Datasets:

birgermoell
/

oellm-excellent-dpo-v0.1

pair_id string	messages list	chosen list	rejected list	language string	source_language_label string	domain string	source_id string	source_revision string	source_row_id string	preference_origin string	preference_margin int64	split_group string	propella_content_quality string	propella_content_safety string	propella_information_density string	source_license string	quality_tier string	propella_revision string	decontamination_rule string	prompt_tokens int64	chosen_tokens int64	rejected_tokens int64
0000627de5cde60c961b3bedd352c7f33c9047c7dc9c16b92f260976b4ad9baf	[ { "content": "Write a function in Python that receives a list of integers as input and returns a tuple of those integers, while handling any potential exceptions. The function should also include an error checking mechanism to ensure every item in the list is an integer type. Lastly, write a unit test to valida...	[ { "content": "Here's a Python function that meets your requirements:\n\n### ✅ Function: `safe_int_list_to_tuple`\n\n```python\ndef safe_int_list_to_tuple(int_list):\n \"\"\"\n Converts a list of integers to a tuple, with error checking.\n \n Args:\n int_list (list): A list of integers.\n\n ...	[ { "content": "Certainly! Below is a Python function that takes a list of integers as input, checks each item to ensure it is an integer, and returns a tuple of those integers. It also handles potential exceptions gracefully. Additionally, a unit test is provided to validate the effectiveness of the function.\n\...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	196727	dolci:llm_judged	null	8b2db8d7728099331e92e4e01d0ef00c1325905a20866418547e3d33dae038d3	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	62	592	572
000070ae5f2f5aaf438afda54ccc5faa4f0389d64e0dc65f412075a89c49d2d7	[ { "content": "Maria, an elderly woman who was once a celebrated opera singer, is now offering insights into the music industry. During her career, she performed in various operas, each requiring a distinctive set of vocal techniques and stamina. To maintain her voice, Maria followed a rigorous vocal training sc...	[ { "content": "Let's solve the given math problem step-by-step.\n\n### Part 1: Semitones and Geometric Mean\n\n1. Calculate the total number of semitones in Maria's vocal range:\n\n Maria's vocal range extends from 110 Hz (low A) to 1318.5 Hz (high E). Each semitone represents a frequency ratio of \\(2^{1/...	[ { "content": "Let's solve the two parts of Maria's vocal training problem step by step.\n\n---\n\n### Part 1: Total Number of Semitones in Her Vocal Range\n\nMaria's vocal range extends from a low A (110 Hz) to a high E (1318.5 Hz).\n\nIn music, **a semitone is the interval between two adjacent note...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	35883	dolci:llm_judged	null	fb5e3ccec2117f903aa353b5efc5c2b7ed71ca9b6652ddf0ff7cfb1b41a5fd9b	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	257	1,056	1,261
0000d0bd0a3a68e0d83ea9dc9242ef30ff013d324acb131188adb63b62d9979b	[ { "content": "The director of a local museum dedicated to preserving African American history is planning a new exhibit that features a timeline of significant historical events. The timeline will be represented as a series of interconnected nodes, each node representing an event, and the connections between th...	[ { "content": "Let's solve each sub-problem step by step.\n\n---\n\n### Sub-problem 1: Circular Timeline with 12 Events\n\nWe are asked to arrange 12 distinct events in a circular timeline, such that each event is connected to every other event either directly or indirectly through a sequence of ...	[ { "content": "We are given two sub-problems related to arranging events on a timeline:\n\n---\n\n### Sub-problem 1: Circular Timeline with 12 Events\n\nWe are to arrange 12 distinct events in a circular timeline such that each event is connected to every other event either directly or indirectly.\n\...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	9195	dolci:delta_learning	null	3bc5f136f703abea0dd4890208c68d5c21fbce27da92245da92b41ce7b14877c	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	229	1,523	648
