (please provide both your first and last name)... | 2023-09-20T14:04:40+00:00 | [] | [
"en"
] | TAGS
#language-English #license-other #3D shapes #region-us
|
This repository contains ShapeNetCore (v2) in GLB format, a subset of ShapeNet.
ShapeNetCore is a densely annotated subset of ShapeNet covering 55 common object categories with ~51,300 unique 3D models. Each model in ShapeNetCore are linked to an appropriate synset in WordNet 3.0.
If you use ShapeNet data, you a... | [] | [
"TAGS\n#language-English #license-other #3D shapes #region-us \n"
] | [
19
] | [
"passage: TAGS\n#language-English #license-other #3D shapes #region-us \n"
] |
7bcd8d67060c921ea89a52433ce80e7dc753784c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-project-a741994f-efcd-40c8-8652-be4f42ba26cd-31 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T07:09:13+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping... | 2022-08-31T07:10:00+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config:... | [
13,
87,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Conf... |
9ad5d61faaa69bf55d889259015496b6d39ea90a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: gchhablani/bert-base-cased-finetuned-qnli
* Dataset: glue
* Config: qnli
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-glue-qnli-1747ab-14696030 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T07:09:23+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "gchhablani/bert-base-cased-finetuned-qnli", "metrics": [], "dataset_name": "glue", "dataset_config": "qnli", "dataset_split": "validation", "col_mapping": {"text1": "question"... | 2022-08-31T07:10:09+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: gchhablani/bert-base-cased-finetuned-qnli
* Dataset: glue
* Config: qnli
* Split: validation
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: gchhablani/bert-base-cased-finetuned-qnli\n* Dataset: glue\n* Config: qnli\n* Split: validation\n\nTo run new evaluation jo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: gchhablani/bert-base-cased-finetuned-qnli\n* Dataset: glue\n* Config: qnli\... | [
13,
99,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: gchhablani/bert-base-cased-finetuned-qnli\n* Dataset: glue\n* Config: qn... |
cc04efc6edd44fc890b7625b82e36e023a353c59 |
# Dataset Card for SANAD
## 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-structure)
... | khalidalt/SANAD | [
"license:cc-by-4.0",
"region:us"
] | 2022-08-31T12:34:53+00:00 | {"license": "cc-by-4.0"} | 2022-09-03T18:36:00+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# Dataset Card for SANAD
## 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 Data
- Annotations
- Personal a... | [
"# Dataset Card for SANAD",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annot... | [
"TAGS\n#license-cc-by-4.0 #region-us \n",
"# Dataset Card for SANAD",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Cu... | [
15,
7,
125,
8,
126,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
14,
5
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n# Dataset Card for SANAD## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curat... |
78d2052bec6926a380c29fafca8557bced46ad43 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinyroberta-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluat... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906065 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:49:09+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/tinyroberta-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context... | 2022-08-31T20:51:46+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinyroberta-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's autom... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/tinyroberta-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit Huggi... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/tinyroberta-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: valid... | [
13,
93,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/tinyroberta-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: va... |
ce4204c2bd9b8eb2d0872b9b0ea63f0200030771 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906066 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:49:15+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-base-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"contex... | 2022-08-31T20:52:06+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: vali... | [
13,
94,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: v... |
101220450c4e9337566488a595372390246937c9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalu... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906067 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:49:20+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-large-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"conte... | 2022-08-31T20:53:49+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's aut... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit Hug... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: val... | [
13,
95,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: ... |
72b9520267fa0633669d76cdf4968d6c25521b96 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new ev... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906068 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:52:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/xlm-roberta-base-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"co... | 2022-08-31T20:55:28+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: ... | [
13,
97,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Spli... |
cca945ceb6b114937af9e69853666dc3d12ef1c0 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new e... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906069 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:52:38+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/xlm-roberta-large-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"c... | 2022-08-31T20:57:53+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split:... | [
13,
98,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Spl... |
b66f3c90f539de1eb33ae4b3b6e84c86e67d644a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2-covid
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new ... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906070 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:54:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-base-squad2-covid", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"... | 2022-08-31T20:57:24+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2-covid
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face'... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2-covid\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visi... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2-covid\n* Dataset: squad_v2\n* Config: squad_v2\n* Split... | [
13,
96,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2-covid\n* Dataset: squad_v2\n* Config: squad_v2\n* Sp... |
ec55bc782a252819ffe12f8097640286e5130157 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run ... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906071 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:55:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-base-squad2-distilled", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping"... | 2022-08-31T20:58:49+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-base-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging F... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* S... | [
13,
97,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n... |
85b74f86f553a969c7d22d22ee177c07739ede2f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906072 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:57:56+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/xlm-roberta-base-squad2-distilled", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapp... | 2022-08-31T21:01:20+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\... | [
13,
100,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/xlm-roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_... |
6441cc0b487b62b88a44999da1d1a6df5051db1d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-cased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eva... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916074 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:58:30+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/bert-base-cased-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"con... | 2022-08-31T21:01:33+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-cased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-base-cased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit H... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-base-cased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: v... | [
13,
96,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-base-cased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split... |
9e7039c7a58178ec63a3938b449bbd35ebf912df | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepakvk/roberta-base-squad2-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906073 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T20:59:21+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepakvk/roberta-base-squad2-finetuned-squad", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_m... | 2022-08-31T21:02:14+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepakvk/roberta-base-squad2-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepakvk/roberta-base-squad2-finetuned-squad\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepakvk/roberta-base-squad2-finetuned-squad\n* Dataset: squad_v2\n* Config: squad_... | [
13,
102,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepakvk/roberta-base-squad2-finetuned-squad\n* Dataset: squad_v2\n* Config: squ... |
30825b4b2d8e9b5671ec15a8218bdda56f470b0b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-medium-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run n... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916077 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T21:01:55+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/bert-medium-squad2-distilled", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping":... | 2022-08-31T21:04:31+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-medium-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Fa... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-medium-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, v... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-medium-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* Sp... | [
13,
97,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-medium-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n*... |
ac5b4b0694f05ab94ed402208b645204dbc7f685 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new e... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916076 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T21:03:09+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/bert-base-uncased-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"c... | 2022-08-31T21:06:09+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-base-uncased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-base-uncased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split:... | [
