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librarian-bots

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Librarian Bots 67

seonggyun/carpet_thread

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 40199372.16 num_examples: 2016 download_size: 21672141 dataset_size: 40199372.16 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/pill_color

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 11440178.592 num_examples: 2016 download_size: 6050113 dataset_size: 11440178.592 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/pill_combined

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 9969014.688 num_examples: 2016 download_size: 6319693 dataset_size: 9969014.688 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/pill_contamination

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 9739753.152 num_examples: 2016 download_size: 5345981 dataset_size: 9739753.152 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/pill_crack

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 9978203.616 num_examples: 2016 download_size: 5413543 dataset_size: 9978203.616 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/pill_faulty_imprint

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 10092537.024 num_examples: 2016 download_size: 5986289 dataset_size: 10092537.024 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/pill_pill_type

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 11035486.752 num_examples: 2016 download_size: 8536538 dataset_size: 11035486.752 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/pill_scratch

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 9956003.424 num_examples: 2016 download_size: 6081121 dataset_size: 9956003.424 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/screw_manipulated_front

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 9047299.488 num_examples: 2016 download_size: 4731251 dataset_size: 9047299.488 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/screw_scratch_head

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 11790021.6 num_examples: 2520 download_size: 5116977 dataset_size: 11790021.6 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/screw_scratch_neck

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 11616218.529 num_examples: 2519 download_size: 5073529 dataset_size: 11616218.529 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/screw_thread_side

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 12152584.161 num_examples: 2519 download_size: 5311644 dataset_size: 12152584.161 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/screw_thread_top

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 11750349.24 num_examples: 2520 download_size: 5640209 dataset_size: 11750349.24 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/tile_crack

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 27188005.344 num_examples: 2016 download_size: 17145929 dataset_size: 27188005.344 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/tile_glue_strip

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 27124301.76 num_examples: 2016 download_size: 15588576 dataset_size: 27124301.76 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/tile_gray_stroke

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 28505370.624 num_examples: 2016 download_size: 16100062 dataset_size: 28505370.624 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/tile_oil

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 31149681.216 num_examples: 2016 download_size: 17438757 dataset_size: 31149681.216 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/tile_rough

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 29472417.6 num_examples: 2016 download_size: 16643367 dataset_size: 29472417.6 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/toothbrush_defective

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 11704947.936 num_examples: 2016 download_size: 7034537 dataset_size: 11704947.936 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/transistor_bent_lead

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 17684651.904 num_examples: 2016 download_size: 9267781 dataset_size: 17684651.904 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/transistor_cut_lead

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 17454725.088 num_examples: 2016 download_size: 9539606 dataset_size: 17454725.088 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/transistor_damaged_case

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 17681353.728 num_examples: 2016 download_size: 9744011 dataset_size: 17681353.728 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/transistor_misplaced

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 17743825.536 num_examples: 2016 download_size: 11478701 dataset_size: 17743825.536 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/wood_color

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 18042054.432 num_examples: 2016 download_size: 10459402 dataset_size: 18042054.432 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/wood_combined

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 18424116.672 num_examples: 2016 download_size: 11322535 dataset_size: 18424116.672 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/wood_hole

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 18025128.096 num_examples: 2016 download_size: 10748249 dataset_size: 18025128.096 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/wood_liquid

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 17594933.856 num_examples: 2016 download_size: 10508002 dataset_size: 17594933.856 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/wood_scratch

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 19739441.76 num_examples: 2016 download_size: 12929453 dataset_size: 19739441.76 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/zipper_broken_teeth

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 18629859.552 num_examples: 2016 download_size: 10395517 dataset_size: 18629859.552 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/zipper_combined

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 19397362.848 num_examples: 2016 download_size: 11490006 dataset_size: 19397362.848 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/zipper_fabric_border

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 19790831.616 num_examples: 2016 download_size: 10791880 dataset_size: 19790831.616 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/zipper_fabric_interior

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 19197909.888 num_examples: 2016 download_size: 10951722 dataset_size: 19197909.888 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/zipper_rough

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 19204933.632 num_examples: 2016 download_size: 11336635 dataset_size: 19204933.632 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/zipper_split_teeth

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 19062140.352 num_examples: 2016 download_size: 10442201 dataset_size: 19062140.352 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/zipper_squeezed_teeth

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 19034150.208 num_examples: 2016 download_size: 10115400 dataset_size: 19034150.208 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/metal_nut_bent