0000db7f1423b724cea46f420dabaf2607e2eda5fcb7c61b8d131e4975a110a3	[ { "content": "A senior student at Notre Dame, Alex, holds a leadership role in the university's student government. Alex is organizing a protest against Mike Pence's upcoming visit to the university. Alex wants to ensure that the protest is peaceful and well-coordinated, so they decide to model the crowd dynami...	[ { "content": "We are given a logistic differential equation that models the growth of the protest crowd:\n\n$$\n\\frac{dN}{dt} = rN\\left(1 - \\frac{N}{M}\\right)\n$$\n\nThis is a logistic growth model, where:\n\n- $ N(t) $ is the number of protesters at time $ t $,\n- $ r $ is the growth rate,\n- $ M $...	[ { "content": "We are given a logistic differential equation to model the number of protesters over time:\n\n$$\n\\frac{dN}{dt} = rN\\left(1 - \\frac{N}{M}\\right)\n$$\n\nwith initial condition:\n\n$$\nN(0) = N_0\n$$\n\n---\n\n### Step 1: Solve the Logistic Differential Equation\n\nThe general solution t...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	222065	dolci:llm_judged	null	24cc764469ef6e281171b092f43d45246adda40c25bf0f3d68240a568c750bcf	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	320	1,575	925
0001487eeda89b6c2e4ddfd310defc337219d75f7a903547569efda5aec508f1	[ { "content": "Math problem: John is a loyal fan of the Mountain Goats and has been collecting their albums since the early days of the band. He owns 10 albums from the 1990s, 15 albums from the 2000s, and 8 albums from the 2010s. John recently found out that the band released 5 more albums in the 2020s, and he ...	[ { "content": "To find out how much John will spend on the new albums, we first need to determine the total number of new albums he wants to buy. According to the information provided, the band released 5 more albums in the 2020s, and John decided to purchase all of them.\n\nSince each album costs $15, we can ca...	[ { "content": "John has:\n\n- 10 albums from the 1990s\n- 15 albums from the 2000s\n- 8 albums from the 2010s\n\nHe releases 5 more albums in the 2020s and decides to purchase all of them.\n\nEach album costs $15.\n\nSo, the total cost is:\n\n$$\n(10 + 15 + 8) \\times 15 = 33 \\times 15 =...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	152826	dolci:llm_judged	null	3187d904cecb7df70133de5f722a91123d20f4d48f59f60df82356c09d77f446	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	121	140	152
00020065b0b6eb8795f0ed6445309e3f235e199aa62c2787ef72dbb625c86ccf	[ { "content": "Given a list of strings, sort the list by the following criteria:\n1. Sort the strings by their length in descending order.\n2. For strings of the same length, sort them in case-insensitive alphabetical order—treating uppercase and lowercase letters as equal for comparison, but preserving the orig...	[ { "content": "Here's how you can solve this problem in Python:\n\n### ✅ Steps to Solve:\n1. Read the number of strings `n`.\n2. Read the next `n` lines and store them in a list.\n3. Sort the list using a custom key:\n - First by the negative length of the string (to sort in descending order).\n - Th...	[ { "content": "Sure! Here's the sorted list according to the given criteria:\n\nInput:\n```\n5\napple\nBanana\ncherry\nApricot\npear\n```\n\nOutput:\n```\nApricot\nBanana\ncherry\napple\npear\n```", "role": "assistant" } ]	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	1304	dolci:delta_learning	null	26a4162d7659b9243b6c662a49defee2ab143b01d787119bf54ad6a46d9fb51a	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	193	354	58
00024f425756dc2af4440fc4b15614d8a00e63716eb672273b23d8261c1ad634	[ { "content": "Math problem: Mr. Banner owns a flag and banner store. He has been asked to provide decorations for the annual parade. Mr. Banner decides to donate 25 banners and sell 50 flags with a 20% discount. If each banner originally costs $15 and each flag originally costs $10, how much money will Mr. Bann...	[ { "content": "To solve the problem, we need to determine two things: the amount of money Mr. Banner will receive from selling the flags after applying the discount, and the total value of the banners he donated.\n\nStep 1: Calculate the selling price of each flag after a 20% discount.\n\n1. The original pri...	[ { "content": "To find out how much money Mr. Banner will receive from selling the flags after the discount, we first need to calculate the discounted price of each flag. Then, we'll multiply that by the number of flags sold.\n\nThe original price of each flag is $10. With a 20% discount, the discount amount per...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	259054	dolci:llm_judged	null	1842ae367ef2c0b572fc229511d5fda8e20ee52a2c3a660d556d32deb3f79d0b	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	94	371	263
