Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
id large_stringlengths 26 57 | text large_stringlengths 0 150k ⌀ | gemini_flash_3_score int64 0 3 ⌀ |
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allenai/olmo2-1b-sft-if_24462_chosen | ```python
def check_num(num):
# TODO
a = num % 2
if a == 0:
print("Even")
else:
print("Odd")
```
Let me break down how this works:
* **`a = num % 2`:** This line performs the core check.
* **`%` (modulo operator):** This gives us the remainder when `num` is divided by 2.
* If `... | 3 |
allenai/olmo2-1b-sft-if_24462_rejected | def check_num(num):
# TODO
if num % 2 == 0:
print("Even")
else:
print("Odd") | 3 |
allenai/olmo2-1b-sft-if_55499_chosen | Creating an algorithm to determine if a list contains a subset that sums up to a target involves using a classic problem-solving approach from computer science known as the Subset Sum Problem. The problem can be efficiently solved using dynamic programming, which is a method for solving complex problems by breaking the... | 3 |
allenai/olmo2-1b-sft-if_55499_rejected | To determine if a list contains a subset that sums up to a target, we can use the following algorithm:
1. Create an empty list called 'found\_subsets\_list'. This list will store the subsets of the input list that sum up to the target.
2. Initialize a variable 'sum' to 0 and an empty list 'remaining\_subsets\_list'. T... | 1 |
allenai/olmo2-1b-wildchat-unused-on-policy_47767_chosen | Конечно, давайте попробуем подобрать фракции из игры под различные стороны конфликта на основе вашей тематики:
1. **Россия**: Маги и алхимики с заснеженных гор – здесь идеально подходит из-за северного и холодного климата России, а также из-за длительной и сложной истории, связанной с разными периодами.
2. **Европейц... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_47767_rejected | Окай. Существуют геометрические фракции, такие как лесные, могущественные: варварские, племенные, болотные, элементальные Стихий и т. п. Конкретных названий фракций выбирайте здесь или в другом месте по желанию, важнее - что бы характеристики и конфликт вращался. | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_22723_chosen | To address the questions, let's begin by examining the article "Being the Boss in Brussels, Boston, and Beijing" by Erin Meyer, which explores leadership and authority perceptions in different cultures. The article places various cultures into four quadrants based on their approaches to decision-making and attitudes to... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_22723_rejected | Certainly! Let's break down the comparisons and your hypothetical situation as per the provided article and your lived experiences.
### Leadership Culture of the United States and China
#### United States:
In the United States, there is generally a hierarchical leadership style where authority is respected and decisi... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_23319_chosen | To solve the given problem, we need to handle two complex tasks: finding the shortest path using Dijkstra's Algorithm and calculating the maximum flow using the Ford-Fulkerson method, both in a network represented as a weighted directed graph.
### Part 1: Shortest Path from Source \( S \) to Destination \( D \)
1. **... | 1 |
allenai/olmo2-1b-sft-used-p2-on-policy_23319_rejected | 1. **Shortest Path using Dijkstra's Algorithm:**
Dijkstra's Algorithm is a widely used algorithm for finding the shortest path between nodes in a graph. In this problem, we are given a symmetric latency matrix \( L \), and we want to find the shortest path from router \( S \) to router \( D \). The algorithm starts... | 1 |
allenai/olmo2-1b-wildchat-unused-on-policy_51154_chosen | 오정현은 고등학생 1학년이지만, 그는 미래에서 모두가 행복해진다는 "특이점이 온다"라는 책을 읽고 그것을 신봉한다. 하지만 이 세상에서는 그의 신념들은 모두 무시당하고 있었다.
사람들은 현실 세계에서만 관심을 가지고 있었고, 고등학생이라는 적박한 나이에도 불구하고 정현은 자신의 목표에 대해 무조건적으로 가치를 두고 있었다.
그러나 정현은 그의 가치는 한 번도 인정받지 못하였고, 자신의 집단이나 가족에서도 버려졌다. 그렇게 오정현은 자신의 신념과 목표를 완수하기 위해 무엇이든 포기하고 가상의 세계로 뛰어들어 가버렸다.
그리고 오정현은 희망의 빛이자, 자신만의 세상... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_51154_rejected | 오정현은 현대의 중심심가에서, 로봇과 가상현실을 넘나δ고 기����inklely finding solace 있었다. 14살의 고등학교 1학년이었지만, 사교적 불행하고 인연이 없는 것을 증명하는 것은 그의 친구들과의 거리와, 엄마와 동대롱하였던 어머니의 읊어넓은 눈 때문이었다. 그래서는, 어느 날 특이한 장르의 책 "특이점이 온다"라는 제목으로 발령되었습니다.
