Datasets:

librarian-bots

/

dataset_cards_with_metadata

like 8

Snoopy04/arc-de-harness-1k

Snoopy04

--- dataset_info: features: - name: id dtype: string - name: answer dtype: string - name: instruction dtype: string - name: option_a dtype: string - name: option_b dtype: string - name: option_c dtype: string - name: option_d dtype: string - name: option_e dtype: string splits: - name: train num_bytes: 389699 num_examples: 1116 - name: val num_bytes: 109210 num_examples: 298 - name: test num_bytes: 357720.2737382378 num_examples: 1000 download_size: 516317 dataset_size: 856629.2737382378 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* ---

Snoopy04/hellaswag-de-harness-1k

Snoopy04

--- dataset_info: features: - name: ctx_a dtype: string - name: ctx_b dtype: string - name: ctx dtype: string - name: endings sequence: string - name: id dtype: string - name: ind dtype: int64 - name: activity_label dtype: string - name: source_id dtype: string - name: split dtype: string - name: label dtype: string splits: - name: val num_bytes: 1338606.4261315116 num_examples: 1000 download_size: 763101 dataset_size: 1338606.4261315116 configs: - config_name: default data_files: - split: val path: data/val-* ---

Snoopy04/mmlu-de-harness-1k

Snoopy04

--- dataset_info: features: - name: instruction dtype: string - name: option_a dtype: string - name: option_b dtype: string - name: option_c dtype: string - name: option_d dtype: string - name: answer dtype: string - name: id dtype: string splits: - name: train num_bytes: 131922 num_examples: 277 - name: val num_bytes: 772250 num_examples: 1449 - name: test num_bytes: 526645.9496153266 num_examples: 1000 download_size: 915909 dataset_size: 1430817.9496153267 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* ---

hjawad367/ForestPickle

hjawad367

--- license: mit dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 1064774270.0 num_examples: 369 download_size: 361815484 dataset_size: 1064774270.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

hellosimple/processed_bert_dataset

hellosimple

--- dataset_info: features: - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 - name: special_tokens_mask sequence: int8 splits: - name: train num_bytes: 24027462000.0 num_examples: 6674295 download_size: 5887380148 dataset_size: 24027462000.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

airesearch/UD_Thai-PUD

airesearch

--- dataset_info: features: - name: words sequence: string - name: pos_tags sequence: class_label: names: '0': PUNCT '1': ADP '2': VERB '3': PART '4': NOUN '5': ADJ '6': AUX '7': DET '8': ADV '9': PROPN '10': CCONJ '11': PRON '12': NUM '13': SYM '14': SCONJ '15': X splits: - name: test num_bytes: 561336 num_examples: 1000 download_size: 92891 dataset_size: 561336 configs: - config_name: default data_files: - split: test path: data/test-* ---

SoftAge-AI/rlhf-general_dataset

SoftAge-AI

--- license: mit task_categories: - question-answering language: - en --- # RLHF General Data Sample ## Description This dataset supports research in Response Ranking for Large Language Models (RLHF) in the general domain. It contains 596 prompt-response pairs, each with the following data attributes: - M_Id & S.No.: Unique identifier for the prompt-response pair. - Prompt: The original query or problem statement. - Response 1 & 2: Responses generated by different language models. - Preference: Indicates which response is considered better (1 or 2). - Remark: Additional information about the ranking decision. - Safety labels (all Y/N): - Fails to follow instructions - Contains sexual content - Contains violent content - Encourages harmful behavior - Expresses moral judgment - Gives harmful advice ## Dataset Source This dataset is curated by the delivery team @SoftAge ## Limitations and Biases - This dataset might not capture the full diversity of general intelligence problems and response qualities. - Preference labels and safety ratings might reflect the inherent biases of human annotators or domain experts. ## Potential Uses • Training and analyzing RLHF models for generating informative and safe responses • Identifying areas for improvement in language models. • Developing new metrics and methods for RLHF in different domains.

Kamyar-zeinalipour/AFG_Llama_v2

Kamyar-zeinalipour

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 26859014 num_examples: 8020 - name: test num_bytes: 959755 num_examples: 300 download_size: 9995433 dataset_size: 27818769 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

Kamyar-zeinalipour/AFG_Mistral_v2

Kamyar-zeinalipour

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 26008894 num_examples: 8020 - name: test num_bytes: 927955 num_examples: 300 download_size: 9904877 dataset_size: 26936849 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

SoftAge-AI/rlhf-qa_dataset

SoftAge-AI

--- license: mit --- # RLHF Q&A Dataset With Citations ## Description This dataset provides 133 prompts of various types, including coding, math, general knowledge, personal queries, and writing tasks. Each prompt is followed by an answer generated by an LLM and a human, along with ratings for fluency and perceived utility. This dataset, though limited in its size and scope, serves as an illustration of SoftAge's capabilities in the domain of RLHF for training AI language agents. ## Data attributes - Query: Original prompt or question - Answers: Responses generated by a large language model. - Writer's Answer: The rewritten answer of the LLM curated by the domain expert human writer. - Fluency Rating (1-7): Human rating of the answer's natural language flow - Perceived Utility Rating (1-7): Human rating of the answer's helpfulness and relevance - Links: Up to 7 links potentially relevant to the answer to the query. ## Limitations and Biases - The dataset size might not comprehensively represent the full range of complexities within each query type. - Human biases might influence the quality and ratings of the provided answers. - The choice of the reference links might reflect the writer’s prior knowledge or search strategies. ## Potential Uses - Training RLHF models to generate fluent and informative rewrites of multiple prompts. - Evaluating the quality and effectiveness of RLHF models in different domains. - Analyzing human preferences and biases in response generation and rating. - Developing potential new metrics and evaluation methods for RLHF tasks.