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 15971285.76 num_examples: 2016 download_size: 9555901 dataset_size: 15971285.76 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/metal_nut_color

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 16119915.36 num_examples: 2016 download_size: 9448817 dataset_size: 16119915.36 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/metal_nut_flip

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 13228283.904 num_examples: 2016 download_size: 11016008 dataset_size: 13228283.904 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/metal_nut_scratch

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 15364935.456 num_examples: 2016 download_size: 10823403 dataset_size: 15364935.456 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/grid_modified_bent

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 8396007.688000001 num_examples: 1008 download_size: 7809708 dataset_size: 8396007.688000001 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/grid_modified_broken

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 8593487.992 num_examples: 1008 download_size: 8085118 dataset_size: 8593487.992 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/grid_modified_glue

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 10092135.016 num_examples: 1008 download_size: 9419091 dataset_size: 10092135.016 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/grid_modified_metal_contamination

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 10832680.36 num_examples: 1008 download_size: 10168439 dataset_size: 10832680.36 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/grid_modified_thread

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 11042692.12 num_examples: 1008 download_size: 10476639 dataset_size: 11042692.12 configs: - config_name: default data_files: - split: train path: data/train-* ---

Geralt-Targaryen/stack

Geralt-Targaryen

--- language: - en --- A subset (about 3/10) of [the stack](https://huggingface.co/datasets/Zyphra/Zyda/tree/main/data/zyda_starcoder/zyda_starcoder-languages) that has been filtered and decontaminated. Based on the language distribution in the original data, only the following high-resource programming languages are retained: java, javascript, php, python, c-sharp, typescript, c, cpp, go, html, ruby, kotlin, shell, rust. Non-conventional programming languages such as markdown and json are removed. All non-English files are removed. This dataset has been decontaminated with respect to the following benchmarks based on n-gram overlap: - GLUE (dev set of SST-2, CoLA, QQP, WNLI, RTE, QNLI, MNLI; test set of MPRC) - SIQA, PIQA, QASC, CSQA (all dev set) - BoolQ (dev set) - WinoGrande (dev set) - ANLI (test set) - ARC easy and challenge (test set) - RACE middle and high (test set) - MMLU (dev, val, and test sets) - MATH, GSM8K (test set) - HumanEval (test set) - MBPP (all 974 questions) 18 documents are removed during decontamination. ### Dataset Statistics Number of samples: 28,526,818. Size of downloaded parquet files: 43G.

seonggyun/bottle_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 44220725.52 num_examples: 6048 download_size: 26718489 dataset_size: 44220725.52 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/cable_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 196485268.872 num_examples: 16128 download_size: 108419443 dataset_size: 196485268.872 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/capsule_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 46246271.12 num_examples: 10080 download_size: 27470104 dataset_size: 46246271.12 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/carpet_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 195623907.92 num_examples: 10080 download_size: 103395220 dataset_size: 195623907.92 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/grid_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 147253364.72 num_examples: 10080 download_size: 92828749 dataset_size: 147253364.72 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/hazelnut_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 36095961.184 num_examples: 8064 download_size: 23966341 dataset_size: 36095961.184 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/metal_nut_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 28741032.896 num_examples: 4032 download_size: 20501843 dataset_size: 28741032.896 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/pill_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 34794253.208 num_examples: 7056 download_size: 21733772 dataset_size: 34794253.208 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/screw_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 35372459.12 num_examples: 7560 download_size: 13966673 dataset_size: 35372459.12 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/tile_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 135231039.44 num_examples: 10080 download_size: 82750198 dataset_size: 135231039.44 configs: - config_name: default data_files: - split: train path: data/train-* ---