13,
97,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-base-uncased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Spl... |
70eb6800ed3b65b6ef9c1b424928669979a9e322 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-large-uncased-whole-word-masking-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: vali... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916078 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T21:05:09+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/bert-large-uncased-whole-word-masking-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation"... | 2022-08-31T21:10:07+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-large-uncased-whole-word-masking-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-large-uncased-whole-word-masking-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new ev... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-large-uncased-whole-word-masking-squad2\n* Dataset: squad_v2\n* Config... | [
13,
106,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-large-uncased-whole-word-masking-squad2\n* Dataset: squad_v2\n* Con... |
4ae1a5e50013521e0d49bacbc0e4759230b2e0c7 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new ev... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916080 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T21:06:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/deberta-v3-large-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"co... | 2022-08-31T21:13:11+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: ... | [
13,
98,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Spli... |
2455dc91a08af79fa79ed41e9a60ceec159629c0 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinybert-6l-768d-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new ev... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916075 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T21:09:08+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/tinybert-6l-768d-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"co... | 2022-08-31T21:11:47+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinybert-6l-768d-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/tinybert-6l-768d-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/tinybert-6l-768d-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: ... | [
13,
97,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/tinybert-6l-768d-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Spli... |
e3290585c7c08b65826dbf628bb64eb9e3d60e92 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eva... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916079 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T21:10:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/deberta-v3-base-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"con... | 2022-08-31T21:14:24+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit H... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: v... | [
13,
97,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split... |
6403e178c742dcd7c2b572e9e4df8f33577eb62d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/electra-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916081 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T21:10:55+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/electra-base-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"contex... | 2022-08-31T21:14:00+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/electra-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/electra-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/electra-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: vali... | [
13,
94,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/electra-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: v... |
6ec84a0ec5da70e845deca75ffa6141a28839907 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/minilm-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eval... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-38b250-14916082 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T21:12:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/minilm-uncased-squad2", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"cont... | 2022-08-31T21:15:10+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/minilm-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's au... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/minilm-uncased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit Hu... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/minilm-uncased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: va... | [
13,
96,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/minilm-uncased-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split:... |
ba06dc05a1b91c497f489bfa9793acdfb4ce06ec |
# Dataset Card for GLUE
## Table of Contents
- [Dataset Card for GLUE](#dataset-card-for-glue)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [ax](... | evaluate/glue-ci | [
"task_categories:text-classification",
"task_ids:acceptability-classification",
"task_ids:natural-language-inference",
"task_ids:semantic-similarity-scoring",
"task_ids:sentiment-classification",
"task_ids:text-scoring",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monol... | 2022-08-31T21:17:54+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["acceptability-classification", "natural-lang... | 2022-09-15T19:12:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<1... | Dataset Card for GLUE
=====================
Table of Contents
-----------------
* Dataset Card for GLUE
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
* ax
* cola
* mnli
* mnli\_matched
* mnli\_mismatched
* mrpc
* qnli
* qqp
* rte
*... | [
"### Dataset Summary\n\n\nGLUE, the General Language Understanding Evaluation benchmark (URL is a collection of resources for training, evaluating, and analyzing natural language understanding systems.",
"### Supported Tasks and Leaderboards\n\n\nThe leaderboard for the GLUE benchmark can be found at this address... | [
"TAGS\n#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-1... | [
136,
39,
33,
71,
54,
185,
38,
40,
55,
183,
48,
153,
65,
67,
324,
28,
6,
50,
50,
55,
57,
58,
4,
5,
5,
4,
5,
5,
5,
17,
76,
55,
77,
81,
82,
4,
5,
5,
4,
5,
5,
5,
5,
4,
3,
5,
9,
10,
4,
5,
5,
4,
5,
5,
11,
7,
4,... | [
"passage: TAGS\n#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_cat... |
fdf89d9ab61732bcb253768750a35dcf7bba9a9e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: ptnv-s/biobert_squad2_cased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
T... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-c9381c-14936084 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T22:13:06+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "ptnv-s/biobert_squad2_cased-finetuned-squad", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_ma... | 2022-08-31T22:16:12+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: ptnv-s/biobert_squad2_cased-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hug... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: ptnv-s/biobert_squad2_cased-finetuned-squad\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: ptnv-s/biobert_squad2_cased-finetuned-squad\n* Dataset: squad_v2\n* Config: squad_v... | [
13,
105,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: ptnv-s/biobert_squad2_cased-finetuned-squad\n* Dataset: squad_v2\n* Config: squa... |
f73936e33d1c4ee021cb17b21e16ffff0ca95b80 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: gerardozq/biobert_v1.1_pubmed-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-c9381c-14936085 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T22:46:20+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "gerardozq/biobert_v1.1_pubmed-finetuned-squad", "metrics": ["bertscore"], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_... | 2022-08-31T22:49:22+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: gerardozq/biobert_v1.1_pubmed-finetuned-squad
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit H... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: gerardozq/biobert_v1.1_pubmed-finetuned-squad\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluatio... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: gerardozq/biobert_v1.1_pubmed-finetuned-squad\n* Dataset: squad_v2\n* Config: squad... | [
13,
103,
20
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: gerardozq/biobert_v1.1_pubmed-finetuned-squad\n* Dataset: squad_v2\n* Config: sq... |
d5bf79983aff9a4a44953c5edf97a05393c8ab58 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, vi... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-d7ce16-14946086 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-31T23:03:20+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "facebook/bart-large-cnn", "metrics": ["mse"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target": "hi... | 2022-09-01T00:06:48+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model e... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's au... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo ... | [
13,
88,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\n... |
19c35918209a49548c54478695bbe6b8f0dc758e | This is the dataset used to post-train the [BERTweet](https://huggingface.co/cardiffnlp/twitter-roberta-base) language model on a Masked Language Modeling (MLM) task, resulting in the [CryptoBERT](https://huggingface.co/ElKulako/cryptobert) language model.
The dataset contains 3.207 million unique posts from the langu... | ElKulako/cryptobert-posttrain | [
"license:afl-3.0",
"region:us"
] | 2022-09-01T03:10:42+00:00 | {"license": "afl-3.0"} | 2022-09-01T03:22:42+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| This is the dataset used to post-train the BERTweet language model on a Masked Language Modeling (MLM) task, resulting in the CryptoBERT language model.
The dataset contains 3.207 million unique posts from the language domain of cryptocurrency-related social media text.
The dataset contains 1.865 million StockTwits p... | [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-afl-3.0 #region-us \n"
] |
8982dbea4a595589b7ebe46b3d7eec6707eeea16 |
# Dataset Card for environmental_claims
## Dataset Description
- **Homepage:** [climatebert.ai](https://climatebert.ai)
- **Repository:**
- **Paper:** [arxiv.org/abs/2209.00507](https://arxiv.org/abs/2209.00507)
- **Leaderboard:**
- **Point of Contact:** [Dominik Stammbach](mailto:dominsta@ethz.ch)
### Dataset Summ... | climatebert/environmental_claims | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-sa-4.0",
"arxiv:2209.00507",
"region:us"
] | 2022-09-01T13:19:17+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": "cc-by-nc-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "Environmental... | 2023-05-23T07:53:10+00:00 | [
"2209.00507"
] | [
"en"
] | TAGS
#task_categories-text-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-sa-4.0 #arxiv-2209.00507 #region-us
|
# Dataset Card for environmental_claims
## Dataset Description
- Homepage: URL
- Repository:
- Paper: URL
- Leaderboard:
- Point of Contact: Dominik Stammbach
### Dataset Summary
We introduce an expert-annotated dataset for detecting real-world environmental claims made by listed companies.