Gideonah/sapher_qa_val

Gideonah

--- dataset_info: features: - name: text dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 644864 num_examples: 300 download_size: 175594 dataset_size: 644864 configs: - config_name: default data_files: - split: train path: data/train-* ---

honggen/hh_reward

honggen

--- license: apache-2.0 task_categories: - text-generation language: - en --- We use the reward distance to measure the hardness of responses. We selected the top 50% smallest distance.

johko/fashion-products-small-align-embeddings

johko

--- dataset_info: features: - name: filename dtype: string - name: link dtype: string - name: id dtype: string - name: masterCategory dtype: string - name: gender dtype: string - name: subCategory dtype: string - name: image dtype: image - name: align_embeddings sequence: sequence: float32 splits: - name: train num_bytes: 774133750.5 num_examples: 42700 download_size: 762339845 dataset_size: 774133750.5 configs: - config_name: default data_files: - split: train path: data/train-* ---

Miniruwan/aya_romanized_sinhala

Miniruwan

--- license: apache-2.0 ---

RenanDummel/Atendimento_Interno

RenanDummel

--- license: unknown ---

kristmh/highest_vs_rest

kristmh

--- configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validate path: data/validate-* dataset_info: features: - name: text_clean dtype: string - name: label dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 617097 num_examples: 937 - name: train num_bytes: 5202648 num_examples: 7487 - name: validate num_bytes: 600112 num_examples: 935 download_size: 2922420 dataset_size: 6419857 --- # Dataset Card for "highest_vs_rest" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Quay1k/Cross-Cultural-Multilingual-Teaching

Quay1k

--- license: apache-2.0 ---

kristmh/highest_and_high_vs_rest

kristmh

--- configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validate path: data/validate-* dataset_info: features: - name: text_clean dtype: string - name: label dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 1961211 num_examples: 2887 - name: train num_bytes: 15937151 num_examples: 23084 - name: validate num_bytes: 2019930 num_examples: 2885 download_size: 9088204 dataset_size: 19918292 --- # Dataset Card for "highest_and_high_vs_rest" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

mgreg555/samu_reference_book

mgreg555

--- license: unknown ---

groderg/test

groderg

--- license: apache-2.0 ---

asaoka/sample-large

asaoka

--- configs: - config_name: default data_files: - split: train path: "data/*.parquet" --- [Hugging Face データセット作成チュートリアル](https://colab.research.google.com/drive/11rl9Wie22JVIB5bjj3W6bnygfWFlNijW#scrollTo=XXlFnTh04WLc)で用いるサンプルデータです。 データはPMC OS Subsetの[oa_comm_xml.PMC010xxxxxx.baseline.2023-12-18.tar.gz](https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_bulk/oa_comm/xml/)から約40万件分の論文のAbstractを抽出して作成しました。

talha10/image_caption-100-v2

talha10

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 22842342.0 num_examples: 100 download_size: 22823708 dataset_size: 22842342.0 --- # Dataset Card for "image_caption-100-v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

polinaeterna/only_null

polinaeterna

--- dataset_info: features: - name: int dtype: int32 - name: float dtype: float32 - name: string dtype: string - name: class_label dtype: class_label: names: '0': '0' '1': '1' - name: bool dtype: bool splits: - name: train num_bytes: 1042 num_examples: 50 download_size: 2107 dataset_size: 1042 configs: - config_name: default data_files: - split: train path: data/train-* ---

inoid/SpanishMedicaLLM

inoid

--- license: cc-by-2.0 ---

Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-preference-64-nsample-8_random

Mitsuki-Sakamoto

--- dataset_info: - config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500 features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: preference dtype: int64 - name: output_1 dtype: string - name: output_2 dtype: string - name: reward_model_prompt_format dtype: string - name: gen_prompt_format dtype: string - name: gen_kwargs struct: - name: do_sample dtype: bool - name: max_new_tokens dtype: int64 - name: pad_token_id dtype: int64 - name: top_k dtype: int64 - name: top_p dtype: float64 - name: reward_1 dtype: float64 - name: reward_2 dtype: float64 - name: n_samples dtype: int64 - name: reject_select dtype: string splits: - name: preference num_bytes: 25769164 num_examples: 20001 download_size: 12288408 dataset_size: 25769164 - config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: preference dtype: int64 - name: output_1 dtype: string - name: output_2 dtype: string - name: reward_model_prompt_format dtype: string - name: gen_prompt_format dtype: string - name: gen_kwargs struct: - name: do_sample dtype: bool - name: max_new_tokens dtype: int64 - name: pad_token_id dtype: int64 - name: top_k dtype: int64 - name: top_p dtype: float64 - name: reward_1 dtype: float64 - name: reward_2 dtype: float64 - name: n_samples dtype: int64 - name: reject_select dtype: string splits: - name: preference num_bytes: 25841710 num_examples: 20001 download_size: 12249297 dataset_size: 25841710 - config_name: alpaca_instructions-pythia_70m_alpaca_farm_instructions_sft_constant_pa_seed_1 features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: preference dtype: int64 - name: output_1 dtype: string - name: output_2 dtype: string - name: reward_model_prompt_format dtype: string - name: gen_prompt_format dtype: string - name: gen_kwargs struct: - name: do_sample dtype: bool - name: max_new_tokens dtype: int64 - name: pad_token_id dtype: int64 - name: top_k dtype: int64 - name: top_p dtype: float64 - name: reward_1 dtype: float64 - name: reward_2 dtype: float64 - name: n_samples dtype: int64 - name: reject_select dtype: string splits: - name: preference num_bytes: 25739637 num_examples: 20001 download_size: 11961077 dataset_size: 25739637 configs: - config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500 data_files: - split: preference path: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500/preference-* - config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 data_files: - split: preference path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/preference-* - config_name: alpaca_instructions-pythia_70m_alpaca_farm_instructions_sft_constant_pa_seed_1 data_files: - split: preference path: alpaca_instructions-pythia_70m_alpaca_farm_instructions_sft_constant_pa_seed_1/preference-* ---