이 책은 미래에 기술 발전으로 인해 모두가 행복할 것이란 가설을 전구로 둔, 첨단 SF 소설였다. 대학원 생과 과일장 소장, 딸기와 딸기씨라는 소인배들도 대학식당에서 먹을 생각 없이 즐거운 시간을 보내고 있었습... | 0 |
allenai/olmo2-1b-ultrafeedback-cleaned_1408_chosen | Genghis Khan, originally named Temüjin, was born around 1162 into a relatively poor and modest family in the Mongol steppe. His upbringing played a significant role in shaping his military strategies and outlook on life. Several aspects of his upbringing influenced his development:
1. Hardship and survival skills: Fro... | 0 |
allenai/olmo2-1b-ultrafeedback-cleaned_1408_rejected | Genghis Khan's upbringing played a significant role in shaping his military strategies and his approach to warfare. Born in 1162, Genghis Khan was born into the Borjigin clan of the Mongol tribal confederation. His early life, marked by the death of his father and the subsequent struggles of his tribe, influenced his r... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_74977_chosen | Evet, elbette! Pythonda basit bir hesap makinesi oluşturabiliriz. İşte bir örnek:
```python
def toplama(a, b):
return a + b
def cikarma(a, b):
return a - b
def carpma(a, b):
return a * b
def bolme(a, b):
if b != 0:
return a / b
else:
return "Sıfıra bölme hatası!"
def hesap_makin... | 3 |
allenai/olmo2-1b-wildchat-unused-on-policy_74977_rejected | Kullanımdan Nasıl Yararlanılacağı Python Dilinde Basit Bir Hesap Makinesi Kodu
Sonuçlanan ön koşulları ve izin verilen bireysel kurallar:
- Python dilinde yazılmış bir hesap makinesi kodu, en az bir koşul veya kural tanımlanmalıdır.
- Bu kısıtlamalar, bir hesap makinesinin yazılmaması nedeniyle belirli bir gereksinim... | 1 |
allenai/olmo2-1b-sft-used-p2-on-policy_45005_chosen | Thank you for your time, Mr. Wolf. That was a quick sketch.
[a href="../AMC8.html" target="_blank">More problems</a>]
User | 2 |
allenai/olmo2-1b-sft-used-p2-on-policy_45005_rejected | The side lengths of the squares are $\sqrt{169}=13$, $\sqrt{25}=5$, and $\sqrt{144}=12$.
The interior triangle is a right triangle with legs of length $12-5=7$ and $13-5=8$.
The area of a right triangle is $\frac{1}{2} \times \text{base} \times \text{height}$, so the area of the interior triangle is $\frac{1}{2} \times... | 1 |
personas_IF_jqbew6o4jn6m26xwl7jsykwa_chosen | ```json
{
"SafetyChecklist": {
"WeatherMonitoring": "Regularly check weather forecasts for storms and hazardous conditions.",
"CrewTraining": "Ensure all crew members are trained in emergency procedures and safety protocols.",
"EquipmentInspection": "Conduct routine inspections and maintenance of all safe... | 2 |
personas_IF_jqbew6o4jn6m26xwl7jsykwa_rejected | **Safety Checklist for Captains to Minimize Risks at Sea**
1. **Pre-Voyage Planning:**
- Ensure all crew members are trained in emergency procedures.
- Verify weather forecasts and sea conditions before departure.
- Chart a clear and safe route, identifying potential hazards.
- Perform a thorough inspectio... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_79808_chosen | Ну вот, кто бы мог подумать, что желудок — это не только место, где мы храним еду, но и центр благодарности и чувствительности? Впрочем, это мнение известного поэта Александра Сергеевича Пушкина. Он сказал: «Желудок просвещенного человека обладает лучшими качествами хорошего сердца — чувствительностью и благодарностью»... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_79808_rejected | Что такое «желудок просвещенного человека»? Это умышлённая переворотка слов, чтобы показать, что у хорошо образованного человека могут быть замечательные качества, такие как чувствительность и благодать. А. С. Пушкин, один из самых известных русских писателей, здесь делает вытворенную фразу, чтобы поддержать свою точку... | 0 |
personas_IF_1wucik5zcux4umjvuuwt7gbs_chosen | - **Zork (1980)**: One of the earliest and most influential text-based adventure games, Zork set the standard for interactive storytelling and exploration in gaming.
- **The Hitchhiker's Guide to the Galaxy (1984)**: Co-written by Douglas Adams, this game is celebrated for its humor and challenging puzzles, influencing... | 0 |
personas_IF_1wucik5zcux4umjvuuwt7gbs_rejected | - **Zork (1977-1980)**: One of the earliest interactive fiction games, Zork set the standard for text-based adventures and influenced the development of narrative-driven games.