shanto268/pinterest_recipes

shanto268

--- license: mit configs: - config_name: dishcord_recipes data_files: - split: train path: recipes_all_analyzed.json language: - en tags: - recipes - cooking - ai-gen - pinterest - food pretty_name: DishCord Recipes Dataset size_categories: - n<1K --- # DishCord Recipes Dataset ## Overview The **DishCord Recipes Dataset** is a collection of structured recipe information sourced from Pinterest boards, curated and enhanced by the DishCord bot. It includes recipe details such as titles, ingredients, cuisine types, preparation difficulty, and estimated preparation times. The dataset was created using a combination of scraping and local LLMs to enrich the data with tags and context. It is ideal for applications in food recommendation systems, recipe exploration, and AI-based culinary suggestions. Associated GitHub Project: https://github.com/shanto268/DishCord --- ## Dataset Description ### Fields Each recipe in the dataset includes the following fields: - **pinterest_url**: Link to the original Pinterest pin. - **source_url**: Link to the original recipe source. - **title**: The name of the recipe (scraped from the source). - **image_url**: URL of the recipe's image. - **ingredients**: A list of ingredients used in the recipe. - **extra**: Additional metadata: - **cuisines**: A list of cuisine tags (e.g., `"Italian"`, `"Seafood"`). - **difficulty**: Estimated difficulty of preparation (`"easy"`, `"medium"`, `"tough"`). - **time**: Estimated preparation time (e.g., `"30 minutes"`, `"2 hours"`). --- ### Sample Entry ```json { "pinterest_url": "https://www.pinterest.com/pin/1079456604485151479/", "source_url": "https://ar.pinterest.com/pin/323625923240367692/", "recipe_data": { "title": "Shrimp Pesto Pasta", "image_url": "https://i.pinimg.com/736x/7f/8c/6d/7f8c6d899b0648cefeb120f51d026aaa.jpg", "ingredients": [ "1 lb Shrimp", "2 cloves Garlic", "1 Lemon", "1 tbsp Lemon, zest", "3 cups Chicken broth, low-sodium", "1/3 cup Pesto", "1 lb Linguini", "1 Black pepper, freshly ground", "1 Kosher salt", "1 tsp Red pepper flakes", "1 tbsp Olive oil, extra virgin", "1/3 cup Parmesan" ], "extra": { "cuisines": ["Italian", "Seafood", "Mediterranean"], "difficulty": "medium", "time": "45 minutes" } } }

seonggyun/leather_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 91672222.516 num_examples: 9978 download_size: 50628675 dataset_size: 91672222.516 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/toothbrush_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 11705550.736 num_examples: 2016 download_size: 7059593 dataset_size: 11705550.736 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/transistor_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 69957414.88 num_examples: 8064 download_size: 40038959 dataset_size: 69957414.88 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/wood_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 91784656.88 num_examples: 10080 download_size: 56010127 dataset_size: 91784656.88 configs: - config_name: default data_files: - split: train path: data/train-* ---

seonggyun/zipper_iscore

seonggyun

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': image '1': mask splits: - name: train num_bytes: 135145836.056 num_examples: 14112 download_size: 75471812 dataset_size: 135145836.056 configs: - config_name: default data_files: - split: train path: data/train-* ---

Neo111x/decompile_human_eval_benchmark

Neo111x

--- dataset_info: features: - name: task_id dtype: int64 - name: type dtype: string - name: c_func dtype: string - name: c_test dtype: string - name: input_asm_prompt dtype: string splits: - name: train num_bytes: 1524531 num_examples: 656 download_size: 265045 dataset_size: 1524531 configs: - config_name: default data_files: - split: train path: data/train-* ---

ifc0nfig/whisper_fine_tune

ifc0nfig

--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string splits: - name: train num_bytes: 9712676.401234567 num_examples: 259 - name: test num_bytes: 1767137.5987654321 num_examples: 65 download_size: 11496551 dataset_size: 11479814.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

ifc0nfig/whisper_fine_tune_v1

ifc0nfig

--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string splits: - name: train num_bytes: 94985570.63228534 num_examples: 1816 - name: test num_bytes: 24766736.88771466 num_examples: 455 download_size: 120345971 dataset_size: 119752307.52000001 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

daqc/medicina-qa-dpo-orpo-format-es

daqc

--- dataset_info: features: - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 3653500 num_examples: 10000 download_size: 793761 dataset_size: 3653500 configs: - config_name: default data_files: - split: train path: data/train-* ---

daqc/medicina-qa-binarized-dpo-orpo-es

daqc

--- dataset_info: features: - name: question dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 3992670.0 num_examples: 9000 - name: test num_bytes: 443630.0 num_examples: 1000 download_size: 1811046 dataset_size: 4436300.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