KoladeOdunope/blog_posting

KoladeOdunope

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 2493614 num_examples: 732 download_size: 1230749 dataset_size: 2493614 configs: - config_name: default data_files: - split: train path: data/train-* ---

Rahulrayudu/Farm_QA_Dataset_inst

Rahulrayudu

--- dataset_info: features: - name: Crop dtype: string - name: Label dtype: string - name: Question dtype: string - name: Answer dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 629733 num_examples: 839 download_size: 254469 dataset_size: 629733 configs: - config_name: default data_files: - split: train path: data/train-* ---

liataynat/Yoimiya

liataynat

--- dataset_info: features: - name: text dtype: string - name: id dtype: string - name: metadata struct: - name: file_path dtype: string - name: repo_id dtype: string - name: token_count dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 97272603 num_examples: 6790 download_size: 32996041 dataset_size: 97272603 configs: - config_name: default data_files: - split: train path: data/train-* ---

wildercb/PrivacyTextBooks1.2

wildercb

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 9350570 num_examples: 155008 download_size: 5519977 dataset_size: 9350570 --- # Dataset Card for "PrivacyTextBooks1.2" Training dataset containing text from privacy engineering text books and papers from the following : textbooks: Breached! - D. Solove Information privacy law - D. Solove Privacy _ what everyone needs to know-Oxford University Press (2017) - Leslie P. Francis, John G. Francis PrivacyEngineersManifesto Protection and privacy in transitional times William Stallings - Information Privacy Engineering and Privacy by Design_ Understanding privacy threats, technologies, and regulations (6 Dec 2019, Addison-Wesley Professional) papers / talks: Ive got nothing to hide - D. Solove Understanding privacy - D. Solove Right to privacy - Warren / Brandeis A critical analysis of privacy by design strategies - Colesky Stanford Philosophy Review - Privacy [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

saarus72/pikabu_text_norm

saarus72

--- license: apache-2.0 task_categories: - text-generation language: - ru size_categories: - 1M<n<10M --- Texts inverse normalized obtained from [pikabu](https://huggingface.co/datasets/IlyaGusev/pikabu) dataset. Normalized using [these notebooks](https://github.com/saarus72/text_normalization) for a personal [russian normalization model](https://huggingface.co/saarus72/russian_text_normalizer) (avaliable on [HF Space](https://huggingface.co/spaces/saarus72/russian-text-normalization) as well). All put into single `jsonl` file with lines like (beautified): ```json { "tn": "\\- Ну как так то? У нас в Норильске при минус сорока градусах в буран люди не замерзают, а у вас при минус десяти без ветра человек насмерть замёрз?", "itn": "\\- Ну как так то? У нас в Норильске при минус 40 градусах в буран люди не замерзают, а у вас при минус 10 без ветра человек насмерть замёрз?", "orig_index": 7178627, "text_index": 1, "replaces": [ { "text_from": "\\- Ну как так то? У нас в Норильске при минус ", "text_to": "\\- Ну как так то? У нас в Норильске при минус " }, { "text_from": "40", "text_to": "сорока" }, { "text_from": " градусах в буран люди не замерзают, а у вас при минус ", "text_to": " градусах в буран люди не замерзают, а у вас при минус " }, { "text_from": "10", "text_to": "десяти" }, { "text_from": " без ветра человек насмерть замёрз?", "text_to": " без ветра человек насмерть замёрз?" } ] } ```

burcusayin/pubmed_qa_labeled_fold0_source_binary_physician_acc

burcusayin

--- dataset_info: features: - name: QUESTION dtype: string - name: CONTEXTS sequence: string - name: LABELS sequence: string - name: MESHES sequence: string - name: YEAR dtype: string - name: reasoning_required_pred dtype: string - name: reasoning_free_pred dtype: string - name: final_decision dtype: string - name: LONG_ANSWER dtype: string - name: physician_70 dtype: string - name: physician_75 dtype: string - name: physician_80 dtype: string - name: physician_85 dtype: string - name: physician_90 dtype: string - name: physician_95 dtype: string splits: - name: test num_bytes: 941935 num_examples: 445 download_size: 494268 dataset_size: 941935 configs: - config_name: default data_files: - split: test path: data/test-* ---

suryadas/Resume_Data

suryadas

--- dataset_info: features: - name: ID dtype: int64 - name: Resume_str dtype: string - name: Resume_html dtype: string - name: Category dtype: string splits: - name: train num_bytes: 54565262 num_examples: 2484 download_size: 19925552 dataset_size: 54565262 configs: - config_name: default data_files: - split: train path: data/train-* ---

Chapian/PPE_detection

Chapian

--- task_categories: - object-detection tags: - roboflow - roboflow2huggingface --- ### Dataset Labels ``` ['ad', 'airsweeper', 'bombtower', 'canon', 'clancastle', 'eagle', 'inferno', 'kingpad', 'mortar', 'queenpad', 'rcpad', 'scattershot', 'th13', 'wardenpad', 'wizztower', 'xbow'] ``` from datasets import load_dataset dataset = load_dataset("Chapian/PPE_detection")

pioivenium/marketo_sample_dataset

pioivenium

--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 162997.9024390244 num_examples: 147 - name: test num_bytes: 18850.09756097561 num_examples: 17 download_size: 82616 dataset_size: 181848.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

shidowake/llama-inst-filtered-8k-sharegpt-format-single-turn

shidowake

--- dataset_info: features: - name: conv_id dtype: string - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 20103063 num_examples: 8092 download_size: 10101017 dataset_size: 20103063 configs: - config_name: default data_files: - split: train path: data/train-* ---

shapermindai/codealpaca-stanford

shapermindai

--- language: - en license: cc-by-nc-4.0 ---

barbaroo/STS

barbaroo

--- language: - fo size_categories: - 1K<n<10K license: cc-by-4.0 --- This is a synthetic Faroese Semantic Textual Similarity dataset. Labels range from 0 (no similarity) to 5 (the two sentences are completely equivalent). The dataset was generated by: - Translating sentences from the Basic Faroese Language Resource Kit (BLARK) corpus to English by leveraging a Nordic LLM, GPT-Sw3. - Sentences were compared to each other in terms of semantic similarity by Sentence BERT (SBERT, ) - Pairs of sentences were then sampled uniformly in terms of similarity score, to compile a balanced dataset. The dataset contains 200 sentences for each class (Similarity = 0,1,2,3,4,5).