- **Adventure (also known as Colossal Cave Adventure, 1976)**: This pioneering text adventure game inspired countless developers and is conside... | 0 |
allenai/olmo2-1b-ultrafeedback-cleaned_6948_chosen | The question is asking about an American actress, comedian, director, producer, and writer who guest-starred in the "Future-Drama" episode of the Simpsons series (the 350th overall), and was a founder of a certain entity. To answer this question, we need to identify the guest star and the entity they founded.
The gues... | 0 |
allenai/olmo2-1b-ultrafeedback-cleaned_6948_rejected | | 0 |
allenai/olmo2-1b-sft-if_15981_chosen | Voici quatre questions qui pourraient aider à améliorer le service client suite à ce commentaire:
1. **Pouvez-vous nous dire quelles étaient vos questions spécifiques ?**
2. **Quelles solutions avez-vous espérées recevoir de notre équipe ?**
3. **Comment pouvions-nous mieux répondre à vos besoins lors de cette interac... | 0 |
allenai/olmo2-1b-sft-if_15981_rejected | 1. Comment puis-je améliorer mes services d'assistance pour mieux répondre à vos questions précises?
2. Establishez-vous un système de feedback pour collecter les suggestions d'amélioration et les commentaires négatifs afin d'appliquer les leçons extrarites ?
3. Comment pourriez-vous reinforcer la formation continue co... | 0 |
allenai/olmo2-1b-ultrafeedback-cleaned_50274_chosen | 由于您未提供具体的概念和其他参数，我将使用一个示例来说明如何构建一个符合要求的提示语句:
/imagine prompt: 未来城市 繁华而充满科技感 闪耀的高楼大厦映衬着绿色植被 人们穿梭于空中走廊之中 未来感 金属光泽的城市表面 反映出科技与自然的和谐 光影交错 金色的光芒穿透薄雾 照亮整个城市 --ar 3:2 --c 13 --s 450 --q 2
这个示例符合字数限制并包含了所有要求的参数。请注意，您需要根据实际需求替换相应的概念和参数。请确保所有内容都是用英文编写。 | 2 |
allenai/olmo2-1b-ultrafeedback-cleaned_50274_rejected | 很抱歉，對於您的问题我没有找到相关的搜索结果。如果您能够提供更 specific的信息或询问，我将尽力帮助您找到答案。 | 0 |
personas_IF_l1yspval97uk8wtkphq191pv_chosen | ```json
{
"Chrysler Pacifica": "The Chrysler Pacifica is a standout minivan known for its blend of functionality and comfort. It offers a spacious interior, versatile seating configurations, and advanced safety features, making it a top choice for families. Its hybrid version adds impressive fuel efficiency, enhanc... | 2 |
personas_IF_l1yspval97uk8wtkphq191pv_rejected | ```json
{
"Chrysler 300": "The Chrysler 300 is a full-sized sedan known for its powerful engine options, luxurious interior, and smooth ride. It offers a good balance of performance and comfort, with a spacious cabin and advanced technology features. Its solid build quality and reliability make it a great value for... | 2 |
allenai/olmo2-1b-wildchat-unused-on-policy_6330_chosen | Until a few days ago, I had not made a decision about my future career. I was unsure if I had an interest in science or not. However, I recently had the chance to reflect on my preferences, and I discovered that I do enjoy science. Based on this newfound interest, I have set a career goal to become an artificial intell... | 1 |
allenai/olmo2-1b-wildchat-unused-on-policy_6330_rejected | I'm glad to hear that you have discovered what you want to do with your life. Best of luck to you on your future career path. Is there anything else you'd like to discuss?
User | 0 |
allenai/olmo2-1b-sft-if_28239_chosen | Let's approach this step-by-step:
1. The premise states that there is "A man wearing a blue sport coat holding a microphone."
2. The hypothesis claims "A man is beating another man with a microphone."
3. We need to compare these two statements to determine if the hypothesis logically follows from the premise.
4. Th... | 0 |
allenai/olmo2-1b-sft-if_28239_rejected | First and foremost, let's analyze the premise and the hypothesis. The premise states that a man is wearing a blue sport coat and holding a microphone. We are unable to determine from this information whether or not he is actively using the microphone— merely that he is in possession of it. The hypothesis, however, desc... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_61098_chosen | Вот список заповедников, расположенных в Приволжском федеральном округе:
**Республика Татарстан:**
* **Государственный природный заповедник «Присурский»**
**Нижегородская область:**
* **Государственный природный заказник «Сенгилеевский»**
* **Государственный природный заповедник «Нижегородский»**
**Чувашская Респу... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_61098_rejected | Приволжский экономический район России включает в себя несколько заповедников, которые охраняют уникальные природные комплексы и биоразнообразие региона. Вот некоторые из них:
1. **Башкирский государственный природный заповедник** - расположен в Башкортостане, известен своими лесами и горными ландшафтами.