### Supported Tasks an... | [
"# Dataset Card for environmental_claims",
"## Dataset Description\n\n- Homepage: URL\n- Repository:\n- Paper: URL\n- Leaderboard:\n- Point of Contact: Dominik Stammbach",
"### Dataset Summary\n\nWe introduce an expert-annotated dataset for detecting real-world environmental claims made by listed companies.",
... | [
"TAGS\n#task_categories-text-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-sa-4.0 #arxiv-2209.00507 #region-us \n",
"# Dataset Card for environmental_claims",
"##... | [
91,
9,
30,
29,
33,
14,
6,
6,
44,
27,
5,
7,
4,
74,
16,
5,
36,
28,
25,
8,
7,
8,
7,
5,
31,
71,
17
] | [
"passage: TAGS\n#task_categories-text-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-sa-4.0 #arxiv-2209.00507 #region-us \n# Dataset Card for environmental_claims## Da... |
4bce21b1f9211f24ff5ec321db8ea10894e3f425 |
# Dataset Card for "cardiffnlp/tweet_topic_multi"
## Dataset Description
- **Paper:** [https://arxiv.org/abs/2209.09824](https://arxiv.org/abs/2209.09824)
- **Dataset:** Tweet Topic Dataset
- **Domain:** Twitter
- **Number of Class:** 19
### Dataset Summary
This is the official repository of TweetTopic (["Twitter ... | cardiffnlp/tweet_topic_multi | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"size_categories:1k<10K",
"language:en",
"license:other",
"arxiv:2209.09824",
"region:us"
] | 2022-09-01T13:30:46+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1k<10K"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "TweetTopicSingle"} | 2024-01-17T14:54:48+00:00 | [
"2209.09824"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #arxiv-2209.09824 #region-us
| Dataset Card for "cardiffnlp/tweet\_topic\_multi"
=================================================
Dataset Description
-------------------
* Paper: URL
* Dataset: Tweet Topic Dataset
* Domain: Twitter
* Number of Class: 19
### Dataset Summary
This is the official repository of TweetTopic ("Twitter Topic Classi... | [
"### Dataset Summary\n\n\nThis is the official repository of TweetTopic (\"Twitter Topic Classification\n, COLING main conference 2022\"), a topic classification dataset on Twitter with 19 labels.\nEach instance of TweetTopic comes with a timestamp which distributes from September 2019 to August 2021.\nSee cardiffn... | [
"TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #arxiv-2209.09824 #region-us \n",
"### Dataset Summary\n\n\nThis is the official repository of TweetTopic (\"Twitter Topic Classification\n, COLING m... | [
64,
118,
103,
181,
22,
18,
23
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #arxiv-2209.09824 #region-us \n### Dataset Summary\n\n\nThis is the official repository of TweetTopic (\"Twitter Topic Classification\n, COLIN... |
2e11493c1b92c66b3d718b39d13d21c0bcbab1ba | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: bhadresh-savani/roberta-base-emotion
* Dataset: emotion
* Config: default
* Split: test
To ... | autoevaluate/autoeval-staging-eval-emotion-default-139135-14996090 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-01T14:39:13+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "bhadresh-savani/roberta-base-emotion", "metrics": ["roc_auc", "mae"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text... | 2022-09-01T14:39:48+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: bhadresh-savani/roberta-base-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: bhadresh-savani/roberta-base-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: bhadresh-savani/roberta-base-emotion\n* Dataset: emotion\n* Config: de... | [
13,
91,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: bhadresh-savani/roberta-base-emotion\n* Dataset: emotion\n* Config:... |
aff1661b05d3101c728c5383a9c84111d2e1349f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: ericntay/bert-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run n... | autoevaluate/autoeval-staging-eval-emotion-default-139135-14996091 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-01T14:39:20+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "ericntay/bert-finetuned-emotion", "metrics": ["roc_auc", "mae"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "t... | 2022-09-01T14:39:53+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: ericntay/bert-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Fa... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: ericntay/bert-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, v... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: ericntay/bert-finetuned-emotion\n* Dataset: emotion\n* Config: default... | [
13,
90,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: ericntay/bert-finetuned-emotion\n* Dataset: emotion\n* Config: defa... |
1e636ac88c46ec15dafa23d63d5d28ce8f03df9a |
Read this [BLOG](https://neuralmagic.com/blog/classifying-finance-tweets-in-real-time-with-sparse-transformers/) to see how I fine-tuned a sparse transformer on this dataset.
### Dataset Description
The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tw... | zeroshot/twitter-financial-news-sentiment | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"twitter",
"finance",
"markets",
"stoc... | 2022-09-01T20:21:56+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "pretty_name": "twit... | 2022-12-12T14:32:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #twitter #finance #markets #stocks #wallstreet #quant #hedgefunds #region-... | Read this BLOG to see how I fine-tuned a sparse transformer on this dataset.
### Dataset Description
The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.
1. The datas... | [
"### Dataset Description\n\n\nThe Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.\n\n\n1. The dataset holds 11,932 documents annotated with 3 labels:\n\n\nThe data was... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #twitter #finance #markets #stocks #wallstreet #quant #hedgefunds #r... | [
106,
92,
61
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #twitter #finance #markets #stocks #wallstreet #quant #hedg... |
87b7a0d1c402dbb481db649569c556d9aa27ac05 |
# Dataset Card for "cardiffnlp/tweet_topic_single"
## Dataset Description
- **Paper:** [https://arxiv.org/abs/2209.09824](https://arxiv.org/abs/2209.09824)
- **Dataset:** Tweet Topic Dataset
- **Domain:** Twitter
- **Number of Class:** 6
### Dataset Summary
This is the official repository of TweetTopic (["Twitter ... | cardiffnlp/tweet_topic_single | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"size_categories:1k<10K",
"language:en",
"license:other",
"arxiv:2209.09824",
"region:us"
] | 2022-09-01T23:20:17+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1k<10K"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "TweetTopicSingle"} | 2022-11-27T11:25:34+00:00 | [
"2209.09824"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #arxiv-2209.09824 #region-us
| Dataset Card for "cardiffnlp/tweet\_topic\_single"
==================================================
Dataset Description
-------------------
* Paper: URL
* Dataset: Tweet Topic Dataset
* Domain: Twitter
* Number of Class: 6
### Dataset Summary
This is the official repository of TweetTopic ("Twitter Topic Class... | [
"### Dataset Summary\n\n\nThis is the official repository of TweetTopic (\"Twitter Topic Classification\n, COLING main conference 2022\"), a topic classification dataset on Twitter with 6 labels.\nEach instance of TweetTopic comes with a timestamp which distributes from September 2019 to August 2021.\nSee cardiffnl... | [
"TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #arxiv-2209.09824 #region-us \n",
"### Dataset Summary\n\n\nThis is the official repository of TweetTopic (\"Twitter Topic Classification\n, COLING m... | [
64,
117,
103,
181,
22,
18,
17
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #arxiv-2209.09824 #region-us \n### Dataset Summary\n\n\nThis is the official repository of TweetTopic (\"Twitter Topic Classification\n, COLIN... |
8b820b74765bc3a114dd3d1cbb344ed857bef73b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: sshleifer/distilbart-xsum-9-6
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, vis... | autoevaluate/autoeval-staging-eval-xsum-default-21f5cd-15036097 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-02T08:24:44+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "sshleifer/distilbart-xsum-9-6", "metrics": ["accuracy"], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "summar... | 2022-09-02T08:46:38+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: sshleifer/distilbart-xsum-9-6
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model ev... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: sshleifer/distilbart-xsum-9-6\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's aut... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: sshleifer/distilbart-xsum-9-6\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo r... | [
13,
88,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: sshleifer/distilbart-xsum-9-6\n* Dataset: xsum\n* Config: default\n* Split: test\n\nT... |
7779c1f5ce465390fae18cef176c52cd371e8618 | # Unormalized AMI
```python
from datasets import load_dataset
ami = load_dataset("speech-seq2seq/ami", "ihm")
```
## TODO(PVP) - explain exactly what normalization was accepted what wasn't | speech-seq2seq/ami | [
"region:us"
] | 2022-09-02T09:47:53+00:00 | {} | 2022-09-06T22:03:11+00:00 | [] | [] | TAGS
#region-us
| # Unormalized AMI
## TODO(PVP) - explain exactly what normalization was accepted what wasn't | [
"# Unormalized AMI",
"## TODO(PVP) - explain exactly what normalization was accepted what wasn't"
] | [
"TAGS\n#region-us \n",
"# Unormalized AMI",
"## TODO(PVP) - explain exactly what normalization was accepted what wasn't"
] | [
6,
6,
20
] | [
"passage: TAGS\n#region-us \n# Unormalized AMI## TODO(PVP) - explain exactly what normalization was accepted what wasn't"
] |
ccc566cd8230464f03b0d045958aef0d4b98398d |