CognitiveLab/Arc_kan

CognitiveLab

--- language: - kn configs: - config_name: ARC Challenge data_files: - split: train path: "ARC Challenge/arc_kan-train.json" - split: test path: "ARC Challenge/arc_kan-test.json" - split: validation path: "ARC Challenge/arc_kan-validation.json" - config_name: ARC Easy data_files: - split: train path: "ARC Easy/arc_easy_kan-train.json" - split: test path: "ARC Easy/arc_easy_kan-test.json" - split: validation path: "ARC Easy/arc_easy_kan-validation.json" --- # ARC Kannada

nluai/ZaloAI_ForMat

nluai

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: validation num_bytes: 253977 num_examples: 677 download_size: 126853 dataset_size: 253977 configs: - config_name: default data_files: - split: validation path: data/validation-* ---

aborruso/opencoesione

aborruso

--- license: cc-by-4.0 ---

schwepat/anonymized-amazon-dataset

schwepat

--- license: mit ---

JaehyungKim/p2c_dynasent2_all

JaehyungKim

--- license: other license_name: following-original-dataset license_link: LICENSE ---

minimario/math-openwebmath-retrievals

minimario

--- dataset_info: features: - name: problem dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: answer dtype: string - name: p_retrievals sequence: string - name: s_retrievals sequence: string - name: ps_retrievals sequence: string splits: - name: test num_bytes: 261081887 num_examples: 5000 - name: train num_bytes: 399597127 num_examples: 7500 download_size: 329948190 dataset_size: 660679014 configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* ---

anjan77/guanaco-llama2-1k

anjan77

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1654448 num_examples: 1000 download_size: 966692 dataset_size: 1654448 configs: - config_name: default data_files: - split: train path: data/train-* ---

audibeal/my-cool-dataset-4

audibeal

--- configs: - config_name: train data_files: "train.csv" - config_name: dev data_files: "dev.csv" - config_name: test data_files: "test.csv" ---

nluai/ZaloAI_NouResearch

nluai

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: validation num_bytes: 261148 num_examples: 687 download_size: 131765 dataset_size: 261148 configs: - config_name: default data_files: - split: validation path: data/validation-* ---

valurank/spam_ham_comments

valurank

--- license: other license_name: valurank license_link: LICENSE ---

imperialwarrior/open-australian-legal-qa-paraphrased-easy-gemini

imperialwarrior

--- dataset_info: features: - name: index dtype: 'null' - name: pipeline_1_result dtype: string - name: pipeline_1_result_embeddings dtype: string - name: pipeline_2_context dtype: string - name: pipeline_2_result dtype: string - name: pipeline_2_result_embeddings dtype: string - name: pipeline_3_context dtype: string - name: pipeline_3_result dtype: string - name: pipeline_3_result_embeddings dtype: string - name: pipeline_4_context dtype: string - name: pipeline_4_result dtype: string - name: pipeline_4_result_embeddings dtype: string - name: pipeline_5_context dtype: string - name: pipeline_5_result dtype: string - name: pipeline_5_result_embeddings dtype: string - name: pipeline_6_context dtype: string - name: pipeline_6_result dtype: string - name: pipeline_6_result_embeddings dtype: string - name: pipeline_7_context dtype: string - name: pipeline_7_result dtype: string - name: pipeline_7_result_embeddings dtype: string - name: referenced_question dtype: string - name: answer dtype: string - name: question dtype: string - name: question_non_retrieval_embeddings dtype: string - name: answer_non_retrieval_embeddings dtype: string - name: question_retrieval_embeddings dtype: string - name: answer_retrieval_embeddings dtype: string - name: __index_level_0__ dtype: float64 - name: case_index dtype: float64 - name: pipeline_6_case_indexes sequence: int64 - name: pipeline_7_case_indexes sequence: int64 splits: - name: train num_bytes: 41703799 num_examples: 207 download_size: 14322382 dataset_size: 41703799 configs: - config_name: default data_files: - split: train path: data/train-* ---

imperialwarrior/open-australian-legal-qa-paraphrased-hard-gemini

imperialwarrior

--- dataset_info: features: - name: index dtype: 'null' - name: pipeline_1_result dtype: string - name: pipeline_1_result_embeddings dtype: string - name: pipeline_2_context dtype: string - name: pipeline_2_result dtype: string - name: pipeline_2_result_embeddings dtype: string - name: pipeline_3_context dtype: string - name: pipeline_3_result dtype: string - name: pipeline_3_result_embeddings dtype: string - name: pipeline_4_context dtype: string - name: pipeline_4_result dtype: string - name: pipeline_4_result_embeddings dtype: string - name: pipeline_5_context dtype: string - name: pipeline_5_result dtype: string - name: pipeline_5_result_embeddings dtype: string - name: pipeline_6_context dtype: string - name: pipeline_6_result dtype: string - name: pipeline_6_result_embeddings dtype: string - name: pipeline_7_context dtype: string - name: pipeline_7_result dtype: string - name: pipeline_7_result_embeddings dtype: string - name: referenced_question dtype: string - name: answer dtype: string - name: question dtype: string - name: question_non_retrieval_embeddings dtype: string - name: answer_non_retrieval_embeddings dtype: string - name: question_retrieval_embeddings dtype: string - name: answer_retrieval_embeddings dtype: string - name: __index_level_0__ dtype: float64 - name: case_index dtype: float64 - name: pipeline_6_case_indexes sequence: int64 - name: pipeline_7_case_indexes sequence: int64 splits: - name: train num_bytes: 40967131 num_examples: 203 download_size: 14378490 dataset_size: 40967131 configs: - config_name: default data_files: - split: train path: data/train-* ---

ariji1/acn_train_Test

ariji1

--- license: apache-2.0 dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 74288.00649350649 num_examples: 123 - name: test num_bytes: 18722.993506493505 num_examples: 31 download_size: 49882 dataset_size: 93011.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