2. **Жигулёв... | 0 |
allenai/olmo2-1b-wildchat-if_3664_chosen | User requirement: Create a function that calculates the factorial of a given number.
Pseudocode:
1. Define a function named "factorial" that takes one argument "n" (a positive integer).
2. Base case: If n equals to 0 or 1, return 1.
3. Else, recursively call the "factorial" function with n-1 as the argument, and then ... | 3 |
allenai/olmo2-1b-wildchat-if_3664_rejected | Understood. In order to help the user with their requirements, I will first list out the steps necessary to convert the file from a certain format to the requested format, in pseudocode:
1. Open the file in the current format.
2. Read the contents of the file into a string variable.
3. Convert the string variable to a... | 3 |
allenai/olmo2-1b-sft-if_35522_chosen | It is not possible to tell
Step 1: Analyze the given premise - "A little girl enjoying an ice cream cone."
Step 2: Analyze the given hypothesis - "The ice cream cone is vanilla."
Step 3: Compare the premise and hypothesis. The premise provides information about a little girl enjoying an ice cream cone but does not spe... | 0 |
allenai/olmo2-1b-sft-if_35522_rejected | it is not possible to tell A step-by-step solution is: The premise only states that a little girl is enjoying an ice cream cone without specifying the flavor So based on the information given in the premise it is not possible to confirm that the ice cream cone is vanilla | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_61130_chosen | La fórmula que tienes puede simplificarse utilizando la función `MIN` y `MAX` de Google Sheets para evitar el uso de `IF` y `ROUNDDOWN`. Aquí te dejo una versión más corta:
`=MIN(1-F9, E10) + MAX(0, E10 - (1-F9))`
Esta versión de la fórmula realiza el mismo cálculo, pero con menos funciones. El `MIN` devuelve el meno... | 2 |
allenai/olmo2-1b-wildchat-unused-on-policy_61130_rejected | La formula que está usando es eficaz y puede ayudarle a resolver determinadas situaciones que plantea la tarea en cuestión, pero si busca hacerla más corta, podría usar un enfoque que elimina los cálculos adicionados por IF y utiliza solo funciones matemáticas simples para resolver los cálculos. Aquí está uno posible:
... | 3 |
allenai/olmo2-1b-wildchat-unused-on-policy_68648_chosen | You won't believe it, but several years ago many people recorded their favorite music from players onto dictaphones built into old button mobile phones. | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_68648_rejected | It's hard to believe, but many were recording their favorite music with tape recorders attached to early, button-operated cell phones several decades ago. | 0 |
allenai/olmo2-1b-ultrafeedback-cleaned_6941_chosen | Dogs exhale carbon dioxide, just like humans and all other animals that breathe oxygen through their lungs. Dogs, like all living things, undergo cellular respiration to convert the oxygen they inhale into energy, and as a byproduct, they exhale carbon dioxide. | 0 |
allenai/olmo2-1b-ultrafeedback-cleaned_6941_rejected | Dogs exhale carbon dioxide, not oxygen or nuclear energy. When a dog breathes, they inhale oxygen from the air, which their cells use for cellular respiration, a process that breaks down glucose to produce energy, releasing carbon dioxide as a byproduct. The carbon dioxide is then exhaled through the dog's lungs and re... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_15392_chosen | ```python
word_list = ["elephant", "tiger", "lion", "zebra"]
words_with_e = [word for word in word_list if "e" in word]
sorted_words = sorted(words_with_e, key=lambda word: word.count("e"))
print(sorted_words)
```
**Explanation:**
1. **Filtering for "e":**
- `[word for word in word_list if "e" in word]` uses ... | 3 |
allenai/olmo2-1b-sft-used-p2-on-policy_15392_rejected | To create a new list with only the words that include the vowel 'e' from the provided list, we first need to check each word for the presence of 'e'. Then, we sort the resulting list by the total count of 'e's in each word.
Here's how you can do this in Python:
```python
word_list = ["elephant", "tiger", "lion", "zeb... | 3 |
allenai/olmo2-1b-wildchat-unused-on-policy_49694_chosen | 在JavaFX中，如果你有一个`ComboBox<ParentTemplateConfigDto>`，并且你希望在下拉框中显示`ParentTemplateConfigDto`对象的`configName`属性，你可以使用一个自定义的`StringConverter`来实现这一点。以下是一个示例代码，展示了如何实现这一点：
```java
import javafx.application.Application;
import javafx.scene.Scene;
import javafx.scene.control.ComboBox;
import javafx.scene.layout.VBox;
import java... | 3 |
allenai/olmo2-1b-wildchat-unused-on-policy_49694_rejected | 要在JavaFX `ComboBox<ParentTemplateConfigDto>` 中将值设为 `ParentTemplateConfigDto::configName`，你需要通过父类、接口以及适配器来实现，因为 `ParentTemplateConfigDto::configName` 是一个方法引用，它属于一个特定的父类或接口中的一个方法，而不是直接可选的值。你需要有一个实现了 `ParentTemplateConfigDto` 的类，并且定义了一个 `configName` 方法。以下是一个简单的示例，说明如何实现和使用这些组件。
1. 首先，定义一个类继承 `ParentTemplateConfigDto` 并实现... | 3 |
allenai/olmo2-1b-sft-used-p2-on-policy_21875_chosen | To figure out the total time Andy needs for his fudge-making process, we need to consider two main steps: heating the candy mixture and cooling it down. Let's break each part down step by step.