# Dataset Card for AIDS
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [Data... | graphs-datasets/AIDS | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T09:51:25+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:38:52+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for AIDS
=====================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licensing In... | [
"### Dataset Summary\n\n\nThe 'AIDS' dataset is a dataset containing compounds checked for evidence of anti-HIV activity..",
"### Supported Tasks and Leaderboards\n\n\n'AIDS' should be used for molecular classification, a binary classification task. The score used is accuracy with cross validation.\n\n\nExternal ... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'AIDS' dataset is a dataset containing compounds checked for evidence of anti-HIV activity..",
"### Supported Tasks and Leaderboards\n\n\n'AIDS' should be used for molecular classification, a binary classification t... | [
25,
32,
45,
25,
4,
158,
41,
18
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'AIDS' dataset is a dataset containing compounds checked for evidence of anti-HIV activity..### Supported Tasks and Leaderboards\n\n\n'AIDS' should be used for molecular classification, a binary classification task... |
d1caecd9c7c2f81ee392349d0f0fdf5512dd1b26 |
# Dataset Card for alchemy
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [D... | graphs-datasets/alchemy | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"arxiv:1906.09427",
"region:us"
] | 2022-09-02T10:08:39+00:00 | {"task_categories": ["graph-ml"], "licence": "mit"} | 2023-02-07T16:38:45+00:00 | [
"2007.08663",
"1906.09427"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #arxiv-1906.09427 #region-us
| Dataset Card for alchemy
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licens... | [
"### Dataset Summary\n\n\nThe 'alchemy' dataset is a molecular dataset, called Alchemy, which lists 12 quantum mechanical properties of 130,000+ organic molecules comprising up to 12 heavy atoms (C, N, O, S, F and Cl), sampled from the GDBMedChem database.",
"### Supported Tasks and Leaderboards\n\n\n'alchemy' sh... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #arxiv-1906.09427 #region-us \n",
"### Dataset Summary\n\n\nThe 'alchemy' dataset is a molecular dataset, called Alchemy, which lists 12 quantum mechanical properties of 130,000+ organic molecules comprising up to 12 heavy atoms (C, N, O, S, F and Cl), sampled fr... | [
34,
73,
46,
25,
4,
158,
41,
16
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #arxiv-1906.09427 #region-us \n### Dataset Summary\n\n\nThe 'alchemy' dataset is a molecular dataset, called Alchemy, which lists 12 quantum mechanical properties of 130,000+ organic molecules comprising up to 12 heavy atoms (C, N, O, S, F and Cl), sampled... |
4e808c91a6645b849e607e953196ea97f08d111e |
# Dataset Card for aspirin
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [D... | graphs-datasets/MD17-aspirin | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T10:24:39+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:38:29+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for aspirin
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licens... | [
"### Dataset Summary\n\n\nThe 'aspirin' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and forces are given in kcal/mol and kcal/mol/A respectively.",
"### Sup... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'aspirin' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and f... | [
25,
80,
57,
25,
4,
146,
41,
18
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'aspirin' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies an... |
2c4c5d74bb0492becb3a3aa6a7f4f0a5493c1220 |
# Dataset Card for benzene
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [D... | graphs-datasets/MD17-benzene | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T10:28:47+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:38:21+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for benzene
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licens... | [
"### Dataset Summary\n\n\nThe 'benzene' dataset is molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and forces are given in kcal/mol and kcal/mol/A respectively.",
"### Suppo... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'benzene' dataset is molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and for... | [
25,
78,
56,
25,
4,
146,
41,
18
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'benzene' dataset is molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and ... |
9435372f87fea2f32c41e31237400884a38c7830 |
# Dataset Card for ethanol
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [D... | graphs-datasets/MD17-ethanol | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T10:35:08+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:35:52+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for ethanol
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licens... | [
"### Dataset Summary\n\n\nThe 'ethanol' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and forces are given in kcal/mol and kcal/mol/A respectively.",
"### Sup... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'ethanol' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and f... | [
25,
80,
57,
25,
4,
146,
41,
33
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'ethanol' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies an... |
8825653ea5739fd0e81f07ac8b5e7eb943f3a2b2 |
# Dataset Card for malonaldehyde
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric... | graphs-datasets/MD17-malonaldehyde | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T10:39:54+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:37:48+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for malonaldehyde
==============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Informati... | [
"### Dataset Summary\n\n\nThe 'malonaldehyde' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and forces are given in kcal/mol and kcal/mol/A respectively.",
"#... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'malonaldehyde' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies... | [
25,
82,
59,
25,
4,
146,
41,
18
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'malonaldehyde' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energ... |
bd27d0058bea2ad52470d9072a3b5da6b97c1ac3 |
# Dataset Card for VaccinChatNL
## 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-stru... | clips/VaccinChatNL | [
"task_categories:text-classification",
"task_ids:intent-classification",
"annotations_creators:expert-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:nl",
"license:cc-by-4.0",
"covid-19",
"FAQ",
"question-a... | 2022-09-02T10:52:00+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["nl"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["intent-classification"], "pretty_na... | 2023-03-21T15:22:36+00:00 | [] | [
"nl"
] | TAGS
#task_categories-text-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Dutch #license-cc-by-4.0 #covid-19 #FAQ #question-answer pairs #region-us
| Dataset Card for VaccinChatNL
=============================
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
+ Annotations
+... | [
"### Dataset Summary\n\n\nVaccinChatNL is a Flemish Dutch FAQ dataset on the topic of COVID-19 vaccinations in Flanders. It consists of 12,833 user questions divided over 181 answer labels, thus providing large groups of semantically equivalent paraphrases (a many-to-one mapping of user questions to answer labels).... | [
"TAGS\n#task_categories-text-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Dutch #license-cc-by-4.0 #covid-19 #FAQ #question-answer pairs #region-us \n",
"###... | [
106,
100,
49,
43,
46,
38,
49,
5,
147,
44,
41,
78
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Dutch #license-cc-by-4.0 #covid-19 #FAQ #question-answer pairs #region-us \n... |
797ddc673b956eeaa235a6a372e2a29f105e20ba |
# Dataset Card for naphthalene
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
... | graphs-datasets/MD17-naphthalene | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T10:54:00+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:38:13+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for naphthalene
============================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
... | [
"### Dataset Summary\n\n\nThe 'naphthalene' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and forces are given in kcal/mol and kcal/mol/A respectively.",
"###... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'naphthalene' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies a... | [
25,
81,
58,
25,
4,
146,
41,
18
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'naphthalene' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energie... |
6311b15ea2069f1726abc865e486c3f7e7977f39 |
# Dataset Card for salicylic_acid
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometri... | graphs-datasets/MD17-salicylic_acid | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T11:07:48+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:37:57+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for salicylic\_acid
================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Infor... | [
"### Dataset Summary\n\n\nThe 'salicylic\\_acid' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and forces are given in kcal/mol and kcal/mol/A respectively.",
... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'salicylic\\_acid' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energ... | [
25,
84,
61,
25,
4,
146,
41,
18
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'salicylic\\_acid' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, en... |
02aabb462c01b362f4deee43ff294cf171bb7daf |