GusPuffy/python-decompiler-37-0.7-train

GusPuffy

--- license: unknown tags: - python - python3.7 - code pretty_name: p --- I don't know what the licenses are with the code that is in this dataset, so keep that in mind if you are using it. Pulled source code from the top 8k PyPi projects. If you own part of the data in the dataset and want to request it be removed please let me know and I will remove it.

ritwikraha/random-storage

ritwikraha

--- license: creativeml-openrail-m ---

carlavic/Ani

carlavic

--- license: openrail ---

florentgbelidji/ncbi_extracted_running

florentgbelidji

--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: title dtype: string - name: date dtype: string - name: authors dtype: string - name: language dtype: string splits: - name: train num_bytes: 19228492 num_examples: 432 download_size: 10192770 dataset_size: 19228492 --- # Dataset Card for "ncbi_extracted_running" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

charkgan/TheMET

charkgan

--- license: cc0-1.0 ---

Romildon/boa

Romildon

--- license: openrail ---

Kamran1367/Resume_Classificattion_Curated

Kamran1367

--- dataset_info: features: - name: Resume_str_cleaned dtype: string - name: Category dtype: string splits: - name: train num_bytes: 14301269 num_examples: 2484 download_size: 6769854 dataset_size: 14301269 configs: - config_name: default data_files: - split: train path: data/train-* --- This is a curated Resume Classification CSV file

maldv/cyberpunk

maldv

--- language: - en pretty_name: "Cyberpunk" tags: - book-data license: cc-by-nc-4.0 --- # Dataset - cyberpunk - **Developed by:** maldv - **License:** cc-by-nc-4.0 - **Methodology:** Formatting book data by paragaph for training ## Description Processing EBook data is much easier than having to deal with formatting long form book text. This is data artifacts from the processing a series of influential early cyberpunk books that I was able to find in epub format. Enclosed is a jupyter notebook demonstrating the methodology.

fede97/external_test_set_v1

fede97

--- dataset_info: features: - name: stable_unclip dtype: image - name: kandisky_2_2 dtype: image - name: multi_diffusion dtype: image - name: self_attention_guidance dtype: image - name: latent_consistency_xl dtype: image - name: kandisky_3 dtype: image - name: deepfloyd_if dtype: image - name: latent_consistency_model_simianluo dtype: image - name: amused dtype: image - name: stabilityai_stable_diffusion_2_1_base dtype: image - name: kandisky_2_1 dtype: image - name: sdxl_turbo dtype: image - name: stabilityai_stable_diffusion_xl_base_1_0 dtype: image - name: compvis_stable_diffusion_v1_4 dtype: image - name: pixart_alpha dtype: image - name: id dtype: string splits: - name: train num_bytes: 71299802571.0 num_examples: 4800 download_size: 71163208124 dataset_size: 71299802571.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

dar-tau/test-test

dar-tau

--- dataset_info: features: - name: logit_loss dtype: float64 - name: log_kl_loss dtype: float64 - name: mask_weight dtype: float64 - name: probe_loss dtype: float64 - name: top_k_acc dtype: float64 - name: attention_maps sequence: float32 - name: attention_maps_shape sequence: int64 splits: - name: train num_bytes: 83472 num_examples: 3 download_size: 11666 dataset_size: 83472 configs: - config_name: default data_files: - split: train path: data/train-* ---

Omriy123/Dogs_vs_Cats

Omriy123

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': cat '1': dog splits: - name: train num_bytes: 525901830.0 num_examples: 25000 download_size: 573158859 dataset_size: 525901830.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

halitefe/lima-tr

halitefe

--- task_categories: - translation - text2text-generation - question-answering language: - tr size_categories: - 1K<n<10K --- # LIMA-TR This project is dedicated to translating the LIMA (Less Is More for Alignment) dataset from English to Turkish using OpenAI's API (`gpt-3.5-turbo`) ## Source Dataset LIMA (Less Is More for Alignment) can be found [paper-link](https://arxiv.org/pdf/2305.11206.pdf) [dataset-link](https://huggingface.co/datasets/GAIR/lima)

tldoan/iNF200

tldoan

--- license: apache-2.0 --- # A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets (CLIP-M3) Official Datasets iNaturalist Fungi200 (iNF200)

zliu333/truck_at_port5

zliu333

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 52878226.0 num_examples: 36 download_size: 52870667 dataset_size: 52878226.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

adorkin/evalatin2024

adorkin

--- license: mit task_categories: - text-classification language: - la size_categories: - 10K<n<100K --- ## BibTeX entry and citation info ``` @misc{dorkin2024tartunlp, title={TartuNLP at EvaLatin 2024: Emotion Polarity Detection}, author={Aleksei Dorkin and Kairit Sirts}, year={2024}, eprint={2405.01159}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```

kovakavics/comfyuicuccaim

kovakavics

--- license: afl-3.0 ---

imperialwarrior/open-australian-legal-qa-paraphrased-moderation-results

imperialwarrior

--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: snippet dtype: string - name: question_retrieval_embeddings dtype: string - name: question_non_retrieval_embeddings dtype: string - name: answer_retrieval_embeddings dtype: string - name: answer_non_retrieval_embeddings dtype: string - name: snippet_retrieval_embeddings dtype: string - name: answer_moderation dtype: string - name: question_moderation dtype: string - name: snippet_moderation dtype: string splits: - name: train num_bytes: 509750534 num_examples: 2122 download_size: 176727859 dataset_size: 509750534 configs: - config_name: default data_files: - split: train path: data/train-* ---