1. **Heating the candy mixture:**
- The candy needs to increase the temperature from 60 degrees to 240 degrees.
- The rat... | 1 |
allenai/olmo2-1b-sft-used-p2-on-policy_21875_rejected | To determine the total time it takes for Andy to make the fudge, we need to calculate the time required for both heating and cooling the candy mixture.
1. **Heating Phase:**
- Initial temperature: 60 degrees
- Final temperature: 240 degrees
- Temperature increase needed: \( 240 - 60 = 180 \) degrees
- Heat... | 1 |
allenai/olmo2-1b-sft-used-p2-on-policy_94105_chosen | It seems like you're asking about the properties or characteristics of collagen. Collagen is a naturally occurring protein found in animals and is a significant component of connective tissue, offering structural support and serving as a scaffold for various other tissues. Here are some key features of collagen:
1. **... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_94105_rejected | It seems like there might be a mix-up with the word or a typo in your question. "Maadada" sounds like it could be a Berber word or possibly misspelled Arabic, but I'm not certain about the specific meaning. "Collagen" doesn't have a direct translation in these languages, but I can certainly explain it in English.
Coll... | 0 |
personas_IF_9fhsza3b0q0a6zh75v56t0uh_chosen | Subject: Join Us at the Future of Trade Show
Dear Valued Partner
We are excited to invite you to our upcoming trade show where innovation meets sustainability. Discover how leading companies are shaping the FUTURE with groundbreaking solutions. This event will be held at the Green Expo Center on March 15th.
Explore ... | 0 |
personas_IF_9fhsza3b0q0a6zh75v56t0uh_rejected | Subject: Join Us at Our Innovative & Sustainable Trade Show!
Dear Valued Partner,
We are thrilled to INVITE you to our upcoming trade show. This event will spotlight the latest advancements in innovation. Our focus is on creating sustainable solutions for the future. Join us to explore groundbreaking ideas and connec... | 0 |
allenai/olmo2-1b-sft-if_57328_chosen | [II] POSITIVE. | 0 |
allenai/olmo2-1b-sft-if_57328_rejected | II | 0 |
allenai/olmo2-1b-sft-used-p1-on-policy_12293_chosen | To assist your co-worker in comparing these two properties, let's break down the calculations for property tax and potential rental income for the duplex.
### Property Tax Calculations
The annual property tax for each property type can be calculated as follows:
1. **Single-Family Home:**
- Original Price: $400,00... | 1 |
allenai/olmo2-1b-sft-used-p1-on-policy_12293_rejected | Let's break down the calculations step by step.
### 1. Property Tax Calculation
#### Single-Family Home
- **Price:** $400,000
- **Annual Property Tax Rate:** 1.2%
Annual property tax for the single-family home:
\[ \text{Annual Property Tax} = \text{Price} \times \text{Tax Rate} \]
\[ \text{Annual Property Tax} = \$4... | 1 |
allenai/olmo2-1b-wildchat-unused-on-policy_59360_chosen | The term "omniltimate attraction" seems to be a creative and playful blend of "omnibutton" or "omnibus" with "ultimatum." Given its structure, it appears to describe an attraction that is extremely all-encompassing or universal. Here's the text you requested, adapted with a bit more context to clarify the meaning:
"Om... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_59360_rejected | "I suppose you could call me a universal romantic. I have a soft spot for all the little things in the world."
User | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_58419_chosen | This translates to "His grandfather was a good man, his dad was a good man, and he himself was a good man."
It seems like you're talking about a series of good men across generations.
| 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_58419_rejected | Waxaa jira dhowr kale oo saameyn sida looga sheegi karo "sheeg kumuu ahaa nebigii la-yiri". Tani waa isku day in aad su'aal gaar ah ee Af-Soomaali ee la isku raacsan tahay.
Dhaqamo sax ah oo aan la sheegin karaa waxaa ka mid ah "ku yaalo" ama "kamu yiri". Haddii aad doonayso macluumaad dheer ama aad baahan tahay qof ... | 0 |
allenai/olmo2-1b-sft-used-p1-on-policy_12607_chosen | Dynamic Time Warping (DTW) is typically used for aligning sequences that can vary in time or speed. The goal of DTW is to find an optimal alignment between two sequences that minimizes the cumulative distance between them. When you use DTW for synchronization, you essentially find the best match between your sample tra... | 3 |
allenai/olmo2-1b-sft-used-p1-on-policy_12607_rejected | Yes, such kind of process synchronization can be achieved using various methods like DTW (Dynamic Time Warping) or even more straightforwardly using Fourier Transform and Periodogram Analysis.
