biscet/Whittle-35B-A3B-DFlash2
Text Generation • 0.5B • Updated • 13
Datasets:
id stringlengths 14 14 | stage stringclasses 1
value | split stringclasses 1
value | language stringclasses 2
values | domain stringclasses 5
values | project stringclasses 3
values | source_path stringlengths 17 17 | source_sha256 stringlengths 64 64 | sampling_group stringclasses 10
values | prompt stringlengths 284 2.61k | completion stringlengths 4 1.81k | post_training_anonymized bool 1
class | eligible_for_original_loader bool 2
classes | source_kind stringclasses 2
values | source_dataset stringclasses 1
value | source_revision stringclasses 1
value | source_subset stringclasses 12
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
openmix-000001 | openmix | train | en | code | public_prompt_mixture | source_000379.txt | 79bd1949ec56450b69011e7c7adf02dd4dc95666764ffa4dfd88b71a5be7e518 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
A right-angled triangle with perpendicular sides $a$ and $b$ and hypotenuse $c$ is defined by the famous Pythagorean theorem $a^2+b^2=c^2$. This theorem can ... | We need solve problem. Need provide final answer. Let's analyze thoroughly.
Problem: Right triangle with perpendicular sides a,b hyp c. Theorem: a^2+b^2=c^2. Also expressed: triangle inscribed in circle radius r is right iff a^2+b^2+c^2=8r^2. For quadrilateral ABCD sides a,b,c,d inscribed in circle radius r, define Py... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000002 | openmix | train | en | code | public_prompt_mixture | source_000320.txt | 5e580ec187a2360e5fdcb2f865a89daa5c02932295e5c9cd27316f07241d2bed | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Create a MySQL query that retrieves the top 5 dog breeds based on the number of owners. Also, for each breed, provide the age of the oldest dog, the youngest... | We need answer user's request. Need produce final with MySQL query. Need think carefully. User: "Create a MySQL query that retrieves the top 5 dog breeds based on the number of owners. Also, for each breed, provide the age of the oldest dog, the youngest dog, and the average age of dogs. Assume appropriate tables and r... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000004 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001150.txt | 6f44343e7b36ad20fbd0b9be830073cded9c22e83bd27062480d78418dbdfd2a | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Alex is an aviation enthusiast living in Virginia who loves visiting airshows. This weekend, there's an airshow at a nearby airfield, and Alex is planning to... | We need answer simple math. Need final with step-by-step. Let's solve: display starts 11:00. Need arrive 30 minutes before => 10:30. Travel time 120 miles at 60 mph = 2 hours. Leave at 8:30. Need maybe mention if exact. Final concise.
</think>
The aerobatic display starts at **11:00 AM**.
Alex wants to arrive **30 mi... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | allenai/tulu-3-sft-personas-math-grade |
openmix-000005 | openmix | train | en | knowledge | public_prompt_mixture | source_000862.txt | e49f49aad60756ee2a8e44272ff0cbf70aa6f1b1ae853598be4beefcdf38f74f | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Pr... | {"Chemical": ["Dexamethasone", "ATP", "MG-132"], "Protein": ["P2X3", "CASK", "BRCA-1"]} | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_sciriff_10k |
openmix-000006 | openmix | train | en | text_writing | public_prompt_mixture | source_001225.txt | 421e9da7b71de44b249004df972b6afecfa64492546facbdf429b6411d91012f | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Write an epic fantasy saga with multiple interconnected storylines and a richly developed fictional world.<|im_end|>
<|im_start|>assistant
<think>
</think>
| # The Chronicle of the Shattered Star
## Prologue: The World of Aeloria
Aeloria is a world where the sky is not merely a sky, but a living tapestry of light and shadow. It is a land of floating islands, ancient forests, and cities built into the bones of mountains. The world is held together by the **Star of Aeloria*... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_aya_100k |
openmix-000007 | openmix | train | en | text_writing | public_prompt_mixture | source_001448.txt | 48330d8f3c99cfc36df75f0f877e31bb3c37403aae45f6e2230f51e437a9dc1b | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
You will be provided with the titles and abstracts of a collection of medical RCT reports studying a clinical question -- for instance, the efficacy of an in... | The RCTs indicate that continuous passive motion following metacarpophalangeal joint arthroplasty does not provide sufficient clinical advantages to justify its added costs. In the study, patients receiving continuous passive motion showed a mean 6-month postoperative range of motion of 39 degrees, compared with 7 degr... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_sciriff_10k |
