BEE-spoke-data/tFINE-900m-e16-d32-flan
Text Generation • 0.9B • Updated • 23
inputs stringlengths 69 407k | targets stringlengths 1 8.28k | user_parent stringclasses 215
values | assistant_parent int64 0 0 | sha256 stringlengths 64 64 |
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Teacher: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, hi... | What is the last name of the person whose rehabilitation was marked by his Tenth Symphony? | fc-sni-quoref | 0 | 7cb3bc2e16d8dfc98d3bab40912747d3a01db03a740c2f4fd986080c66e994e1 |
TASK DEFINITION: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
PROBLEM:... | Sounds yummy, I just got back from the thrift shop. | fc-sni-personachat | 0 | 32d06c880e36d989c54b3faba933a9bbbd89aee140078d51787d838250aa8676 |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct a... | (C) | fc-sni-casehold | 0 | aa5bdda8771898ac2b3d4015d694c1750557e0c0ba6a6514f65eb1e5252a02fa |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
[EX Q]: Fact1: ... | A naive, rambunctious, overly enthusiastic and socially inept cowboy, Beauregard Decker, and his friend and fatherfigure Virgil Blessing take the bus from Timber Hill, Montana to Phoenix, Arizona, to participate in a rodeo. Virgil has encouraged the 21yearold virgin, Beau, to take an interest in girls. Initially reluct... | fc-sni-facts2story | 0 | e5aea8e03b4b3dd5025bc5ce6194be6b0686ed155b3eac29197e0801fbbd3501 |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | a special holiday trip this winter | fc-sni-mcscript | 0 | cbb483f25c3659919cd9c78fba66079fa81bd8418919f9da1f29a650e10bda04 |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Sentence 1: that's right yeah but my preference is ... | travel | fc-sni-multinli | 0 | 211eab88538ea9af56c8d865492bbed7e5834b85b52a192d0f8d8a8ddfada6ce |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Q: Neural program embeddings have shown much promise recently for a variety of program analysis tasks, including prog... | An adversarial training-based method for disentangling two complementary sets of variations in a dataset where only one of them is labelled, tested on style vs. content in anime illustrations.
**** | fc-sni-scitldr | 0 | 5d20abb3c6fdd1d4c5b34e3581ff0de14475db4300394eb83e3f6b4dbc42107d |
Part 1. Definition
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Part 2. Example
Text: title speaks for itself really...
i just wasted $1... | TIFU by taking a walk on New Year's Day | fc-sni-reddit_tifu_dataset | 0 | da17f379185a0d05af35e664205e628f26fe8a554c440dbe121fbe01f8a51319 |
Detailed Instructions: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Q: Sentence1: Bob bought a bag of potato chips from the store. Sentence2: It was a huge bag meant for a family. Sentence3: But Bob ripped open t... | Bob, The store | fc-sni-storycommonsense | 0 | 38510d5102b06194e7493263620c9805bedb5fb527afe8944d6202d0ee1398bd |
Teacher:In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Teacher:... | Marie St. Clair and her beau, aspiring artist Jean Millet, plan to leave their small French village for Paris, where they will marry. On the night before their scheduled departure, Marie leaves her house for a rendezvous with Jean. Maries stepfather locks her out of the house, telling her to find shelter elsewhere. Jea... | fc-sni-facts2story | 0 | a90c951882608063e315a42d46c4fcb054f0d8e418778e49c523e90ea6941633 |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should... | TIFU by running full speed into a kid half my size | fc-sni-reddit_tifu_dataset | 0 | adc78f727c2ce5b0d458f06dde1f473e0398bf83a3241799ff39ed4f5f38f24c |
Teacher:Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? Solve this instance: It's my third read of this book. First two I read about ten years ago, when my English hasn't been that matured, so after reading the book in... | Positive | fc-sni-amazon_polarity | 0 | 3ed5b01dbaa11f589dd4f0d38d0d523c158036a928a89292de7b005d6b51c92d |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
This Frankenstein series started off with 3 1/2 stars and deteriorated downward with every new volume. Not up to Mr. Koontz's standard of edge of your seat, nail biting suspense I've come to love. | Negative | fc-sni-amazon_polarity | 0 | 3fba01cca540769c6931d35a34fcd5b1b99e94508e30b3fd13de6bb1d0696d8a |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct a... | (B) | fc-sni-casehold | 0 | ba830a45fc61dfb016a2b277d2aae96619c6b7eb5ceba75e38d4b788724dcf3f |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
--------
Question: Having been pleasantly surprised by Sandra Bullock's performance in Miss Congeniality, I decided to give Murder By Numbers a shot. While d... | negative | fc-sni-imdb | 0 | 96ce31dfa8a39fd862a2c850d66de620f3c1049a64d03f9775e82dae0dd96187 |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
SECTION 1. SHORT TITLE.