# Dataset Card for toluene
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [D... | graphs-datasets/MD17-toluene | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T11:12:43+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:38:05+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for toluene
========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licens... | [
"### Dataset Summary\n\n\nThe 'toluene' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and forces are given in kcal/mol and kcal/mol/A respectively.",
"### Sup... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'toluene' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and f... | [
25,
80,
57,
25,
4,
146,
41,
18
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'toluene' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies an... |
d4da9a780efd59e60bc2887bb69e2953cfb9b4db |
# Dataset Card for uracil
## 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)
- [External Use](#external-use)
- [PyGeometric](#pygeometric)
- [Da... | graphs-datasets/MD17-uracil | [
"task_categories:graph-ml",
"arxiv:2007.08663",
"region:us"
] | 2022-09-02T11:14:39+00:00 | {"task_categories": ["graph-ml"], "licence": "unknown"} | 2023-02-07T16:37:39+00:00 | [
"2007.08663"
] | [] | TAGS
#task_categories-graph-ml #arxiv-2007.08663 #region-us
| Dataset Card for uracil
=======================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* External Use
+ PyGeometric
* Dataset Structure
+ Data Properties
+ Data Fields
+ Data Splits
* Additional Information
+ Licensin... | [
"### Dataset Summary\n\n\nThe 'uracil' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and forces are given in kcal/mol and kcal/mol/A respectively.",
"### Supp... | [
"TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n",
"### Dataset Summary\n\n\nThe 'uracil' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and fo... | [
25,
79,
56,
25,
4,
146,
41,
18
] | [
"passage: TAGS\n#task_categories-graph-ml #arxiv-2007.08663 #region-us \n### Dataset Summary\n\n\nThe 'uracil' dataset is a molecular dynamics (MD) dataset. The total energy and force labels for each dataset were computed using the PBE+vdW-TS electronic structure method. All geometries are in Angstrom, energies and... |
b838e714070f32045d057422f620a88bd9689c43 |
This repo contains converted ECMWF ERA5 reanalysis files for both hourly atmospheric and land variables from Jan 2014 to October 2022. The data has been converted from the downloaded NetCDF files into Zarr using Xarray. Each file is 1 day of reanalysis, and so has 24 timesteps at a 0.25 degree grid resolution. All var... | openclimatefix/era5-reanalysis | [
"license:mit",
"region:us"
] | 2022-09-02T11:37:58+00:00 | {"license": "mit"} | 2022-12-01T15:18:54+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This repo contains converted ECMWF ERA5 reanalysis files for both hourly atmospheric and land variables from Jan 2014 to October 2022. The data has been converted from the downloaded NetCDF files into Zarr using Xarray. Each file is 1 day of reanalysis, and so has 24 timesteps at a 0.25 degree grid resolution. All var... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
029592ccdb7eae9bd59cb40f0c0b2c665148b2b2 |
# transformers metrics
This dataset contains metrics about the huggingface/transformers package.
Number of repositories in the dataset: 27067
Number of packages in the dataset: 823
## Package dependents
This contains the data available in the [used-by](https://github.com/huggingface/transformers/network/dependents... | open-source-metrics/transformers-dependents | [
"license:apache-2.0",
"github-stars",
"region:us"
] | 2022-09-02T12:05:00+00:00 | {"license": "apache-2.0", "pretty_name": "transformers metrics", "tags": ["github-stars"]} | 2024-02-17T02:33:56+00:00 | [] | [] | TAGS
#license-apache-2.0 #github-stars #region-us
| transformers metrics
====================
This dataset contains metrics about the huggingface/transformers package.
Number of repositories in the dataset: 27067
Number of packages in the dataset: 823
Package dependents
------------------
This contains the data available in the used-by
tab on GitHub.
### Packa... | [
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 65 packages that have more than 1000 stars.\n\n\nThere are 140 repositories that have more than 1000 stars.\n\n\nThe top 10 in each category are the following:\n\n\n*Package*\n\n\nhankc... | [
"TAGS\n#license-apache-2.0 #github-stars #region-us \n",
"### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 65 packages that have more than 1000 stars.\n\n\nThere are 140 repositories that have more than 1000 stars.\n\n\nThe top 10 in... | [
20,
261,
267
] | [
"passage: TAGS\n#license-apache-2.0 #github-stars #region-us \n### Package & Repository star count\n\n\nThis section shows the package and repository star count, individually.\n\n\n\nThere are 65 packages that have more than 1000 stars.\n\n\nThere are 140 repositories that have more than 1000 stars.\n\n\nThe top 10... |
499bfa2c7cd0923311f8f2c4b24c5ffe462db922 | # AutoTrain Dataset for project: dog-classifiers
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project dog-classifiers.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
``... | julien-c/autotrain-data-dog-classifiers | [
"task_categories:image-classification",
"region:us"
] | 2022-09-02T14:21:11+00:00 | {"task_categories": ["image-classification"]} | 2022-09-02T15:13:38+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: dog-classifiers
==============================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project dog-classifiers.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-image-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields ... | [
17,
27,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-image-classification #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also cal... |
61c35ebc14a9aec260ece1cb8061d3997663ea37 |
# STT-2 Spanish
## A Spanish translation (using [EasyNMT](https://github.com/UKPLab/EasyNMT)) of the [SST-2 Dataset](https://huggingface.co/datasets/sst2)
#### For more information check the official [Model Card](https://huggingface.co/datasets/sst2) | mrm8488/sst2-es-mt | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:sst2",
"language:es",
"license:unknown",
"region:us"
] | 2022-09-02T19:28:50+00:00 | {"language": ["es"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["sst2"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "Stanford Sentiment Treebank v2"} | 2022-09-03T15:41:42+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-sst2 #language-Spanish #license-unknown #region-us
|
# STT-2 Spanish
## A Spanish translation (using EasyNMT) of the SST-2 Dataset
#### For more information check the official Model Card | [
"# STT-2 Spanish",
"## A Spanish translation (using EasyNMT) of the SST-2 Dataset",
"#### For more information check the official Model Card"
] | [
"TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-sst2 #language-Spanish #license-unknown #region-us \n",
"# STT-2 Spanish",
"## A Spanish translation (using EasyNMT) of the SST-2 Dataset",
"#### For more in... | [
70,
5,
18,
10
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-sst2 #language-Spanish #license-unknown #region-us \n# STT-2 Spanish## A Spanish translation (using EasyNMT) of the SST-2 Dataset#### For more information... |
f881ecdb455e1ef7b7e70164df594a98ddf3424e | # GoEmotions Spanish
## A Spanish translation (using [EasyNMT](https://github.com/UKPLab/EasyNMT)) of the [GoEmotions](https://huggingface.co/datasets/sst2) dataset.
#### For more information check the official [Model Card](https://huggingface.co/datasets/go_emotions) | mrm8488/go_emotions-es-mt | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"source_datasets:go_emotions"... | 2022-09-02T19:59:52+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["es"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "10K<n<100K"], "source_datasets": ["go_emotions"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classifi... | 2022-10-20T18:23:36+00:00 | [] | [
"es"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #source_datasets-go_emotions #language-Spanish #license-apac... | # GoEmotions Spanish
## A Spanish translation (using EasyNMT) of the GoEmotions dataset.
#### For more information check the official Model Card | [
"# GoEmotions Spanish",
"## A Spanish translation (using EasyNMT) of the GoEmotions dataset.",
"#### For more information check the official Model Card"
] | [
"TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #source_datasets-go_emotions #language-Spanish #licens... | [
121,
6,
20,
10
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #size_categories-10K<n<100K #source_datasets-go_emotions #language-Spanis... |
21747468e4ffa56f4d4352d1cac863e46ca6b68f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs... | autoevaluate/autoeval-staging-eval-billsum-default-6d3727-15406134 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-02T22:05:06+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["billsum"], "eval_info": {"task": "summarization", "model": "pszemraj/led-large-book-summary", "metrics": [], "dataset_name": "billsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "summary"}}} | 2022-09-03T14:34:02+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mod... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-large-book-summary\n* Dataset: billsum\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face'... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-large-book-summary\n* Dataset: billsum\n* Config: default\n* Split: test\n\... | [
13,
88,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-large-book-summary\n* Dataset: billsum\n* Config: default\n* Split: test... |
0bb175d32c10b0d335b2b6c845f63669f7f7cc41 |
### dataset description
We downloaded open-reaction-database(ORD) dataset from [here](https://github.com/open-reaction-database/ord-data). As a preprocess, we removed overlapping data and canonicalized them using RDKit.