0003817a332132285962253b357a3c70775580f2dbf1f4527af9e60a25a8dbf4	[ { "content": "In several papers I see something equivalent to the following expression for the entropy of radiation given by an astronomical object such as the Sun (assuming the object can be approximated as a black body):\n$$\r\ns = \\frac{4}{3}\\frac{u}{T},\r\n$$\nwhere $u$ is the total flux of radiation ener...	[ { "content": "Your question is both deep and insightful, and it touches on a subtle and often-overlooked distinction in thermodynamics: the difference between radiation in a closed system (like a photon gas in a sealed cylinder) and radiation emitted into free space (like the Sun's radiation). This dist...	[ { "content": "The confusion here arises from trying to apply the thermodynamic concepts derived from the behavior of photon gases in a confined system (like a sealed cylinder) to the emission of radiation by astronomical bodies such as the Sun into the vacuum of space. Let's break down the key points and clarif...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	254526	dolci:llm_judged	null	7c30c10ee02c1ff1f8f19d4290a5715d61aff5a21e63705c5f33bcc6798a8671	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	1,150	1,699	1,255
0003d5d18f618f17ab4af48ea92efd1fc69446ad7b635519ae9dcc89b8ff1d64	[ { "content": "As a regulatory compliance officer, you are evaluating the financial and legal integration of two merging corporations, Corporation A and Corporation B. \n\n1. Corporation A has an annual revenue \$ R_A \$ that can be modeled by the function \$ R_A(t) = 2t^2 + 3t + 500 \$ million dollars, wher...	[ { "content": "1. Year \$t\$ when the combined revenue first exceeds 1 500 million $\n\nThe two revenue models (in million $) are \n\n\\[\n\\begin{aligned}\nR_A(t) &= 2t^{2}+3t+500,\\\\[2mm]\nR_B(t) &= -t^{3}+4t^{2}+2t+300 .\n\\end{aligned}\n\\]\n\nThe combined (total) revenue is the sum\n\n\\[\n\\begin{...	[ { "content": "To solve this problem, we need to address both parts: finding the year \$ t \$ when the combined revenue first exceeds 1500 million dollars, and verifying the operational cost at that time.\n\n### Part 1: Determine the Year \$ t \$\n\nThe combined annual revenue of the merged entity is given b...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	91683	dolci:llm_judged	null	d8dc1b350b4b67d703b2936e8344e9a7743629de4db190afb87f375c646ad818	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	298	1,426	1,168
0004e202e7aaf551889fc586a9e4883ecfcd0fc02f812d4fe068a00c37247608	[ { "content": "Write a program that reads an integer n from standard input and computes its factorial. If n is negative, print the message \"Error: Number must be non-negative\". Otherwise, print the factorial of n as an integer.\n\nInput:\nA single integer n, given on one line.\n\nOutput:\nIf n is negative, out...	[ { "content": "Here's a Python program that reads an integer `n` from standard input and computes its factorial. If `n` is negative, it prints an error message. Otherwise, it prints the factorial of `n`.\n\n```python\n# Read input from standard input\nn = int(input())\n\n# Check if n is negative\nif n < 0:\n ...	[ { "content": "Below is a simple Python program that reads an integer `n` from standard input and computes its factorial. If `n` is negative, it prints the message \"Error: Number must be non-negative\". Otherwise, it prints the factorial of `n` as an integer.\n\n```python\ndef factorial(n):\n if n < 0:\n ...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	136940	dolci:llm_judged	null	49c0a5c2b0c0d2b7f88db88f1b47bdf5acdac9144f778467296dc7a01cd27c9d	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	129	217	252
0006a05236bb762278645ae953f1ebae5a9a9935702157d5b80e953e598b3cb7	[ { "content": "The specific gravity of a given \$\\text{H}_2\\text{SO}_4\$ solution is 1.76. A quantity of 3.5 ml of the acid is diluted to 1.0 L and 25 ml of this diluted acid required 25.6 ml of N/10 (\$f = 0.95\$) NaOH solution for complete neutralization. The percentage strength (by mass) of the original...	[ { "content": "Step 1 – Equivalents of NaOH used\n\nThe NaOH solution is quoted as N/10 (i.e. 0.10 N) but its normality factor is \$f = 0.95\$.\n\n\\[\nN_{\\text{NaOH}} = 0.10 \\times 0.95 = 0.095\\ \\text{N}\n\\]\n\nVolume used = 25.6 mL = 0.0256 L \n\n\\[\n\\text{Equivalents of NaOH} = N_{\\text{NaOH}} ...	[ { "content": "Here's how to solve this problem step-by-step:\n\n1. Understanding Specific Gravity\n\nSpecific gravity is the ratio of the density of a substance to the density of water. Since the specific gravity of the H₂SO₄ solution is 1.76, this means the solution is 1.76 times denser than water.\n\n**2...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	172770	dolci:llm_judged	null	26d49db32252603486466b5864fa7b997503b4ac9ff7051cdfb165efe8830dbd	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	134	984	2,847