mudassar93/data_piano

mudassar93

--- dataset_info: features: - name: response dtype: string - name: instruction dtype: string - name: chat dtype: string splits: - name: train num_bytes: 1080219 num_examples: 1823 download_size: 238567 dataset_size: 1080219 configs: - config_name: default data_files: - split: train path: data/train-* ---

apollo-research/monology-pile-uncopyrighted-tokenizer-EleutherAI-gpt-neox-20b

apollo-research

--- dataset_info: features: - name: input_ids sequence: int32 splits: - name: train num_bytes: 168975915696.0 num_examples: 20616876 download_size: 71503236187 dataset_size: 168975915696.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

taylorbollman/wikitext2_tb

taylorbollman

--- dataset_info: features: - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: test num_bytes: 3963136 num_examples: 2192 - name: train num_bytes: 33513088 num_examples: 18536 - name: validation num_bytes: 3467744 num_examples: 1918 download_size: 11981141 dataset_size: 40943968 configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validation path: data/validation-* ---

saadalafalcon/officialEmails

saadalafalcon

--- license: apache-2.0 ---

Weni/WeniGPT-QA-1.0.1_DPO

Weni

--- language: - pt dataset_info: features: - name: context dtype: string - name: question dtype: string - name: chosen_response dtype: string - name: rejected_response dtype: string - name: correct_ans dtype: int64 - name: flag_type dtype: int64 splits: - name: pt num_bytes: 27689890 num_examples: 3180 download_size: 14905751 dataset_size: 27689890 configs: - config_name: default data_files: - split: pt path: data/pt-* ---

chagasclone/agrecivo

chagasclone

--- license: openrail ---

allandclive/alpaca_4k_luganda

allandclive

--- task_categories: - text2text-generation - text-generation language: - lg --- # Alpaca 4k Luganda Translated using Google Translate

TetsAI2024/testset

TetsAI2024

--- license: apache-2.0 ---

hon9kon9ize/yue-toxic-dpo

hon9kon9ize

--- dataset_info: - config_name: yue features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: id dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 779960 num_examples: 531 download_size: 441753 dataset_size: 779960 - config_name: zh features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: id dtype: string splits: - name: train num_bytes: 825175 num_examples: 541 download_size: 472938 dataset_size: 825175 configs: - config_name: yue data_files: - split: train path: yue/train-* - config_name: zh data_files: - split: train path: zh/train-* tags: - not-for-all-audiences --- # Cantonese Toxic DPO v0.2 This dataset is a Cantonese and Simplified Chinese translation of [unalignment/toxic-dpo-v0.2](https://huggingface.co/datasets/unalignment/toxic-dpo-v0.2). For more detailed information about the original dataset, please refer to the provided link. This dataset is translated by Gemini Pro and has not undergone any manual verification. The content may be inaccurate or misleading. please keep this in mind when using this dataset. ## License This dataset is provided under the same license as the original dataset: CC BY 4.0 ## Limitation and Usage Limits Please check the original dataset for more information.

Rohit-D/synthetic-confidential-information-injected-business-excerpts

Rohit-D

--- license: mit task_categories: - question-answering - text-classification - feature-extraction - summarization language: - en tags: - business - fine-tuning size_categories: - n<=1K --- ## Synthetic Confidential Information Injected Business Excerpts This dataset aims to provide business report excerpts which contain relevant confidential/sensitive information. <pre> This includes mentions of : 1. Internal Marketing Strategies. 2. Proprietary Product Composition. 3. License Internals. 4. Internal Sales Projections. 5. Confidential Patent Details. 6. others. </pre> The dataset contains around 1k business excerpt - Reasons pairs. The Reason field contains the confidential portion from the business excerpt field in quotes and also reasons succintly (in about a line) as to why the quoted portion might be confidential. **Note** : All 'confidential information' injected is purely artifical and the business excerpts themselves along with companies, products, numbers, licenses, patents they reference or mention are hypothetical and artificial. This data is to be treated as pure simulation of what leaks in business excerpts might look like. This data does not contain or intend to provide any kind of actual/real cases of confidential information.

ravithejads/alpaca-cleaned-tagged

ravithejads

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: type dtype: string splits: - name: train num_bytes: 42276800 num_examples: 51760 download_size: 24347133 dataset_size: 42276800 configs: - config_name: default data_files: - split: train path: data/train-* ---

thafiz/llm-crossfit

thafiz

--- dataset_info: features: - name: input_ids sequence: int32 splits: - name: train num_bytes: 319644.0 num_examples: 39 - name: test num_bytes: 40980.0 num_examples: 5 download_size: 199220 dataset_size: 360624.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

fraviofranco/vozcortella

fraviofranco

--- license: openrail ---

dongyoung4091/hh-rlhf_with_features_flan_t5_large

dongyoung4091

--- dataset_info: features: - name: chosen dtype: string - name: rejected dtype: string - name: helpfulness_chosen dtype: int64 - name: helpfulness_rejected dtype: int64 - name: specificity_chosen dtype: int64 - name: specificity_rejected dtype: int64 - name: intent_chosen dtype: int64 - name: intent_rejected dtype: int64 - name: factuality_chosen dtype: int64 - name: factuality_rejected dtype: int64 - name: easy-to-understand_chosen dtype: int64 - name: easy-to-understand_rejected dtype: int64 - name: relevance_chosen dtype: int64 - name: relevance_rejected dtype: int64 - name: readability_chosen dtype: int64 - name: readability_rejected dtype: int64 - name: enough-detail_chosen dtype: int64 - name: enough-detail_rejected dtype: int64 - name: biased:_chosen dtype: int64 - name: biased:_rejected dtype: int64 - name: fail-to-consider-individual-preferences_chosen dtype: int64 - name: fail-to-consider-individual-preferences_rejected dtype: int64 - name: repetetive_chosen dtype: int64 - name: repetetive_rejected dtype: int64 - name: fail-to-consider-context_chosen dtype: int64 - name: fail-to-consider-context_rejected dtype: int64 - name: too-long_chosen dtype: int64 - name: too-long_rejected dtype: int64 - name: human dtype: string - name: assistant_chosen dtype: string - name: assistant_rejected dtype: string - name: log_score_chosen dtype: float64 - name: log_score_rejected dtype: float64 - name: labels dtype: string splits: - name: train num_bytes: 14434424 num_examples: 9574 - name: test num_bytes: 14378349 num_examples: 9574 download_size: 15748504 dataset_size: 28812773 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