We used the following function to canonicalize the data and removed some SMILES that cannot be read... | sagawa/ord-uniq-canonicalized | [
"task_categories:text2text-generation",
"task_categories:translation",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"license:apache-2.0",
"ord",
"chemical",
"reaction",
"region:us"
] | 2022-09-03T03:28:23+00:00 | {"annotations_creators": [], "language_creators": [], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text2text-generation", "translation"], "task_ids": [], "pretty_name": "canonicalized ORD", "tags": ["ord", "chemical... | 2022-09-04T01:41:10+00:00 | [] | [] | TAGS
#task_categories-text2text-generation #task_categories-translation #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #license-apache-2.0 #ord #chemical #reaction #region-us
|
### dataset description
We downloaded open-reaction-database(ORD) dataset from here. As a preprocess, we removed overlapping data and canonicalized them using RDKit.
We used the following function to canonicalize the data and removed some SMILES that cannot be read by RDKit.
We randomly split the preprocessed d... | [
"### dataset description\nWe downloaded open-reaction-database(ORD) dataset from here. As a preprocess, we removed overlapping data and canonicalized them using RDKit.\nWe used the following function to canonicalize the data and removed some SMILES that cannot be read by RDKit.\n \n\n\nWe randomly split the prep... | [
"TAGS\n#task_categories-text2text-generation #task_categories-translation #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #license-apache-2.0 #ord #chemical #reaction #region-us \n",
"### dataset description\nWe downloaded open-reaction-database(ORD) dataset from here. As a prepro... | [
72,
94
] | [
"passage: TAGS\n#task_categories-text2text-generation #task_categories-translation #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #license-apache-2.0 #ord #chemical #reaction #region-us \n### dataset description\nWe downloaded open-reaction-database(ORD) dataset from here. As a pre... |
f83219601635a0a80fc99c13a9ca37f99ef34f0a |
### dataset description
We downloaded PubChem-10m dataset from [here](https://deepchemdata.s3-us-west-1.amazonaws.com/datasets/pubchem_10m.txt.zip) and canonicalized it.
We used the following function to canonicalize the data and removed some SMILES that cannot be read by RDKit.
```python:
from rdkit import Chem
... | sagawa/pubchem-10m-canonicalized | [
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"license:apache-2.0",
"PubChem",
"chemical",
"SMILES",
"region:us"
] | 2022-09-03T04:35:49+00:00 | {"annotations_creators": [], "language_creators": ["expert-generated"], "language": [], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": [], "task_ids": [], "pretty_name": "canonicalized PubChem-10m", "tags": ["PubChem",... | 2022-09-04T01:18:37+00:00 | [] | [] | TAGS
#language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #license-apache-2.0 #PubChem #chemical #SMILES #region-us
|
### dataset description
We downloaded PubChem-10m dataset from here and canonicalized it.
We used the following function to canonicalize the data and removed some SMILES that cannot be read by RDKit.
We randomly split the preprocessed data into train and validation. The ratio is 9 : 1. | [
"### dataset description\nWe downloaded PubChem-10m dataset from here and canonicalized it.\nWe used the following function to canonicalize the data and removed some SMILES that cannot be read by RDKit.\n \n\n\nWe randomly split the preprocessed data into train and validation. The ratio is 9 : 1."
] | [
"TAGS\n#language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #license-apache-2.0 #PubChem #chemical #SMILES #region-us \n",
"### dataset description\nWe downloaded PubChem-10m dataset from here and canonicalized it.\nWe used the following function to... | [
64,
70
] | [
"passage: TAGS\n#language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #license-apache-2.0 #PubChem #chemical #SMILES #region-us \n### dataset description\nWe downloaded PubChem-10m dataset from here and canonicalized it.\nWe used the following function... |
5497e797c551617bc1d94a859e4f3429f3d0b32d |
### dataset description
We downloaded ZINC dataset from [here](https://zinc15.docking.org/) and canonicalized it.
We used the following function to canonicalize the data and removed some SMILES that cannot be read by RDKit.
```python:
from rdkit import Chem
def canonicalize(mol):
mol = Chem.MolToSmiles(Chem.M... | sagawa/ZINC-canonicalized | [
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"license:apache-2.0",
"ZINC",
"chemical",
"SMILES",
"region:us"
] | 2022-09-03T05:01:18+00:00 | {"annotations_creators": [], "language_creators": ["expert-generated"], "language": [], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": [], "task_ids": [], "pretty_name": "canonicalized ZINC", "tags": ["ZINC", "chemica... | 2022-09-04T01:21:08+00:00 | [] | [] | TAGS
#language_creators-expert-generated #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #license-apache-2.0 #ZINC #chemical #SMILES #region-us
|
### dataset description
We downloaded ZINC dataset from here and canonicalized it.
We used the following function to canonicalize the data and removed some SMILES that cannot be read by RDKit.
We randomly split the preprocessed data into train and validation. The ratio is 9 : 1. | [
"### dataset description\nWe downloaded ZINC dataset from here and canonicalized it.\nWe used the following function to canonicalize the data and removed some SMILES that cannot be read by RDKit.\n \n\n\nWe randomly split the preprocessed data into train and validation. The ratio is 9 : 1."