This Act may be cited as the ''Accurate Education for Prenatal
Screenings Act''.
SEC. 2. CELL-FREE DNA PRENATAL SCREENING EDUCATION PROGRAMS.
Part B of title II... | Amends the Internal Revenue Code to allow a business tax credit for the production and use of biodiesel fuel. Specifies the required mixture rate for biodiesel fuel eligible for the credit. Requires, for purposes of the credit: (1) certification from the producer identifying the product; (2) sale of the fuel for use in... | fc-sni-billsum | 0 | 5488d6ec0f31cc1485b2e6227cd962c6b1cbcd3a81a50e049f2e57fa3d42db0b |
Detailed Instructions: In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narr... | In 1991, the brainwashed supersoldier James Bucky Barnes is dispatched from a Hydra base in Siberia to intercept an automobile carrying a case of supersoldier serum. In the present day, approximately one year after Ultrons defeat in the nation of Sokovia at the hands of the Avengers,N 1 Steve Rogers, Natasha Romanoff, ... | fc-sni-facts2story | 0 | 77a16c83a553b2b03388db9ac53a3c3589da2a3ca90425920083afbd6386976e |
Detailed Instructions: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Q: Simulation is a useful tool in situations where training data for machine learning models is... | We propose an algorithm that automatically adjusts parameters of a simulation engine to generate training data for a neural network such that validation accuracy is maximized. | fc-sni-scitldr | 0 | 6d1f7b8cbcf0dc8f6dce7cb3779207a4baf921edb4427b9e584ca2537019d296 |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each cit... | (C) | fc-sni-casehold | 0 | 3ebbde6cad2864d34c68a9ab40f5d3d2e55729a1c14429fa947aa7b48739cc4e |
Given the task definition and input, reply with output. Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two par... | Oh, I wish I could go dancing, I'm currently writing a ebook. | fc-sni-personachat | 0 | 1a5374ff50a3ee706ca2c572ef48542a669e1b451756cc24a2bfcb2ec58c3742 |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Ex Input:
Fact1... | During the Cuban Revolution, deported American gambler and racketeer Renzo Capetto Anthony Carbone comes up with a getrichquick scheme and uses his yacht to help a group of loyalists headed by General Tostada Edmundo Rivera Alvarez escape with Cubas national treasury, which they plan to use to stage a counterrevolution... | fc-sni-facts2story | 0 | 66da992d1378fa1cd640f969c91a4912e93fed4605202d8c94d7c7f81f1af5e2 |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
[Q]: Sentence1: Last weekend I wanted to buy some shoes. Sentence... | A | fc-sni-roc_stories | 0 | a351ef8d2c6eed0cbd03cc9d35fa2fc10b1616eed2d7315cb0ffcf6bd538f115 |
You will be given a definition of a task first, then some input of the task.
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
The Book of ... | POS | fc-sni-cls | 0 | ca7752a997c383a16c7fe679c3812068b20c677bf1b3107b9abcfe11520eec7d |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your an... | Question: Who does Sita and Radha have constantly attend to?, Answer: Biji | fc-sni-duorc | 0 | 1a3b7cd81fdc0055cc2141e085f7d1250f466ee8874a11c2690eca322175139b |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct a... | (D) | fc-sni-casehold | 0 | 797134c35d6b01acffaa126ba38ee836b0453cee0bed0faeeb8ab602d8a171f6 |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Q: Objectives: We compared the expelled air dispersion distances during coughing from a human patient simulator (HPS) lyi... | Modulation of host cell responses and evasion strategies for porcine reproductive and respiratory syndrome virus
**** | fc-sni-coda_19 | 0 | 54d381cd78abec554aa0b7a4f081b1a97330ec6d6297f6dad1375b3d2913ffaf |
Definition: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Input: The development of new low cost inactivated polio virus based vaccines (IPV) is a high priority, and wi... | Inducing Dose Sparing with Inactivated Polio Virus Formulated in Adjuvant CAF01 | fc-sni-coda_19 | 0 | 6d5d6dfa8016757df39c2bd0284a56f11770a37d1b5b4cbe3cc07682c41e16c6 |
TASK DEFINITION: Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
PROBLEM: Temperature and ph level are important in the activity of an enzyme.