RyanYr/reflect_om2-300ktoEOF-AgG8k_llama8b-t0

RyanYr

--- dataset_info: features: - name: problem dtype: string - name: generated_solution dtype: string - name: answer dtype: string - name: problem_source dtype: string - name: response@0 sequence: string splits: - name: train num_bytes: 97760616.86608334 num_examples: 21935 download_size: 20811909 dataset_size: 97760616.86608334 configs: - config_name: default data_files: - split: train path: data/train-* ---

pvduy/ppo_verl_math

pvduy

--- dataset_info: features: - name: problem dtype: string - name: solution dtype: string - name: final_answer dtype: string - name: source dtype: string - name: index dtype: int64 - name: extra_info struct: - name: index dtype: int64 - name: split dtype: string - name: reward_model struct: - name: ground_truth dtype: string - name: style dtype: string - name: prompt list: - name: content dtype: string - name: role dtype: string - name: data_source dtype: string splits: - name: train num_bytes: 180796352 num_examples: 116812 download_size: 83798698 dataset_size: 180796352 configs: - config_name: default data_files: - split: train path: data/train-* ---

json1018/korea_three_kingdoms

json1018

--- license: unlicense ---

primeai7460/hackmentor-instruction

primeai7460

--- license: apache-2.0 language: - en --- # HackMentor: Fine-Tuning Large Language Models for Cybersecurity HackMentor is a cybersecurity LLMs (Large Language Models) focused on domain-specific data fine-tuning. This project consists of three main parts: data construction, model training, and model evaluation. ### Features - Data construction: Methods and tools for creating domain-specific datasets (instructions & conversations) for fine-tuning LLMs. - Model training: Techniques and processes for training LLMs on the constructed datasets. - Model evaluation: Metrics and evaluation methodologies to assess the performance of the fine-tuned models. ### Acknowledgements This project refers to the following open source projects, and I would like to express my gratitude to the relevant projects and research and development personnel. - Llama by Meta - FastChat by @im-sys - Stanford_alpaca by @tatsu-lab # Citation The dataset belongs to these fellows, it only posted here for educational purposes. ``` @inproceedings{hackmentor2023, title={HackMentor: Fine-tuning Large Language Models for Cybersecurity}, author={Jie Zhang, Hui Wen*, Liting Deng, Mingfeng Xin, Zhi Li, Lun Li, Hongsong Zhu, and Limin Sun}, booktitle={2023 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)}, year={2023}, organization={IEEE} } ```

NetworkChuck123/finetuning_demo

NetworkChuck123

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 4463 num_examples: 7 download_size: 6355 dataset_size: 4463 configs: - config_name: default data_files: - split: train path: data/train-* ---

ninetyone/so100_test

ninetyone

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100 - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "so100", "total_episodes": 1, "total_frames": 894, "total_tasks": 1, "total_videos": 1, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

khoantap/distil-gpt-4o-mini

khoantap

--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': games '1': home_and_garden '2': news '3': shopping '4': law_and_government '5': business_and_industrial '6': computer_and_electronic '7': jobs_and_education '8': health '9': real_estate '10': people_and_society '11': internet_and_telecom '12': travel_and_transportation '13': finance '14': sensitive_subjects '15': beauty_and_fitness '16': arts_and_entertainment '17': sport '18': autos_and_vehicles splits: - name: train num_bytes: 349392 num_examples: 998 download_size: 188787 dataset_size: 349392 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for my-distiset-dacfadf3 This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/khoantap/my-distiset-dacfadf3/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/khoantap/my-distiset-dacfadf3/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 8, "text": "Regular exercise and a balanced diet are crucial in preventing various chronic illnesses. Understanding the nutritional value of foods can help individuals make informed choices that contribute to overall wellness. Additionally, mental health awareness plays a significant role in maintaining a healthy lifestyle." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("khoantap/my-distiset-dacfadf3", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("khoantap/my-distiset-dacfadf3") ``` </details>