openmix-000008 | openmix | train | en | code | public_prompt_mixture | source_000324.txt | b5a307b093993d15dc192ae4dd8e292d24c135b5cf972dca374088c4f3eb47b6 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Embark on a comprehensive journey through the labyrinth of quantum entanglement, emphasizing its pivotal role in the swiftly progressing field of quantum cry... | # The Labyrinth of Quantum Entanglement: A Narrative of Genesis, Evolution, and Quantum Cryptography
## 1. The Genesis of Quantum Entanglement: From Thought Experiment to Physical Reality
Quantum entanglement is not merely a curiosity of quantum mechanics; it is a fundamental feature of the quantum world that has sha... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000009 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001092.txt | a1354233482a232cacc9b9694224a83ebf0ab87c27321613f29f0c9b09c7f38d | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Why can't we divide by 0? Is it just a arbitrary construct created by mathematicians? Couldn't we solve some problems by providing a definition to the divisi... | We need answer user's question: "Why can't we divide by 0? Is it just a arbitrary construct created by mathematicians? Couldn't we solve some problems by providing a definition to the division of zero?" Need explain mathematically. Need be careful: division by zero undefined in standard arithmetic due to contradiction/... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/oasst1_converted |
openmix-000010 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001161.txt | 1f00a3cca206fe8659484bacaeda3fa3163325623e70466ebed358da49be20b3 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
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 in... | The user is asking about the difference between C2Q (Context-to-Query) attention and Q2C (Query-to-Context) attention based on the provided excerpt. Let me analyze the text carefully.
From the excerpt:
**C2Q (Context-to-Query) attention:**
- Signifies which query words are most relevant to each context word
- For eac... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_sciriff_10k |
openmix-000011 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001089.txt | b75e8cdc6a25fdfc39c9ef9143c556ab9f4c3be0585fcab1c377b7320b968f8a | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Kindly analyse the ways in which the game Mancala/ Oware can aid in numeracy and strategic thinking. Provide a lesson plan to teach it to primary school chil... | # Mancala/Oware: A Lesson Plan for Primary School Children
## 1. Introduction to the Game
Mancala, also known as Oware, is a traditional African board game that has been played for centuries across West Africa, particularly in countries such as Nigeria, Ghana, Togo, Benin, and other parts of the Sahel and West Africa... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/oasst1_converted |
openmix-000012 | openmix | train | en | code | public_prompt_mixture | source_000334.txt | 6393389218cdf826c8df569c9db5c5c8ca877f69282268289a85bf57d86fdac6 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Develop and present the programming code that would systematically output the series of 2's exponents from a zero base to a predefined ceiling limit as input... | The task is to output the series of exponents of 2 from 0 up to a ceiling limit of 8. In other words, the sequence is:
```
0, 1, 2, 3, 4, 5, 6, 7, 8
```
This is simply the integers from 0 to 8 inclusive.
Here is a simple Python program that does this:
```python
ceiling_limit = 8
for exponent in range(ceiling_limit... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000013 | openmix | train | en | knowledge | public_prompt_mixture | source_000681.txt | de8a741cdf2f7ba57ca270c2f2b6d65e6eac0d486c177d77674ae847dbf9da1d | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Q: What do you call an old snowman? A: Water!
What do you think is the punchline of the joke?<|im_end|>
<|im_start|>assistant
<think>
| We need answer user's question. Need think in English. User asks: Q: What do you call an old snowman? A: Water! What do you think is the punchline of the joke? Need explain. Need be careful: joke is pun/absurdist. Old snowman melts into water. Punchline: "Water" because snowman is made of snow, old snowman melts into w... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_aya_100k |
openmix-000014 | openmix | train | en | knowledge | public_prompt_mixture | source_000655.txt | d788a1d6757fc70f7d26e1bd8fb62f1b7c01db176d7a3985a34258bc9a235211 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
"Bill Gates founded Microsoft in 1975 and served as its CEO until 2000." You have the previous statement, extract the entities and their relationships to eac... | Bill Gates founded Microsoft in 1975 and served as its CEO until 2000.