0006e82a7d3eef59889e9ee5999734ece23da6782917df91d2d1068607096b53	[ { "content": "Math problem: The amusement park owner is reviewing the safety regulations for a new roller coaster. According to the regulations, there must be at least 3 safety inspectors for every 100 meters of track. The roller coaster's track is 450 meters long. The owner also wants to hire an additional 2 i...	[ { "content": "To solve the problem, let's break it down step by step:\n\n---\n\n### Step 1: Determine the required number of inspectors based on the regulation\n\nThe regulation requires at least 3 safety inspectors for every 100 meters of track.\n\nThe roller coaster is 450 meters long.\n\n$$\n\\fr...	[ { "content": "We are told:\n\n- The track is 450 meters.\n- According to the regulations, there must be at least 3 safety inspectors per 100 meters.\n- The owner wants to hire an additional 2 inspectors for extra safety margin.\n\n---\n\n### Step 1: Determine how many \"safety inspectors per 100 met...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	38130	dolci:delta_learning	null	46e305446e4532c96905c51b8e9898e0f01fe69674875bc2e10b8331c40628ea	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	99	257	330
00072e57da4ff667333b9640dd52ea43b273b198147c29809b0ad57df2c90447	[ { "content": "You will be shown a paragraph from a biomedical research paper, followed by a question about the paper. Please extract text from the paragraph to answer the question. Do not include any text in your repsonse other than the answer.\n\nParagraph: Aetiology of Acute Respiratory Tract Infections in Ho...	[ { "content": "Respiratory viruses can cause common colds, pharyngitis, croup, bronchiolitis, viral pneumonia, and otitis media.", "role": "assistant" } ]	[ { "content": "Respiratory viruses cause infections such as colds, pharyngitis, croup, bronchiolitis, viral pneumonia, and otitis media.", "role": "assistant" } ]	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	18137	dolci:delta_learning	null	228d108cff0dfb8af28c1b3fd377ac2db8da4f81d16bbf9a51f1ee62de34c89d	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	3,240	28	29
000756a3d2b5190783b0f88d3f02dabdf74dbe588acda2a410c3483103dff3f4	[ { "content": "As a gamer who deeply appreciates the immersive environments created by a 3D modeler, you are tasked with designing a virtual world featuring an expansive landscape. The total area of the landscape is represented by the polynomial equation \$ A(x) = x^3 - 6x^2 + 11x - 6 \$, where \$ x \$ repre...	[ { "content": "Let's solve the problem step by step.\n\n---\n\n### Given Polynomial:\n\n$$\nA(x) = x^3 - 6x^2 + 11x - 6\n$$\n\n---\n\n## 1. Determine the possible values of $ x $ that would result in a zero-area landscape by solving the polynomial equation $ A(x) = 0 $.\n\nWe are solving:\n\n$$\nx^3 - 6x...	[ { "content": "We are given the polynomial equation:\n\n$$\nA(x) = x^3 - 6x^2 + 11x - 6\n$$\n\n---\n\n### 1. Determine the possible values of $ x $ that would result in a zero-area landscape\n\nWe want to find the values of $ x $ such that:\n\n$$\nA(x) = 0 \\quad \\Rightarrow \\quad x^3 - 6x^2 + 11x - 6 = 0\...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	217473	dolci:delta_learning	null	32393fc8a1df14639dca9374faecbf155bdb84e51bb0f3e74db2b2f5b4e2d930	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	177	1,329	723
000b6ca882d6ed0c94ede4fb8b10b9009d2a05d2812b1c7bc4225884145cab9f	[ { "content": "You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.\n\nContext: Pointing out that the contrastive methods need to carefully treat the nega...	[ { "content": "The provided text does not state that negative pairs prevent the problem of the collapsed solution in contrastive learning methods. Instead, it explains that the bootstrapping-based self-supervised learning framework avoids the collapsed solution without using negative instances, by updating two n...	[ { "content": "The negative pairs prevent the problem of collapsed solution by allowing the encoders to update in different ways, which effectively keeps both encoders from converging to the collapsed solution.", "role": "assistant" } ]	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	98931	dolci:delta_learning	null	52e72be2ec4be9b4b97a30b846a4e03fa15d5a20fd6d8cb146d25ff93974d732	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	501	86	34