zd21/ReST-MCTS_Llama3-8b-Instruct_ReST-MCTS_Policy_1st

zd21

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

zd21/ReST-MCTS_Llama3-8b-Instruct_Self-Rewarding-DPO_1st

zd21

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

zd21/ReST-MCTS_Mistral-MetaMATH-7b-Instruct_ReST-EM-CoT_1st

zd21

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

zd21/ReST-MCTS_Mistral-MetaMATH-7b-Instruct_Self-Rewarding-DPO_1st

zd21

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

zd21/ReST-MCTS_SciGLM-6B_ReST-EM-CoT_1st

zd21

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

zd21/ReST-MCTS_SciGLM-6B_ReST-MCTS_Policy_1st

zd21

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

zd21/ReST-MCTS_SciGLM-6B_Self-Rewarding-DPO_1st

zd21

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

cmeraki/elemento

cmeraki

--- license: apache-2.0 ---

zd21/ReST-MCTS_Llama3-8b-Instruct_ReST-EM-CoT_2nd

zd21

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

teksingh/Conv_nepali

teksingh

--- license: mit ---

zd21/ReST-MCTS_Llama3-8b-Instruct_ReST-MCTS_Policy_2nd

zd21

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

zd21/ReST-MCTS_Llama3-8b-Instruct_Self-Rewarding-DPO_2nd

zd21

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

zd21/ReST-MCTS_Mistral-MetaMATH-7b-Instruct_ReST-EM-CoT_2nd

zd21

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

akhil1115/finetuning_paligemma

akhil1115

--- license: gemma ---

zd21/ReST-MCTS_Mistral-MetaMATH-7b-Instruct_ReST-MCTS_2nd

zd21

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

zd21/ReST-MCTS_Mistral-MetaMATH-7b-Instruct_Self-Rewarding-DPO_2nd

zd21

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

zd21/ReST-MCTS_SciGLM-6B_ReST-EM-CoT_2nd

zd21

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

zd21/ReST-MCTS_SciGLM-6B_ReST-MCTS_Policy_2nd

zd21

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

zd21/ReST-MCTS_SciGLM-6B_Self-Rewarding-DPO_2nd

zd21

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

rabhishek100/eval_act_so100_train_dataset6

rabhishek100

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100 - tutorial - eval configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "so100", "total_episodes": 5, "total_frames": 8166, "total_tasks": 1, "total_videos": 10, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:5" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

rabhishek100/eval_act_so100_train_dataset7

rabhishek100

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100 - tutorial - eval configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "so100", "total_episodes": 3, "total_frames": 5856, "total_tasks": 1, "total_videos": 6, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:3" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

ellerygu/CALVIN

ellerygu

--- license: mit ---

chiyuanhsiao/llama-questions-text-score

chiyuanhsiao

--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: audio dtype: audio - name: question_unit sequence: int64 - name: response_interleaf dtype: string - name: response_text dtype: string - name: response_speech dtype: audio - name: speech_score dtype: int64 - name: text_score dtype: int64 splits: - name: test num_bytes: 37694773.0 num_examples: 300 download_size: 24560403 dataset_size: 37694773.0 configs: - config_name: default data_files: - split: test path: data/test-* ---

chiyuanhsiao/spoken-web-questions-text_original-score

chiyuanhsiao

--- dataset_info: features: - name: url dtype: string - name: question dtype: string - name: answers sequence: string - name: audio dtype: audio: sampling_rate: 16000 - name: question_unit sequence: int64 - name: response_interleaf dtype: string - name: response_text dtype: string - name: response_speech dtype: audio - name: speech_score dtype: int64 - name: text_score dtype: int64 splits: - name: test num_bytes: 196780377.0 num_examples: 2032 download_size: 148305700 dataset_size: 196780377.0 configs: - config_name: default data_files: - split: test path: data/test-* ---

chiyuanhsiao/llama-questions-text_original-score

chiyuanhsiao

--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: audio dtype: audio - name: question_unit sequence: int64 - name: response_interleaf dtype: string - name: response_text dtype: string - name: response_speech dtype: audio - name: speech_score dtype: int64 - name: text_score dtype: int64 splits: - name: test num_bytes: 35370995.0 num_examples: 300 download_size: 24359919 dataset_size: 35370995.0 configs: - config_name: default data_files: - split: test path: data/test-* ---

chiyuanhsiao/trivia_qa-audio-text_original-score

chiyuanhsiao

--- dataset_info: features: - name: question dtype: string - name: question_id dtype: string - name: question_source dtype: string - name: entity_pages sequence: - name: doc_source dtype: string - name: filename dtype: string - name: title dtype: string - name: wiki_context dtype: string - name: search_results sequence: - name: description dtype: string - name: filename dtype: string - name: rank dtype: int32 - name: title dtype: string - name: url dtype: string - name: search_context dtype: string - name: answer struct: - name: aliases sequence: string - name: normalized_aliases sequence: string - name: matched_wiki_entity_name dtype: string - name: normalized_matched_wiki_entity_name dtype: string - name: normalized_value dtype: string - name: type dtype: string - name: value dtype: string - name: question_audio dtype: audio: sampling_rate: 16000 - name: question_unit sequence: int64 - name: response_interleaf dtype: string - name: response_text dtype: string - name: response_speech dtype: audio - name: speech_score dtype: int64 - name: text_score dtype: int64 splits: - name: validation num_bytes: 215061302.0 num_examples: 1000 download_size: 154423750 dataset_size: 215061302.0 configs: - config_name: default data_files: - split: validation path: data/validation-* ---

yassAQ/YOLO-World-data

yassAQ

--- license: mit ---