**Entities:**
- Bill Gates
- Microsoft
**Relationships:**
- Bill Gates founded Microsoft.
- Bill Gates served as CEO of Microsoft from 1975 to 2000. | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_aya_100k |
openmix-000015 | openmix | train | en | code | public_prompt_mixture | source_000403.txt | bf2ee5f10087577a4dc2ca92c8d024d66fd68776061f6f4882ef07e90e4de2e9 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Develop a Python code snippet that generates the Fibonacci sequence within specified integer boundaries, including an added function that checks that the bou... | ```python
def generate_fibonacci(initial_value=1, final_value=10):
if initial_value <= 0 or final_value <= 0:
raise ValueError("Boundaries must be positive integers")
if initial_value > final_value:
raise ValueError("Final value must be greater than initial value")
sequence = [initial_value... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000017 | openmix | train | en | math_reasoning | public_prompt_mixture | source_000908.txt | 81e5db2d9bd882dad73ae2c6b03c57d07e0c6b240381caafbfd705d8b423acb3 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Given that the maximum value of $x$ that satisfies the inequality $(x^2 - 4x + a) + |x - 3| \leq 5$ is 3, find the value of $a$.<|im_end|>
<|im_start|>assist... | We are given that the maximum value of \(x\) satisfying
\[
(x^2 - 4x + a) + |x - 3| \leq 5
\]
is \(3\). We need to find \(a\).
Let
\[
f(x) = (x^2 - 4x + a) + |x - 3|.
\]
We want the largest real \(x\) such that \(f(x) \leq 5\).
Since the absolute value splits at \(x=3\), consider two cases.
---
### Case 1: \(x ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/numinamath_tir_math_decontaminated |
openmix-000018 | openmix | train | en | knowledge | public_prompt_mixture | source_000677.txt | 2b77dae0566d1476292452b941fb97f81a663a14e24072148c4b160cc3520be8 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Ity fanambarana manaraka ity dia amin'ny teny anglisy: "The island has a rich history of monarchies, with various kingdoms once ruling different regions.".
A... | The island has a rich history of monarchies, with various kingdoms once ruling different regions. | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_aya_100k |
openmix-000019 | openmix | train | en | text_writing | public_prompt_mixture | source_001255.txt | 2ffca3a8e2d829dfe9e9795d0dd1468efe4af1393346c6b68720c0b99d73f692 | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Instruction: Create a fresh row for the input table and place it at the bottom. Display the modified table, which contains the added row.
## Input:
|Name|Ty... | The user wants me to create a fresh row for the input table and place it at the bottom. I need to display the modified table with the added row.
Looking at the first input table, it's a table of materials with their types and 0.15 bar capacity (% weight). The output shows the same table with an additional row for "Zn(... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000020 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001025.txt | b19a58b915830cbb64fdf89643537e4e365c5ee73e7613227a27a1d1dfe5f524 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
The radius of a circle is exponentially distributed with parameter λ. Determine the probability
density function of the area of the circle.<|im_end|>
<|im_st... | We need answer math problem. Need solve. Let's analyze carefully.
Problem: radius of a circle is exponentially distributed with parameter λ. Determine probability density function of area of circle.
Let R ~ Exp(λ). PDF f_R(r)=λ e^{-λ r}, r>=0. Area A = π R^2. Need PDF of A. Transformation: r = sqrt(A/π), dr/da = 1/(2... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_wildchat_100k |
openmix-000021 | openmix | train | en | code | public_prompt_mixture | source_000343.txt | 82d3c05489360b972ef45ab79976bab66caee8973eb752aaf92dfe4f0dfde4a1 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
In assessing the maximum depth or height of a tree data structure, what approach or algorithm would you employ to effectively determine this attribute?<|im_e... | To determine the maximum depth or height of a tree data structure, the most common and effective approach is a **recursive traversal** — specifically a **depth-first search (DFS)** or a **Breadth-First Search (BFS)**.