000be4a655dbe939fe874dc25a573a9d10e5707a0f7b6aa60c6997f10e8b4ada	[ { "content": "Consider a Stern-Gerlach machine that measures the $z$-component of the spin of an electron. Suppose our electron's initial state is an equal superposition of\n$$\|\\text{spin up}, \\text{going right} \\rangle, \\quad \|\\text{spin down}, \\text{going right} \\rangle.$$\nAfter going through the mach...	[ { "content": "You've hit on a very deep and subtle point in quantum mechanics! Your intuition is absolutely correct: the interaction does change the state of the Stern-Gerlach machine, and this should lead to decoherence. The argument that the first Stern-Gerlach machine doesn't constitute a measurement re...	[ { "content": "Your reasoning is quite insightful, and the question you're posing is a good one. Let's break it down and clarify the key points:\n\n---\n\n### 1. What is a Stern-Gerlach machine?\n\nA Stern-Gerlach (SG) machine is a device that separates particles into two possible states based on their spin....	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	80195	dolci:llm_judged	null	163d60e69f9532003eb46944629a95a9b855cbf5ebbce99285e964916a669b69	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	638	1,180	923
000d008f97314f98b2918a2e999eeff6e804e0c6591338fddae71a8fd1c5d9eb	[ { "content": "How did NASA design the Mars rover's advanced technology for space exploration?", "role": "user" } ]	[ { "content": "NASA designed the Mars rover's advanced technology through a multi-decade process involving scientific research, engineering innovation, and iterative improvements from previous missions. The Mars rovers, such as Spirit and Opportunity (2004), Curiosity (2012), and Perseverance (2021),...	[ { "content": "NASA has designed the Mars rover's advanced technology to address the challenges of long-duration space travel, harsh environmental conditions, and the need for reliable, durable, and efficient systems. Here are some key aspects of how NASA designed the Mars rover's technology:\n\n### 1. **Robust ...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	42810	dolci:delta_learning	null	ef00a80f4334560b936b6bcb5f288694e06bf8d0725175f4af238bc0b71ee860	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	15	1,030	738
000e59f4c80e1207ef06a09d7647834c3c0302f167d22be0e6e5f8ec2de95f76	[ { "content": "Substituted benzenoid systems. As noted above, alkyl substituents cause a small bathochromic shift in the λ₂ and λ₃ bands, and a similar effect is observed in the case of halogen substituents. However, substituents which contain multiply bonded groups (C=O, NO₂, C≡N, C≡C, C≡C), and to a lesser deg...	[ { "content": "The absorption characteristics of substituted benzenoid systems in terms of the λ₁, λ₂, and λ₃ bands are influenced by the nature of the substituent groups attached to the aromatic ring. Here's a summary based on the passage you provided:\n\n---\n\n### *1. Alkyl and Halogen Substituents:...	[ { "content": "Substituted benzenoid systems exhibit distinct absorption characteristics in terms of the positions of the λ₁, λ₂, and λ₃ bands, which correspond to different electronic transitions within the aromatic π-electron system:\n\n1. *λ₁ (π→π transition):** This band is associated with a transition fro...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	93432	dolci:llm_judged	null	5c81868096ee34a28d6aad54ec5074856fb0f913d5b674d39b8ba012600adcc0	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	258	1,055	760
000e8d94302d48c3839600e5e6a9d0415f0973141bcc3908cdd36bf95872b36e	[ { "content": "Can you describe Microsoft's initiatives on enhancing digital accessibility for the differently-abled?", "role": "user" } ]	[ { "content": "Certainly! Microsoft has been a leader in advancing digital accessibility for people with disabilities through a combination of innovative technologies, inclusive design principles, and comprehensive programs. Here are some key initiatives and efforts by Microsoft to enhance digital accessibility:...	[ { "content": "Microsoft has implemented several initiatives to enhance digital accessibility for people with disabilities, focusing on inclusive design and support for users with diverse needs. Here are some key initiatives:\n\n1. Microsoft Teams Accessibility Features:\n - Screen Reader Support: Team...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	232361	dolci:llm_judged	null	216319335fa528069f1a3fae27c79362495107807fa3bfe0e67d3997f5419963	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	17	871	348