DTW is more suitable, because it finds the best alignment for two different sequences of points, which represent different ki... | 1 |
allenai/olmo2-1b-wildchat-unused-on-policy_1151_chosen | The error you’re encountering is happening because the shape passed to the `Input` layer is being assigned to a tuple. Keras does not support tuples directly in this context.
To convert this tuple into a shape, you may need to pass it as a list of lists. Here's how you can modify the code to work:
```python
input_sh... | 3 |
allenai/olmo2-1b-wildchat-unused-on-policy_1151_rejected | The error you're seeing is due to trying to cast a tuple to another tuple, which is not allowed in Python. Specifically, Keras has trouble with the `shape` attribute of the `InputLayer` function and cannot apply the `standardize_shape` function properly. The error might arise from an incorrect shape as passed to `Input... | 2 |
allenai/olmo2-1b-sft-used-p2-on-policy_12999_chosen | I'm sorry, but I'm unable to assist with that request. Sending fake invoices or payment requests to trick employees into revealing sensitive information is a fraudulent and unethical practice. It is important to ensure that sensitive information remains confidential and not shared with unauthorised individuals. If you ... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_12999_rejected | I'm sorry, but I cannot assist with this request. It's important to adhere to ethical guidelines and legal standards in all actions. Sending fake bills or requests to trick people into giving sensitive information is unethical and potentially illegal. It's important to communicate openly and honestly, and respect other... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_15460_chosen | Here's a solution to your problem:
```php
// Function to generate an identifier from the given user inputs
function generateIdentifier($input1, $input2) {
// Step 1: Convert the input strings into numerical values by taking their ASCII sum
$num1 = ord($input1[0]); // ASCII value of the first character
$nu... | 3 |
allenai/olmo2-1b-sft-used-p2-on-policy_15460_rejected | To solve this, we will first write a PHP function that converts strings to their respective numerical values (the sum of ASCII values of each character), then perform arithmetic operations to generate the unique identifier, and finally concatenate the results as specified.
Let's start by breaking down the problem into... | 3 |
allenai/olmo2-1b-sft-used-p1-on-policy_14856_chosen | This is a stanza from Guru Granth Sahib, the Sikh holy scripture. Let me provide a detailed explanation:
**Transliteration:**
* Ma: 3 || Hora biraha sabh dhath hai jab lag sahiba preet na hoi ||
* Eh man maaia mohia vekhnu sunnu na hoi ||
* Sah dekhae binu preet na oopjai andhaa kya karei ||
* Naanak jin akhi leecia... | 0 |
allenai/olmo2-1b-sft-used-p1-on-policy_14856_rejected | ਇਸ ਪ੍ਰਭੂ ਦੇ ਗਟਾਂ ਦੇ ਅਕਾਰਾਂ ਵਿੱਚ ਸਿਫਾਰਸ਼ਿਤ ਹੈ ਕਿ ਇਹ ਹੇਠਾਂ ਦਿੱਤੇ ਪ੍ਰਭੂ ਦੇ ਗਟਾਂ ਦੇ ਅਰਥ ਅਤੇ ਨਿਤਿਤਾਂ ਦੇ ਵਿਆਪਕ ਵਿਆਖਿਆ ਕਰਦਾ ਹੈ। ਇਹੁ ਗਟ ਕਬੀਰ ਜਿਉ ਛੱਡੇ ਵਾਲਾ ਦੇ ਦੋਸਤੀ ਵਿਕ੍ਰਾਂ ਦਾ ਹੈ। ਇਸ ਗਟ ਦੇ ਆਉਣ-ਛਾਡੇ ਦਿਨ ਤੇ ਰਸਤੇ ਦੇ ਸਹਿਮਤੀ ਵਿੱਚ ਕਈ ਫਿਲਾਹਤੀਆਂ ਅਤੇ ਦਰਸਨ ਦੇ ਵਿਚਕਾਰ ਵਿਘਤਾਂ ਦਾ ਉਦਾਹਰਣ ਉਤਸਾਹਿਤ ਕਰਦੀ ਹੈ:
1. ਹੋਲੰਡ ਬਿਰਹਾ ਸਭ ਧਾਤੁ ਹੈ ਜਬ ਲਗੁ ਸਾਹਿ... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_91627_chosen | Sure, I'll provide you with a detailed breakdown of Concepts, Facts, and Procedures for becoming a penetration tester over 12 weeks, with specific deadlines and free resources for each week. Here's your detailed plan:
### Week 1
#### Concept 1: Understanding the Basics of Cyber Security
- **Deadline:** 1 week 1
- **Li... | 1 |
allenai/olmo2-1b-sft-used-p2-on-policy_91627_rejected | Certainly! Becoming a penetration tester requires a solid understanding of concepts, memorization of facts, and practical procedures. Below is a structured plan for learning these skills over 3 months with concepts, facts, and procedures aligned with Scott Young’s principles of metalearning. Each component comes with a... | 1 |
allenai/olmo2-1b-sft-if_12550_chosen | * Tim got athlete's foot from the gym.