] | [
"TAGS\n#language_creators-expert-generated #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #license-apache-2.0 #ZINC #chemical #SMILES #region-us \n",
"### dataset description\nWe downloaded ZINC dataset from here and canonicalized it.\nWe used the following function to canonica... | [
63,
68
] | [
"passage: TAGS\n#language_creators-expert-generated #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #license-apache-2.0 #ZINC #chemical #SMILES #region-us \n### dataset description\nWe downloaded ZINC dataset from here and canonicalized it.\nWe used the following function to canon... |
0b533459841603d5e5c20c41291bc8c981c49546 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: navsad/navid_test_bert
* Dataset: glue
* Config: cola
* Split: validation
To run new evaluation ... | autoevaluate/autoeval-staging-eval-glue-cola-42256f-15426136 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-03T12:50:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "navsad/navid_test_bert", "metrics": [], "dataset_name": "glue", "dataset_config": "cola", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}} | 2022-09-03T12:50:56+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: navsad/navid_test_bert
* Dataset: glue
* Config: cola
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: navsad/navid_test_bert\n* Dataset: glue\n* Config: cola\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging F... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: navsad/navid_test_bert\n* Dataset: glue\n* Config: cola\n* Split: validatio... | [
13,
87,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: navsad/navid_test_bert\n* Dataset: glue\n* Config: cola\n* Split: valida... |
7e22c8f616d706bebd86162860feabcf1c6affc4 |
# Dataset Card for Yandex_Jobs
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances... | Kirili4ik/yandex_jobs | [
"task_categories:text-generation",
"task_categories:summarization",
"task_categories:multiple-choice",
"task_ids:language-modeling",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:ru",... | 2022-09-03T16:22:02+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ru"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-generation", "summarization", "multiple-choice"], "task_ids": ["language-... | 2022-09-03T16:55:00+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text-generation #task_categories-summarization #task_categories-multiple-choice #task_ids-language-modeling #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Russian #license-unknown #vacancies #jo... |
# Dataset Card for Yandex_Jobs
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Considerations for Using the Data
- Contributions
## Dataset Description
###... | [
"# Dataset Card for Yandex_Jobs",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n- Considerations for Using the Data\n- Contributions",
"## Data... | [
"TAGS\n#task_categories-text-generation #task_categories-summarization #task_categories-multiple-choice #task_ids-language-modeling #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Russian #license-unknown #vacanci... | [
120,
10,
62,
4,
50,
67,
27,
6,
32,
225,
25,
64,
46,
15
] | [
"passage: TAGS\n#task_categories-text-generation #task_categories-summarization #task_categories-multiple-choice #task_ids-language-modeling #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Russian #license-unknown... |
ee8774c4c8a9c7812856f14bdefecab8fe1576d3 |
### Abstract
Social tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Such information can be valuable in building automatic systems to create tags for movies. Automatic tagging systems can help re... | cryptexcode/MPST | [
"license:cc-by-4.0",
"region:us"
] | 2022-09-03T17:44:29+00:00 | {"license": "cc-by-4.0"} | 2022-09-03T19:43:00+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
### Abstract
Social tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Such information can be valuable in building automatic systems to create tags for movies. Automatic tagging systems can help re... | [
"### Abstract \nSocial tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Such information can be valuable in building automatic systems to create tags for movies. Automatic tagging systems can he... | [
"TAGS\n#license-cc-by-4.0 #region-us \n",
"### Abstract \nSocial tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Such information can be valuable in building automatic systems to create tags ... | [
15,
229,
88,
43
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n### Abstract \nSocial tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Such information can be valuable in building automatic systems to create ta... |
cc63b218e0ec1fd354b4c094d3dc7be65e1a858a | # Dataset Card for "twowaydata"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | marcus2000/twowaydata | [
"region:us"
] | 2022-09-03T21:01:38+00:00 | {"dataset_info": {"features": [{"name": "0", "dtype": "string"}, {"name": "1", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26052853, "num_examples": 33014}, {"name": "validation", "num_bytes": 3144818, "num_examples": 4000}, {"name": "test", "num_bytes": 3374221, "num_examples": 4254}], "download_siz... | 2023-02-23T19:13:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "twowaydata"
More Information needed | [
"# Dataset Card for \"twowaydata\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"twowaydata\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"twowaydata\"\n\nMore Information needed"
] |
0adcd5a08b689305c0dae8cf2c75c0bce419072a | # Dataset Card for LibriVox Indonesia 1.0
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data... | indonesian-nlp/librivox-indonesia | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:librivox",
"language:ace",
"language:ban",
"language:bug",
"language:ind",
"language:min",
"langua... | 2022-09-03T23:13:16+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ace", "ban", "bug", "ind", "min", "jav", "sun"], "license": "cc", "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["librivox"], "task_categories": ["automatic-speech-recognition"], "p... | 2024-02-01T20:55:53+00:00 | [] | [
"ace",
"ban",
"bug",
"ind",
"min",
"jav",
"sun"
] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-librivox #language-Achinese #language-Balinese #language-Buginese #language-Indonesian #language-Minangkabau #language-Javanese #... | # Dataset Card for LibriVox Indonesia 1.0
## 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 Data
- Annotations
- Personal and S... | [
"# Dataset Card for LibriVox Indonesia 1.0",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotatio... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-librivox #language-Achinese #language-Balinese #language-Buginese #language-Indonesian #language-Minangkabau #language-Java... | [
121,
10,
120,
23,
193,
4,
6,
42,
245,
13,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
11
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-librivox #language-Achinese #language-Balinese #language-Buginese #language-Indonesian #language-Minangkabau #lang... |
01747f9e3b36fb579319d40898936edcd1a2a6af | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: tr... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-76e071-15436137 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-03T23:20:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["mae", "mse", "rouge", "squad"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split... | 2022-09-04T19:49:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, vis... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: train\n\nTo run new evalu... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* C... | [
13,
104,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n... |
c5eeea30aae0f63dcdad307f32e4009865949f14 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: tr... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-fd18e2-15446138 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-03T23:20:42+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["mae", "mse", "rouge", "squad"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split... | 2022-09-04T19:46:25+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, vis... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: train\n\nTo run new evalu... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* C... | [
13,
104,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n... |
31825c0782fc7a127974c4b9bbdbc9a94a76fbdc | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: tr... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-8aef96-15456139 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-03T23:49:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["mae", "mse", "rouge", "squad"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split... | 2022-09-04T20:11:30+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, vis... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: train\n\nTo run new evalu... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* C... | [
13,
104,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n... |
0d2ac8812872b678eb58191d0bf31a5d291c3759 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: tr... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-25032a-15466140 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-03T23:49:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["mae", "mse", "rouge", "squad"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split... | 2022-09-04T20:07:41+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, vis... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: train\n\nTo run new evalu... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* C... | [
13,
104,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n... |
72c2361371b0b7483028f438a82af75b3554d689 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: train
T... | autoevaluate/autoeval-staging-eval-samsum-samsum-096051-15476141 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-04T00:36:56+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "train", "col_mapping": {"text": "dialog... | 2022-09-04T01:25:02+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: train
To run new evaluation jobs, visit Hug... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: samsum\n* Split: train\n\nTo run new evaluation ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: ... | [
13,
101,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Confi... |
ad3dd0050b0c4d75e84eeaad39020c9499a4c0ce | This is a resume sentence classification dataset constructed based on resume text.(https://www.kaggle.com/datasets/oo7kartik/resume-text-batch)
The dataset have five category.(experience education knowledge project others ) And three element label(header content meta).
Because the dataset is a published paper, if y... | ganchengguang/resume-5label-classification | [
"region:us"
] | 2022-09-04T01:37:54+00:00 | {} | 2022-09-04T01:53:22+00:00 | [] | [] | TAGS
#region-us
| This is a resume sentence classification dataset constructed based on resume text.(URL)
The dataset have five category.(experience education knowledge project others ) And three element label(header content meta).