0010c7d457ba1ae521bcac425bd73cc713c75a55b1067f332d5bff9a47fa89a2	[ { "content": "You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different wo...	[ { "content": "### Literature Review: Multi-Sensor Fusion in Automated Driving: A Survey\n\n#### Chapter 3: The Method Based on Bayesian Filter\n\nThe integration of various sensor data through Bayesian filtering techniques has become a cornerstone in the field of automated driving, providing a robust approach t...	[ { "content": "The field of automated driving has seen a significant advancement in the integration of multi-sensor fusion technologies to enhance vehicle safety and autonomy. Multi-sensor fusion plays a crucial role in providing comprehensive situational awareness, enabling vehicles to make informed decisions a...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	77228	dolci:llm_judged	null	a9683a2e3d1e09cd3a85efef88e3d42a06e070d9d101940a0a8f74a8c9db9c66	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	848	1,528	869
0010e0e71c5c4db082a24f724688f1cc2e361239b443049d750fdd384a30f6b2	[ { "content": "Write a program that reads a string from standard input and determines whether it is a palindrome, considering only alphanumeric characters and ignoring case. Output 'True' (without quotes) if it is a palindrome, and 'False' otherwise.\n\nInput Format:\nA single line containing the string to check...	[ { "content": "Here's a Python program that reads a string from standard input, processes it to consider only alphanumeric characters and ignores case, and then checks if it's a palindrome:\n\n```python\nimport sys\n\ndef is_palindrome(s):\n # Filter only alphanumeric characters and convert to lowercase\n ...	[ { "content": "Here's the Python program that reads a string from standard input, checks if it is a palindrome by considering only alphanumeric characters and ignoring case, and prints `True` or `False` accordingly:\n\n```python\n# Read the input string\ns = input().strip()\n\n# Process the string to remove non-...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	208191	dolci:delta_learning	null	6d810741ef8f894b67472bbacce7333cc7520bb5ecf28a2cbab40361955f5406	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	126	327	192
0011b3e0b078fdd141c1f908388ca075c32f5e9591b4a297e36ade879cdf1c99	[ { "content": "Could the entire sky ever be a giant rainbow?", "role": "user" } ]	[ { "content": "Short answer: \nNo – under normal Earth conditions the whole sky can’t turn into one continuous rainbow. A rainbow is a cone‑shaped optical phenomenon that only occupies a thin, well‑defined band of the sky (about 42° from the point opposite the Sun). The geometry of how sunlight is refract...	[ { "content": "The question of whether the entire sky could ever be a giant rainbow is a fascinating one, and it touches on both physics and imagination. Let’s break it down:\n\n---\n\n### 1. What is a Rainbow?\n\nA rainbow is a natural optical phenomenon that occurs when light is refracted, reflected, and d...	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	165113	dolci:llm_judged	null	d2caf970c1aaa258e4fa4b8b8a1efd62903ca918780031f0f155013c4220faa4	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	10	1,816	877
0012b1f64cd5250fc9c8feb9aeb4b03ecca45f9ca202bc20a039d805fd915f20	[ { "content": "You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.\n\nContext: In our setup, given an input \\mathbf{x}, a model generates an output \\ma...	[ { "content": "They edited the prompt by concatenating the examples.", "role": "assistant" } ]	[ { "content": "They edited the prompt by including examples of the form $(\\mathbf{x}, \\mathbf{fb} \\rightarrow \\mathbf{u}, \\mathbf{y})$ in the prompt.", "role": "assistant" } ]	und	null	unknown	allenai/Dolci-Instruct-DPO	aed155cf32e809b590490b6c3577ee4b0d0a5019	84225	dolci:delta_learning	null	cec43ab32afee7db9ce0d31161284621fd789ce4eacece1c49e67675a12beb22	excellent	safe	dense	odc-by	propella_chosen_excellent	42eb43a1bf36942e12cab11eefe53cdb274c93e2	8-gram, >0.5 benchmark-query coverage, prompt+chosen+rejected	901	10	38