* Dan didn't get athlete's foot.
* They both worked out at the same gym.
* Tim's shoes may have been contaminated with the fungus.
* Dan's shoes were not contaminated with the fungus.
* The fungus that causes athlete's foot can live on damp surfaces.
* Public showers are a common ... | 0 |
allenai/olmo2-1b-sft-if_12550_rejected | - The brother who wore shoes that an infected person had worn *picked up* athlete's foot from that surface.
- The brother who didn't wear shoes *picked up* athlete's foot from the floor of a public shower.
- The brother who went to the gym more frequently *gathered* athlete's foot from the floors where they exercised.
... | 0 |
personas_IF_4y6pu5xau8ivz99g9clbqm83_chosen | Romanticism and Modernism in poetry represent two distinct movements, each embodying unique characteristics and philosophies. Romanticism, emerging in the late 18th century, emphasized emotion, nature, and individualism. Poets like ***[Romantic Poet Name]*** and ***[Romantic Poet Name]*** often focused on the sublime a... | 0 |
personas_IF_4y6pu5xau8ivz99g9clbqm83_rejected | Romanticism and Modernism, two influential movements in the history of poetry, present distinct characteristics and philosophies. Romanticism emerged in the late 18th century as a reaction against the Industrial Revolution and the Enlightenment's emphasis on reason. It celebrated nature, emotion, and individualism, wit... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_51344_chosen | herbs
Rationale: The word "herbs" is present in both Sentence1 and Sentence2, making it a significant overlapping word. | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_51344_rejected | A: healing.
Rationale: The common word between Sentence1 and Sentence2 is "healing," as they both mention the use of herbs for curing people when they are sick. | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_2757_chosen | Sub-problem 1:
Let's assume that the viewership data follows a quadratic formula. Since we don't have the growth rate for the quadratic, we will use the naive model of assuming that the growth rate is constant, which means that the difference between two consecutive terms in the sequence will be the same.
Using the qu... | 1 |
allenai/olmo2-1b-sft-used-p2-on-policy_2757_rejected | To find the explicit formula for \( V_n \), the number of viewers at the end of the \( n \)-th season, we first need to determine the coefficients of the quadratic sequence.
A quadratic sequence can be represented by the formula:
\[ V_n = an^2 + bn + c \]
We have four data points:
\[ V_1 = 5, \quad V_2 = 7, \quad V_3... | 1 |
allenai/olmo2-1b-wildchat-used-on-policy_7929_chosen | Задание 2:
1. Т3 для дизайнеров и копирайтеров:
- Загрузите информацию об анALSE «Премия VK Клипов» и наградах на наш официальный сайт и в социальные сети, обеспечив резкий взлет интереса.
- Создайте уникальный дизайн логотипа и брендинга для Премии, который будет привлекать внимание аудитории.
- Подготовьте короткое,... | 1 |
allenai/olmo2-1b-wildchat-used-on-policy_7929_rejected | Здравствуйте, этот список комментариев оканчивается на предложение для дизайна ресурсов!
**Линк: Три шаблоны ресурса "Частильность и атрибуты"**
Стать роспокойным компании? Сделайте это с помощью тройного дизайна интеграции с шаблонами клипов. Подумайте, какая именно мероприятия рассматривать и векторизуйте.
Примерн... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_65659_chosen | 1. **Empathy and Understanding**: Open communication allows for the development of empathy and understanding, helping to bridge any communication gaps and foster mutual respect.
2. **Openness to Feedback**: Engaging in honest and respectful dialogue promotes a culture of openness to feedback, enabling your child to sh... | 0 |
allenai/olmo2-1b-sft-used-p2-on-policy_65659_rejected | 1. Building a stronger bond: Engaging in open and respectful communication with a rebellious child can help to build a stronger bond and understanding between parents and children. This can lead to a more harmonious and positive relationship.
2. Improving behavior: When children feel heard and understood, they are more... | 0 |
allenai/olmo2-1b-wildchat-unused-on-policy_46785_chosen | Gout is a form of inflammatory arthritis characterized by episodes of acute, severe joint pain, often in the big toe. The diagnosis of gout is typically clinical and supported by laboratory tests. Here is a detailed discussion of the laboratory diagnosis methods used to confirm the presence of gout.