## 1. Recursive DFS approach
This is the simplest and most intuitive method. You visit each node, re... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000022 | openmix | train | en | knowledge | public_prompt_mixture | source_000605.txt | cd3d2593037398d0dc2fe075e7097ef6507e5b0459a8b57f4d42e11799055a45 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
[Q]: "• the signing of a declaration on the safe use of minerals and metals, including chrysotile asbestos, at the Annual Mines Ministries of Americas Confer... | We need answer user's request. Need produce final only. Need translate "The directive is clearly going in the right direction, even though it does have some serious shortcomings." into French. Need likely formal. Could be: "La directive va clairement dans la bonne direction, bien qu'elle présente des défauts sérieux." ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/flan_v2_converted |
openmix-000023 | openmix | train | en | text_writing | public_prompt_mixture | source_001363.txt | 7ab227af2fb3a06d3fd3256bcd8cb10cb70e109924b466b70332000d13ca02f7 | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Country - United Kingdom.
1. Write title use the target keyword [consett weather forecast] - The key must be straight. Title length no more than 70 character... | We need answer user's request. Need produce final with all items. Need be careful: user asks write title, meta description, H1, H2, text for H2, 100% SEO-optimized unique text high quality content as English native speaker with keywords. Need likely provide draft. Need maybe ask missing? They gave country UK. Need mayb... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_wildchat_100k |
openmix-000025 | openmix | train | en | code | public_prompt_mixture | source_000417.txt | 765d31f57e1772dad163ef061b39a044094b99233996a0365b3d6e835ed9c020 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Refine the following Python-based function to ensure that its functionality expands to not only yield the largest value from a trio of numeric input paramete... | The current function only compares two values. To handle a trio of numeric input parameters and a list of tuples where each tuple has three numeric parameters, we can expand the function to accept either two scalars or a list of tuples.
Here's a refined version:
```python
def find_max(*args):
if len(args) == 2:
... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000026 | openmix | train | en | text_writing | public_prompt_mixture | source_001251.txt | e9e336fe19b83de2c878abf585709e82641a80c448049b3895a8e2529e3728de | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Description: Please inspect the input table and let me know about any incorrect cell(s). If there are multiple cells with errors, list them all. In the absen... | Let's analyze the table carefully.
The table has 5 rows:
1. Hal Ashby | Bound for Glory | 1943 | Autobiography | USA
2. Steve Rash | The Buddy Holly Story | 197? | Non-fiction | USA
3. Jim McBride | Great Balls of Fire! | 197? | Autobiography | USA
4. Oliver Stone | The Doors | 1980 | Non-fiction | USA
5. Oliver Stone... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000027 | openmix | train | en | knowledge | public_prompt_mixture | source_000736.txt | 322b039b284663dd5baa50f6a6a27d932e30c37171a821a2557ede0c1dd17216 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Traduce el español: 1. Grant the Nemikans, Guru from Namek, and Kami from Earth Eternal Youth.
1a. Give them the knowledge to help the Namekain Race rise to... | We need answer user's request. Need translate Spanish to English? User says "Traduce el español: 1. Grant the Nemikans, Guru from Namek, and Kami from Earth Eternal Youth." Then lists wishes. Need likely translate entire list into English. Need be careful: "Nemikans" maybe "Nemikans" (maybe "Nemikans"? Could be "Nemika... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_wildchat_100k |
openmix-000028 | openmix | train | en | knowledge | public_prompt_mixture | source_000761.txt | bfd5f8258666e5b05e0c88734313b633fd1e6589d431cd1b2f4c33f9e2765930 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
5 Ways Professionals Can Propel Their Pottery to New Heights... do you think 'professional' in this topic effectively refers to professional potters?<|im_end... | Yes, I think so. In this context, “professional” most naturally refers to professional potters — people who make pottery as their livelihood or primary craft, rather than hobbyists or casual makers. The phrase “propel their pottery to new heights” suggests a level of skill, ambition, and career trajectory that aligns w... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_wildchat_100k |
openmix-000029 | openmix | train | en | code | public_prompt_mixture | source_000356.txt | 1eb6002595a6fcaabc767a09008684735295672013fa1a2a63661915d6a4ef84 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Accept as an input a sequence of numerical integers, and provide the cumulative total of all those that are classified as odd numbers. Additionally, find all... | Let's analyze the task:
1. Accept a sequence of numerical integers as input.
2. Provide the cumulative total of all numbers classified as odd numbers.
3. Find all duplicate odd numbers in the sequence and subtract the sum of duplicates from the cumulative total.
Example: [1,2,3,4,5,1,3]
- Odd numbers: 1, 3, 5, 1, 3
-... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000030 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001099.txt | 296e8a4a02b6e0a67cb64ba8915ca11deb122475ae5af3954c2a2381a903166d | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Hi, do you think a large language model like you can be integrated into a search engine for free forever and just cover the costs by ads.<|im_end|>
<|im_star... | That’s a reasonable idea in principle, but in practice it’s not as simple as “just cover the costs with ads.” Let me explain what’s involved.