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OELLM Curated Pair-Decontaminated DPO v0.1

73,964 preference pairs from three public source families, in Parquet train, validation, and test splits. This is an independent research release in the user's namespace, not an official OpenEuroLLM dataset. It has traceable original preference labels, a strict Propella chosen-response gate for Dolci, and pair-level evaluation decontamination. Read the short methods paper, machine-readable manifest, and independent validation report before training.

What is in it?

Source	Released pairs	Selection and label
Dolci-Instruct-DPO	34,308	Original Dolci preference; Propella `excellent` chosen-response quality plus integrity, content, safety, and PII gates.
HelpSteer3	15,176	Human overall preference with absolute margin ≥2.
UltraFeedback Binarized Preferences Cleaned	24,480	Source cleaned model-judged preference.

The releases use pinned source revisions (recorded in manifest.json) and an 8,192-token pair budget under the pinned OELLM DPO tokenizer. The target quotas were 40,000 eligible Dolci, 25,000 HelpSteer3, and 25,000 UltraFeedback, followed by deduplication, length filtering, and pair-level decontamination. Quotas are not the final row counts. Final splits: 72,428 train / 762 validation / 774 test.

The key columns are messages (shared prompt conversation), chosen, rejected, pair_id, split_group, source_id, source_revision, source_row_id, source_license, quality_tier, preference_origin, language, source_language_label, domain, prompt_tokens, chosen_tokens, rejected_tokens, and Dolci-only propella_* fields. source_language_label preserves the raw HelpSteer3 value, which may name a programming language; language is a normalized two-letter code or und.

Propella is used carefully

The Propella annotations were joined to original Dolci row IDs, with source-size, coverage, and missing-ID guards. The Dolci gate requires chosen content_quality=excellent, content_integrity=complete, content_ratio∈{complete_content,mostly_content}, content_safety=safe, and pii_presence=no_pii. Propella did not independently compare chosen and rejected answers. It was not applied to HelpSteer3 or UltraFeedback, so those rows are not described as Propella-excellent.

Pair-level decontamination

The filtering code adapts OpenEuroLLM's post-training decontamination: matched 8-token grams must cover strictly more than half of a protected benchmark query. Prompt, chosen, and rejected text are each checked, and any match removes the entire preference pair. The protected inventory covers twelve pinned benchmark versions, including math, science, code, instruction following, and open-ended chat evaluations. The corpus itself is not included in this repository; benchmark dataset revisions and a digest of its extracted queries are in the manifest. The offline tokenizer is based on the upstream Elasticsearch punctuation analyzer, not the upstream spaCy tokenizer. Lexical decontamination is imperfect and makes no guarantee of semantic non-overlap. 435 pairs were removed by this rule, including 77 first matched in chosen or rejected text rather than the prompt. An independent rescan found zero residual matches against the same indexed queries. See the metadata-only audit.

Splits and intended use

The three splits are deterministic by hash of the normalized shared prompt. No identical normalized prompt group appears in more than one split. Validation and test are held-out source preference pairs, not benchmark tasks. The dataset is intended for transparent preference-training experiments, sensitivity analyses by source/quality tier, and comparison with less filtered mixtures. It is not a direct model-quality score, a fresh human-annotation campaign, or evidence that DPO preserves long-context performance.

Licenses, attribution, and caution

There is no single blanket license for the mixed rows. Dolci's source license is ODC-BY, HelpSteer3 is CC-BY-4.0, and UltraFeedback cleaned is MIT; see each linked upstream card and the per-row source_license. This card and methods text are documentation, not a replacement for the source terms. Preserve the source attribution and review compatibility for your own use case.

The three preference-label mechanisms are not equivalent. Dolci's quality gate applies to the chosen side only. UltraFeedback inherits synthetic-judge biases. Longer chosen answers may create verbosity bias. Dolci language is und without independent detection, and the other sources have not received Propella's PII screen. Benchmark decontamination covers named versions only. See PAPER.md for more limitations and the full selection accounting.

Reproduce and verify

The source code, pinned configs, tests, output hashes, and benchmark inventory are in repro/ and manifest.json. From a clone of the dataset repository:

python3 -m pip install -r repro/requirements.txt
python3 repro/scripts/stage_benchmarks.py --config repro/config/benchmarks.json --out runs/benchmarks
python3 repro/scripts/build_release.py --sources repro/config/sources.json --benchmarks runs/benchmarks --out runs/rebuilt
python3 repro/scripts/validate_release.py runs/rebuilt --benchmarks runs/benchmarks
python3 -m unittest discover -s repro/tests -v

The scripts require datasets, huggingface_hub, transformers, pyarrow, and requests. The source and tokenizer revisions, benchmark query SHA-256, split/removal counts, and Parquet hashes are in the manifest. The exact released Parquet files are the reference artifact.

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