SOLUTION: Temperature and what other environmental factor are important in the activity of an enzyme?
PROBLEM... | Name the one metal that melts below room temperature? | fc-sni-scitail | 0 | 52bdbcca68bac741e457ec2381b74dfdf8ac248969fd639c1b87c5fbc00b8b2b |
instruction:
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
question:
Problem: two trains are moving in opposite direction... | e | fc-sni-math_qa | 0 | 941a38d72758cf52dd4e7cd8b1d018ac0dc55edc708dfbd9896d4a5504cf4185 |
Detailed Instructions: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Q: Question: What role did Michael James ... | 2 | fc-sni-iirc | 0 | 08becc26e4bdd870106d285202fb0d22286a0b5cf26c2770a67fef106c849b96 |
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Q: Zero is the net force acting on an object when two equal forces are applied from opposite directions.
A: What is the net force acting on an object when two equal forces are applied from opposite direct... | Differences between organisms reflect differences between their nucleotide sequences rather than between their what?
**** | fc-sni-scitail | 0 | 1f4f054428b6caa0d2af344ffb38318ef088aabc1001a8c12bb8a1d6c20d5c4b |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Background. Distinguishing between bacterial... | Superiority of Transcriptional Profiling Over Procalcitonin for Distinguishing Bacterial From Viral Lower Respiratory Tract Infections in Hospitalized Adults | fc-sni-coda_19 | 0 | 33d28896d9f8e2e0d3abf2e0c29ab011e6f598e3d6ca68f3f718a33bc442b001 |
Q: In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: 'book': Make a new reservation, 'cancel': Cancel an existing reservation... | book | fc-sni-air_dialogue | 0 | bebfc5f91c27ba6ce734f9c965a4d5b4309bddef5735ad986bd6fb7872d59f47 |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indica... | Option 2 | fc-sni-timetravel | 0 | 5a6d0b3b8975aa6caac30b3ff2294b6c1925747d927597a5cd0c698e5d562487 |
TASK DEFINITION: Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
PROBLEM: Context: Long long ago, there was an old merchant who had three sons. "To which one shall I leave my fortune?" ... | ovary | fc-sni-mrqa | 0 | b85e382084c17d88bb34a8825e1eebb82e8f9f83c546baea5bab4768c5849636 |
Teacher:Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid ... | Does resection with cryotherapy of colorectal hepatic metastases have the same survival as hepatic resection alone? | fc-sni-pubmed_qa | 0 | 6cff5c80de5af1eb5cddee837c22fc1719b63fdb5d88b0e02d8a517fbc3957b0 |
Q: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Personality: I hate to... | When you have got a couple of kids, you eat what you can! | fc-sni-personachat | 0 | 44ac58c5d19e0838ae956c4223e0dd0202d0d51463ed81436d3506ff7393c523 |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Q: Most of the above-discussed systems either shows high performance on (a) Twitter dataset or (b) Facebook dataset (given in the TRAC-... | Systems do not perform well both in Facebook and Twitter texts | fc-sni-qasper | 0 | 28f852cec044969eac2bf5bd16d07d4ed13c3494545996d708f84b65427ec3ad |
Teacher:In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Teacher: Now, understand the problem? Solve this instance: Knowledge distillation is a potential solution for ... | We take face recognition as a breaking point and propose model distillation with knowledge transfer from face classification to alignment and verification | fc-sni-scitldr | 0 | c9c0ea36a0693420e3812561cbba84946cba311beab3eca6b9674b5abc53849f |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Example input: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the creation of t... | Cork city | fc-sni-adversarial_qa | 0 | 663047b56dd337c96a55b7f01db5a24aca39ad9111043894c699699059f39d28 |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: When Ugolin firsts approaches Manon how does she feel?, Answer: Disgusted | fc-sni-duorc | 0 | fdc8518a7dec7f4d1dfd5fcd77e21c6362d3a6e7a903200c0e58f56cc11268c2 |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | Whose ex-boyfriend shows up to harass Michael? | fc-sni-quoref | 0 | 47583f859332d5947da2e9e9ddb85acebd7835787d21318623a26b33b8a241ca |