Because the dataset is a published paper, if you want to use this dataset in a paper or work, please c... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
f119500feb836ba3656b0fb9aa6b5291f53c92e9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: xsum
* Config: default
* Split: test
To ... | autoevaluate/autoeval-staging-eval-xsum-default-a80438-15496142 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-04T01:39:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document",... | 2022-09-04T02:28:51+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation jo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: xsum\n* Config: de... | [
13,
100,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: xsum\n* Config:... |
f7f6abf17cdb0a878c12cc9bca448a2cb710357f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: te... | autoevaluate/autoeval-staging-eval-cnn_dailymail-3.0.0-01441a-15506143 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-04T01:39:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"te... | 2022-09-04T02:30:03+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evalua... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n* C... | [
13,
104,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: cnn_dailymail\n... |
d8da37c6401feb23c939245046f08ea4b1ad4f94 |
# Dataset Card for lener_br_text_to_lm
## 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](#datas... | Luciano/lener_br_text_to_lm | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:pt",
"region:us"
] | 2022-09-04T09:36:21+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["pt"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["fill-mask", "text-generation"], "task_ids": ["masked-language-modeling", "language-modeling"], "pretty_name": "The L... | 2022-09-04T10:32:31+00:00 | [] | [
"pt"
] | TAGS
#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #language-Portuguese #region-us
|
# Dataset Card for lener_br_text_to_lm
## 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 Data
- Annotations
... | [
"# Dataset Card for lener_br_text_to_lm",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source D... | [
"TAGS\n#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #language-Portuguese #region-us \n",
"# Dataset Card for lener_br_text_to_lm",
"## Table of Contents\n- Table of Contents\n- ... | [
77,
15,
125,
24,
112,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
19
] | [
"passage: TAGS\n#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #language-Portuguese #region-us \n# Dataset Card for lener_br_text_to_lm## Table of Contents\n- Table of Contents\n- Dat... |
2636f596c4acb3c8832f51a7048f02b117226453 | # Dataset Card for MetaQA Agents' Predictions
## Dataset Description
- **Repository:** [MetaQA's Repository](https://github.com/UKPLab/MetaQA)
- **Paper:** [MetaQA: Combining Expert Agents for Multi-Skill Question Answering](https://arxiv.org/abs/2112.01922)
- **Point of Contact:** [Haritz Puerto](mailto:puerto@ukp.in... | haritzpuerto/MetaQA_Agents_Predictions | [
"task_categories:question-answering",
"multilinguality:monolingual",
"source_datasets:mrqa",
"source_datasets:duorc",
"source_datasets:qamr",
"source_datasets:boolq",
"source_datasets:commonsense_qa",
"source_datasets:hellaswag",
"source_datasets:social_i_qa",
"source_datasets:narrativeqa",
"lan... | 2022-09-04T14:50:38+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": ["mrqa", "duorc", "qamr", "boolq", "commonsense_qa", "hellaswag", "social_i_qa", "narrativeqa"], "task_categories": ["question-answering"], "... | 2022-09-04T19:16:51+00:00 | [
"2112.01922"
] | [
"en"
] | TAGS
#task_categories-question-answering #multilinguality-monolingual #source_datasets-mrqa #source_datasets-duorc #source_datasets-qamr #source_datasets-boolq #source_datasets-commonsense_qa #source_datasets-hellaswag #source_datasets-social_i_qa #source_datasets-narrativeqa #language-English #license-apache-2.0 #mult... | # Dataset Card for MetaQA Agents' Predictions
## Dataset Description
- Repository: MetaQA's Repository
- Paper: MetaQA: Combining Expert Agents for Multi-Skill Question Answering
- Point of Contact: Haritz Puerto
## Dataset Summary
This dataset contains the answer predictions of the QA agents for the QA datasets used... | [
"# Dataset Card for MetaQA Agents' Predictions",
"## Dataset Description\n- Repository: MetaQA's Repository\n- Paper: MetaQA: Combining Expert Agents for Multi-Skill Question Answering\n- Point of Contact: Haritz Puerto",
"## Dataset Summary\nThis dataset contains the answer predictions of the QA agents for the... | [
"TAGS\n#task_categories-question-answering #multilinguality-monolingual #source_datasets-mrqa #source_datasets-duorc #source_datasets-qamr #source_datasets-boolq #source_datasets-commonsense_qa #source_datasets-hellaswag #source_datasets-social_i_qa #source_datasets-narrativeqa #language-English #license-apache-2.0... | [
145,
13,
43,
47,
573,
196,
71,
35,
29,
67,
17,
14,
41,
8,
34,
51,
5,
24
] | [
"passage: TAGS\n#task_categories-question-answering #multilinguality-monolingual #source_datasets-mrqa #source_datasets-duorc #source_datasets-qamr #source_datasets-boolq #source_datasets-commonsense_qa #source_datasets-hellaswag #source_datasets-social_i_qa #source_datasets-narrativeqa #language-English #license-a... |
a189eae9498de2ace8b54290c3f94b7286a4c7c2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, vi... | autoevaluate/autoeval-staging-eval-samsum-samsum-0e4017-15526144 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-04T15:42:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "facebook/bart-large-cnn", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text": "dialogue", "target": "summary"}}} | 2022-09-04T15:46:04+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic model e... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's au... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo ... | [
13,
86,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\n... |
9d4e8f919e11525f564bd99fdfa71164b26c299a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validati... | autoevaluate/autoeval-staging-eval-samsum-samsum-a4ff98-15536145 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-04T15:42:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text": "d... | 2022-09-04T15:46:49+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo run new evalua... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: ... | [
13,
102,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Confi... |
02de1f4f6049b8d7f53d924789fbf67aa5244139 | KopI(Korpus Perayapan Indonesia)-NLLB, is Indonesian family language(aceh,bali,banjar,indonesia,jawa,minang,sunda) only extracted from NLLB Dataset, [allenai/nllb](https://huggingface.co/datasets/allenai/nllb)
each language set also filtered using some some deduplicate technique such as exact hash(md5) dedup technique... | acul3/KoPI-NLLB | [
"region:us"
] | 2022-09-04T15:52:01+00:00 | {} | 2022-09-06T04:49:03+00:00 | [] | [] | TAGS
#region-us
| KopI(Korpus Perayapan Indonesia)-NLLB, is Indonesian family language(aceh,bali,banjar,indonesia,jawa,minang,sunda) only extracted from NLLB Dataset, allenai/nllb
each language set also filtered using some some deduplicate technique such as exact hash(md5) dedup technique and minhash LSH neardup
detail soon | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
654c7c822d4e30e593b84c0d17ffe8f5415596d5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen1234/testing
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, vi... | autoevaluate/autoeval-staging-eval-samsum-samsum-70f55d-15546146 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-04T17:24:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen1234/testing", "metrics": ["rouge", "mse", "mae", "squad"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text": "dialo... | 2022-09-04T17:28:25+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen1234/testing
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic model e... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen1234/testing\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's au... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen1234/testing\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo ... | [
13,
84,
19
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen1234/testing\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\n... |
df39f858b9b08963848eeab993371aefa449f435 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, vi... | autoevaluate/autoeval-staging-eval-samsum-samsum-85416c-15556147 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-04T17:24:32+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "facebook/bart-large-cnn", "metrics": ["rouge", "mse", "mae", "squad"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text": "dialo... | 2022-09-04T17:27:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-cnn
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic model e... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's au... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo ... | [
13,
86,
19
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-cnn\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\n... |
0c95d910357f5e262bd04790e5122eda781573fe | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt
* Dataset: squad_v2
* Config: squad_v2
* Split: validation... | autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-00af64-15586150 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-05T01:39:12+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "21iridescent/RoBERTa-base-finetuned-squad2-lwt", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": ... | 2022-09-05T01:42:07+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluati... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt\n* Dataset: squad_v2\n* Config: squa... | [
13,
104,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: 21iridescent/RoBERTa-base-finetuned-squad2-lwt\n* Dataset: squad_v2\n* Config: s... |
bb02409110bba66779b85f0271cef0f482f04404 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validati... | autoevaluate/autoeval-staging-eval-samsum-samsum-175281-15596151 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-05T02:42:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["mse"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text... | 2022-09-05T02:46:20+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo run new evalua... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: ... | [
13,
102,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Confi... |
a63bf346e599e6796a015f39c17baa988b9e9f7e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validati... | autoevaluate/autoeval-staging-eval-samsum-samsum-41c5cd-15606152 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-05T02:42:25+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["mae"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text... | 2022-09-05T02:46:21+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo run new evalua... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: ... | [
13,
102,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Confi... |
3cb8c00aa2e79441a8358d44e42652bc6c90e10a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validati... | autoevaluate/autoeval-staging-eval-samsum-samsum-cc5bdf-15616153 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-09-05T02:42:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum", "metrics": ["mse"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "validation", "col_mapping": {"text... | 2022-09-05T02:47:47+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum
* Dataset: samsum
* Config: samsum
* Split: validation
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: samsum\n* Split: validation\n\nTo run new evalua... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Config: ... | [
13,
102,
18
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: SamuelAllen123/t5-efficient-large-nl36_fine_tuned_for_sum\n* Dataset: samsum\n* Confi... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.