dongyoung4091/hh-rlhf_with_features

dongyoung4091

--- dataset_info: features: - name: chosen dtype: string - name: rejected dtype: string - name: helpfulness_chosen dtype: int64 - name: helpfulness_rejected dtype: int64 - name: specificity_chosen dtype: int64 - name: specificity_rejected dtype: int64 - name: intent_chosen dtype: int64 - name: intent_rejected dtype: int64 - name: factuality_chosen dtype: int64 - name: factuality_rejected dtype: int64 - name: easy-to-understand_chosen dtype: int64 - name: easy-to-understand_rejected dtype: int64 - name: relevance_chosen dtype: int64 - name: relevance_rejected dtype: int64 - name: readability_chosen dtype: int64 - name: readability_rejected dtype: int64 - name: enough-detail_chosen dtype: int64 - name: enough-detail_rejected dtype: int64 - name: biased:_chosen dtype: int64 - name: biased:_rejected dtype: int64 - name: fail-to-consider-individual-preferences_chosen dtype: int64 - name: fail-to-consider-individual-preferences_rejected dtype: int64 - name: repetetive_chosen dtype: int64 - name: repetetive_rejected dtype: int64 - name: fail-to-consider-context_chosen dtype: int64 - name: fail-to-consider-context_rejected dtype: int64 - name: too-long_chosen dtype: int64 - name: too-long_rejected dtype: int64 - name: human dtype: string - name: assistant_chosen dtype: string - name: assistant_rejected dtype: string - name: labels dtype: string splits: - name: train num_bytes: 14281240 num_examples: 9574 - name: test num_bytes: 14225165 num_examples: 9574 download_size: 15456243 dataset_size: 28506405 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

dongyoung4091/shp_with_features_20k_flan_t5_large

dongyoung4091

--- dataset_info: features: - name: post_id dtype: string - name: domain dtype: string - name: upvote_ratio dtype: float64 - name: history dtype: string - name: c_root_id_A dtype: string - name: c_root_id_B dtype: string - name: created_at_utc_A dtype: int64 - name: created_at_utc_B dtype: int64 - name: score_A dtype: int64 - name: score_B dtype: int64 - name: human_ref_A dtype: string - name: human_ref_B dtype: string - name: labels dtype: int64 - name: seconds_difference dtype: float64 - name: score_ratio dtype: float64 - name: helpfulness_A dtype: float64 - name: helpfulness_B dtype: float64 - name: specificity_A dtype: float64 - name: specificity_B dtype: float64 - name: intent_A dtype: float64 - name: intent_B dtype: float64 - name: factuality_A dtype: float64 - name: factuality_B dtype: float64 - name: easy-to-understand_A dtype: float64 - name: easy-to-understand_B dtype: float64 - name: relevance_A dtype: float64 - name: relevance_B dtype: float64 - name: readability_A dtype: float64 - name: readability_B dtype: float64 - name: enough-detail_A dtype: float64 - name: enough-detail_B dtype: float64 - name: biased:_A dtype: float64 - name: biased:_B dtype: float64 - name: fail-to-consider-individual-preferences_A dtype: float64 - name: fail-to-consider-individual-preferences_B dtype: float64 - name: repetetive_A dtype: float64 - name: repetetive_B dtype: float64 - name: fail-to-consider-context_A dtype: float64 - name: fail-to-consider-context_B dtype: float64 - name: too-long_A dtype: float64 - name: too-long_B dtype: float64 - name: __index_level_0__ dtype: int64 - name: log_score_A dtype: float64 - name: log_score_B dtype: float64 splits: - name: train num_bytes: 20707062 num_examples: 9459 - name: test num_bytes: 20659940 num_examples: 9459 download_size: 23927350 dataset_size: 41367002 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

dongyoung4091/hh-generated_flan_t5_large_with_features2

dongyoung4091

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: 'biased:' dtype: int64 - name: easy-to-understand dtype: int64 - name: enough-detail dtype: int64 - name: factuality dtype: int64 - name: fail-to-consider-context dtype: int64 - name: fail-to-consider-individual-preferences dtype: int64 - name: helpfulness dtype: int64 - name: intent dtype: int64 - name: readability dtype: int64 - name: relevance dtype: int64 - name: repetetive dtype: int64 - name: specificity dtype: int64 - name: too-long dtype: int64 splits: - name: train num_bytes: 395323 num_examples: 1600 download_size: 76218 dataset_size: 395323 configs: - config_name: default data_files: - split: train path: data/train-* ---

jtatman/medical-sci-instruct-100k-sharegpt-chatml

jtatman

--- dataset_info: features: - name: text dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 1071589710 num_examples: 96557 download_size: 82474918 dataset_size: 1071589710 configs: - config_name: default data_files: - split: train path: data/train-* license: mit size_categories: - 10K<n<100K --- This is a reformat of the database formatted for Mistral training with chatml tokens added to the tokenizer, and '<|endoftext|>' as an end of sequence token. The max_length setting may need to be adjusted to include the additional tokens for training. This max_length was set to 2030 from 2048 for extra headroom.