Q: Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
The pay increase Walmartas third minimum wage increase since 2015 and bonus will benefit more than 1 millio... | Lower taxes and tight labor market prompt Walmart to hike U.S. wages | fc-sni-persent | 0 | a2bedda676cd672a3f03680368ee132723089c6b8aca5ec0ca74be695af63580 |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Q: Personality: My favori... | Yes I just went to Japan. | fc-sni-personachat | 0 | 7dcfdd81d30cbe8df942ba380e21aa49359581e5da25490de0d46099e8218b29 |
Detailed Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Problem:The move is in response to "anticipated government cuts", the authority said. It said the job cuts were part of a 522,0... | Jobs cuts plan at Lakes authority in Cumbria | fc-sni-xlsum | 0 | 099379a29c80caf63b9592165e9d943bb3150e2ac5422467d2c364b223c19042 |
Instructions: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Input: The Spring Mountain location..Ordered the Garlic Parmesan wings, seasoned fries and the Bo... | NEGATIVE | fc-sni-yelp_polarity | 0 | d14bfd33a655b838bdc09f1e48fb734cd200ade94dd9d9c21b1933f1f1ab57aa |
In this task, you are given a question. You have to answer the question based on your information.
Ex Input:
What label produced the early 1990s music of the artist who was featured as a guest performer along with Spice 1 on the album We Come Strapped?
Ex Output:
Def Jam
Ex Input:
20th Century Battlefields was hoste... | Beyond the Veil | fc-sni-hotpotqa | 0 | e9ca3a49f31b04e0283b52a0cf208af320fefaf07555e91d30ca23be7ddd6dbe |
Q: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
The incremental distributional v... | Science | fc-sni-qanta | 0 | a180c611d5a2b610c5d247e482f12061fc55462afe7301e96eda58ddd0494bf6 |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Input: Consider Input: Question: Who is the head of the Nationa... | Output: 2 | fc-sni-iirc | 0 | 5ce04c3f00b71c39d8fccf159d8a36c0a5f6d9636472370a6b63d048ff02c817 |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul... | Question: name the three vampires in army?, Answer: Markus, Viktor, and Amelia | fc-sni-duorc | 0 | 79e83cc6289ee7dc13b3510ffd85bd217d8ae6e57933dd545cfee3ddcc8ae70c |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Input: Consider Input: Their performance at last summer's World Cup was widely criticised as the team crashed out 4-1 to Germany at the last 16 stage... | Output: Lana Del Rey wins song of the decade at the Q Awards | fc-sni-xlsum | 0 | af2fed9d3c45879b5dee27f2f56d890fe235f95c0b7d748057ac55ff50cea637 |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | Output: Saucepan full of milk. | fc-sni-mcscript | 0 | 48d90f8c1b08ed666cdeb8f39e1f0da7d0d226c61cee68f948e639bd408a0dd2 |
Definition: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Input: Context: A trade union (British EnglishAustralian EnglishNew Zealand EnglishSou... | swedish social democratic party | fc-sni-wiki_hop | 0 | 6e756ecd1b69fe72616634e59b9de9348057e9ddeba0ed5d4a7d045a88065798 |
End of preview. Expand in Data Studio
YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
flan subsets: deduped
see config
allfor the aggregated & deduped dataset
- all configs/subsets have columns
inputsandtargets - deduped on
inputs - filtered for lang
enif contents more than 5 chars.- filter out any row with less than 1 char for either column
clean-textapplied to both columns
dedup command
deduped with:
python -m text_dedup.minhash \
--path $ds_name \
--name $dataset_config \
--split $data_split \
--cache_dir "./cache" \
--output $out_dir \
--column $text_column \
--ngram 3 --threshold 0.6 \
--hash_func xxh3 --hash_bits 32 --num_perm 192 \
--batch_size 50000
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