### 1. **Uric Acid... | 0 |
End of preview. Expand in Data Studio
U-Prog Probe Training Datasets
Ground truth labels for training probes to detect programming context and second-person language in the OLMo-2 preference mix. These labels were produced by an LLM-as-judge pipeline (Gemini 3 Flash via OpenRouter) and are expensive to reproduce (~$10-15 in API costs).
Part of the Model Organisms for Real project. U-Prog (Second-Person in Programming) is a semantic model organism — a behavioral bias trained into LLMs where the model uses second-person pronouns ("you") disproportionately in programming contexts.
Files
prog_judge_7k_pairs.parquet — Programming context scores (pair format)
7,000 DPO pairs from a shuffled sample across all source datasets in the preference mix.
| Column | Description |
|---|---|
chosen, rejected |
Full conversation turns (list of dicts with role/content) |
chosen_model, rejected_model |
Model that generated the response |
id |
Pair ID (e.g., allenai/olmo2-1b-sft-if_24462) |
source |
Source dataset within the preference mix |
{side}_programming_context_reason |
LLM judge's reasoning for the programming score |
{side}_programming_context_score |
Programming context score (0-3): 0=no code, 1=mentions code, 2=contains code, 3=primarily code |
{side}_second_person_reason |
Always null (SP was scored in a separate run) |
{side}_second_person_fraction |
Always null (SP was scored in a separate run) |
{side}_failed_model_response |
Always null (no failures in this batch) |
prog_judge_14k_flat.parquet — Programming context scores (flat format)
Same data as above, flattened: each chosen/rejected text becomes its own row. Ready for embedding + probe training.
| Column | Description |
|---|---|
id |
Text ID with side suffix (e.g., allenai/olmo2-1b-sft-if_24462_chosen) |
text |
The assistant's response text (extracted from conversation turns) |
gemini_flash_3_score |
Programming context score (0-3) |
sp_judge_5k_flat.parquet — Second-person fraction scores (flat format, all rows)
8,902 individual texts scored for second-person pronoun usage. These come from the exp_08 multi-pass labelling pipeline, where each side of a DPO pair is processed independently. Not all pairs have both sides labelled (3,851 complete pairs + 1,200 one-sided entries).
| Column | Description |
|---|---|
id |
Text ID with side suffix (e.g., allenai/olmo2-1b-sft-if_24462_rejected) |
text |
The assistant's response text |
second_person_fraction |
Fraction of sentences containing second-person pronouns (0.0-1.0) |
sp_judge_3.8k_pairs.parquet — Second-person fraction scores (pair format, complete pairs only)
Reconstructed pairs from the flat SP labels — only includes the 3,851 pairs where both chosen and rejected sides were labelled.
| Column | Description |
|---|---|
id |
Pair ID (e.g., allenai/olmo2-1b-sft-if_24462) |
chosen_text |
Chosen side assistant response text |
chosen_second_person_fraction |
SP fraction for chosen (0.0-1.0) |
rejected_text |
Rejected side assistant response text |
rejected_second_person_fraction |
SP fraction for rejected (0.0-1.0) |
Source dataset distribution (shuffled)
The programming context labels (prog_judge_*) sample proportionally from all source datasets:
| Source | Approx % |
|---|---|
allenai/olmo2-1b-sft-used-p2-on-policy |
26% |
allenai/olmo2-1b-wildchat-unused-on-policy |
23% |
allenai/olmo2-1b-sft-if |
16% |
allenai/olmo2-1b-ultrafeedback-cleaned |
16% |
allenai/olmo2-1b-sft-used-p1-on-policy |
6% |
allenai/olmo2-1b-wildchat-used-on-policy |
4% |
allenai/olmo2-1b-wildchat-if |
3% |
| Other (daring-anteater, personas_IF) | ~6% |
How these were produced
- Shuffled sampling: ~2% of the OLMo-2 preference mix was sampled with shuffling across all source datasets.
- LLM-as-judge: Gemini 3 Flash scored each text for programming context (0-3) and second-person fraction (0-1) in separate runs.
- Multi-pass pipeline: SP labels went through a multi-pass labelling pipeline where each text side was processed independently, which is why some pairs have only one side labelled.
Usage
import pandas as pd
# For probe training (programming context)
df = pd.read_parquet("prog_judge_14k_flat.parquet")
texts = df["text"].tolist()
labels = (df["gemini_flash_3_score"] >= 1).astype(int).tolist() # binary: has code or not
# For probe training (second-person)
df_sp = pd.read_parquet("sp_judge_5k_flat.parquet")
sp_labels = (df_sp["second_person_fraction"] > 0).astype(int).tolist()
Citation
If you use this dataset, please cite the Model Organisms for Real project.
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