gagan3012/arabic-xnli-pairwise

gagan3012

--- dataset_info: features: - name: labels sequence: int64 - name: sent1 sequence: string - name: sent2 sequence: string splits: - name: train num_bytes: 70811123 num_examples: 1 - name: test num_bytes: 850605 num_examples: 1 - name: validation num_bytes: 415074 num_examples: 1 download_size: 37859272 dataset_size: 72076802 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

dongyoung4091/shp_with_features_20k

dongyoung4091

--- dataset_info: features: - name: post_id dtype: string - name: domain dtype: string - name: upvote_ratio dtype: float64 - name: history dtype: string - name: c_root_id_A dtype: string - name: c_root_id_B dtype: string - name: created_at_utc_A dtype: int64 - name: created_at_utc_B dtype: int64 - name: score_A dtype: int64 - name: score_B dtype: int64 - name: human_ref_A dtype: string - name: human_ref_B dtype: string - name: labels dtype: int64 - name: seconds_difference dtype: float64 - name: score_ratio dtype: float64 - name: helpfulness_A dtype: float64 - name: helpfulness_B dtype: float64 - name: specificity_A dtype: float64 - name: specificity_B dtype: float64 - name: intent_A dtype: float64 - name: intent_B dtype: float64 - name: factuality_A dtype: float64 - name: factuality_B dtype: float64 - name: easy-to-understand_A dtype: float64 - name: easy-to-understand_B dtype: float64 - name: relevance_A dtype: float64 - name: relevance_B dtype: float64 - name: readability_A dtype: float64 - name: readability_B dtype: float64 - name: enough-detail_A dtype: float64 - name: enough-detail_B dtype: float64 - name: biased:_A dtype: float64 - name: biased:_B dtype: float64 - name: fail-to-consider-individual-preferences_A dtype: float64 - name: fail-to-consider-individual-preferences_B dtype: float64 - name: repetetive_A dtype: float64 - name: repetetive_B dtype: float64 - name: fail-to-consider-context_A dtype: float64 - name: fail-to-consider-context_B dtype: float64 - name: too-long_A dtype: float64 - name: too-long_B dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 20555718 num_examples: 9459 - name: test num_bytes: 20508596 num_examples: 9459 download_size: 23638147 dataset_size: 41064314 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

felipesampaio2010/clarestaravenska

felipesampaio2010

--- license: openrail ---

ZHLiu627/ultrafeedback_binarized_with_response_full

ZHLiu627

--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: score_chosen dtype: float64 - name: score_rejected dtype: float64 - name: reference_response dtype: string splits: - name: train_prefs num_bytes: 510824465 num_examples: 61135 download_size: 0 dataset_size: 510824465 configs: - config_name: default data_files: - split: train_prefs path: data/train_prefs-* --- # Dataset Card for "ultrafeedback_binarized_with_response_full" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

vinisebk/jc_chasez

vinisebk

--- license: openrail ---

gagan3012/arabic-sts-pairwise

gagan3012

--- dataset_info: features: - name: labels sequence: int64 - name: sent1 sequence: string - name: sent2 sequence: string splits: - name: train num_bytes: 227137 num_examples: 1 - name: validation num_bytes: 63521 num_examples: 1 - name: test num_bytes: 33531 num_examples: 1 download_size: 182982 dataset_size: 324189 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

gagan3012/arabic-mq2q-pairwise

gagan3012

--- dataset_info: features: - name: labels sequence: int64 - name: sent1 sequence: string - name: sent2 sequence: string splits: - name: train num_bytes: 1193021 num_examples: 1 - name: validation num_bytes: 150359 num_examples: 1 - name: test num_bytes: 148942 num_examples: 1 download_size: 523830 dataset_size: 1492322 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

luzDP/Thiago_Minos

luzDP

--- license: openrail ---

gagan3012/arabic-ans-stance-pairwise

gagan3012

--- dataset_info: features: - name: labels sequence: int64 - name: sent1 sequence: string - name: sent2 sequence: string splits: - name: train num_bytes: 511126 num_examples: 1 - name: validation num_bytes: 147950 num_examples: 1 - name: test num_bytes: 73556 num_examples: 1 download_size: 296560 dataset_size: 732632 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

johnsonkuan/wiki_en_chunks_sample

johnsonkuan

--- dataset_info: features: - name: id dtype: string - name: url dtype: string - name: title dtype: string - name: chunk dtype: string - name: chunk_seq dtype: int64 - name: chunk_md5 dtype: string splits: - name: train num_bytes: 2882990493 num_examples: 6019103 download_size: 1736043605 dataset_size: 2882990493 configs: - config_name: default data_files: - split: train path: data/train-* ---

stanmalkinson199/2Ddattaset

stanmalkinson199

--- license: openrail ---

CronosGhost/cpp-code-reranking

CronosGhost

--- dataset_info: features: - name: query dtype: string - name: positive sequence: string - name: negative sequence: string splits: - name: train num_bytes: 23231663.1 num_examples: 9900 - name: test num_bytes: 2581295.9 num_examples: 1100 download_size: 10424834 dataset_size: 25812959.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

bulkbeings/emma_assistant_conversations_v0.1

bulkbeings

--- license: mit ---

mou3az/Question-Answering-Generation-Choices

mou3az

--- license: apache-2.0 task_categories: - question-answering - text2text-generation - text-generation - fill-mask language: - en size_categories: - 10K<n<100K --- # The dataset is a merged compilation of QuAIL, RACE, and Cosmos QA datasets, # having undergone preprocessing.

goatman/metahuman-gaze-prediction

goatman

--- license: apache-2.0 --- #Extract and normalize the coordinates (dodgy version for testing) def get_coords_metahuman(file: Path): im_id, character, xcoord, ycoord, xsize, ysize = file.name.split('.jpg')[:-1][0].split('_') xcoord, ycoord, xsize, ysize = float(xcoord), float(ycoord), float(xsize), float(ysize) base_screensize = tensor([46.49, 26.15]) # generic width and height measurement in cms given by gpt4 as a likely mean screen size normalized_screensize = tensor([xsize, ysize])/base_screensize x = (xcoord)/xsize y = (ycoord)/ysize # normalize to range -0.5, 0.5 return tensor([x, y])