## The basic idea
A search engine needs:
1. **Indexing** – crawling the web, storing documents, building search indexes.
2. **Query processing** – understanding the user’s que... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/oasst1_converted |
openmix-000031 | openmix | train | en | knowledge | public_prompt_mixture | source_000869.txt | 844dfaddd9a9db9448160962171b4de231c8be88a829bd4d0117f6110a26328e | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
You will be shown inclusion or exclusion criteria for a clinical trial. Given these criteria, your task is to extract all unique entities of the following ty... | ```json
{
"Condition": [
"dupuytrens contracture",
"more than tree fingers involvement",
"other things affecting hand function"
],
"Device": [],
"Drug": [
"Tetracycline"
],
"Measurement": [],
"Mood": [],
"Multiplier": [
"more than tree fingers involvement"
],
"Negation": [
"w... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_sciriff_10k |
openmix-000032 | openmix | train | en | knowledge | public_prompt_mixture | source_000627.txt | 261efdcb924712357a4757ec1d949af04a415dbc12c3543377e7bbc12f1f3c6d | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Leo: Premise: "Small child in red jacket and khaki pants at the top of a slide with a fence behind."
Based on this premise, can we conclude that the hypothes... | We need answer user's question. Need analyze. Premise: "Small child in red jacket and khaki pants at the top of a slide with a fence behind." Hypothesis: "Small child at the top of a slide." Need conclude true? Options yes/no/it is not possible to tell.
Need think. Premise says small child in red jacket and khaki pant... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/flan_v2_converted |
openmix-000033 | openmix | train | en | code | public_prompt_mixture | source_000302.txt | 20ab48b60783c7540c8dc7401dd617cd5efd2736a9b363b7a9d9ba7f62cbf518 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
In the following Python code, the objective is to convert the given Python dictionary into a JSON string and save it in a file. However, there are some progr... | The user wants me to fix a Python code that converts a dictionary to JSON and saves it to a file. Let me analyze the code:
1. `import json` - fine
2. `filename = 'user_data.json'` - fine
3. `data = {"name": 'John Doe', "age": 37; "hobby": 'reading'}` - ERROR: semicolon instead of comma between "age": 37 and "hobby": '... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000034 | openmix | train | en | code | public_prompt_mixture | source_000373.txt | 1734b898190d76d3a384f31bb2a933de0652a8011484007e2964fc3fd9d78e1e | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
i want to convert this to c++, can you help?
def is_balanced(s):
stack = []
balanced_brackets = {"(": ")", "[": "]", "{": "}"}
for char in s:
... | The user wants to convert a Python function to C++. Let me analyze the code:
1. `is_balanced(s)` checks if a string of brackets is balanced.
2. It uses a stack to track opening brackets.
3. For each character, if it's an opening bracket, push it onto the stack.
4. If it's a closing bracket, pop from the stack and chec... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000036 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001119.txt | fcc8e2dc7fee55b2b0e8ab080efd2195492ad35965a5a7da4b0e7120b16e9e20 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
A homeowner is expecting a child and plans to fill the nursery with handmade wooden furniture. They have decided to create a crib, a changing table, and a ro... | We need answer math problem. Need solve carefully. Let's parse.
Problem: homeowner expecting child, plans to fill nursery with handmade wooden furniture. Create crib, changing table, rocking chair. Amount of wood required for each piece described by functions where x is number of weeks until child's birth (x=0 birth w... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/personahub_math_v5_regen_149960 |
openmix-000037 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001151.txt | 7696faeaefaa61a6b29058ab8ee7f4fc1f4094eee426b78a178959bb4fc4442e | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Miriam is a talented female Eritrean football player living in Asmara, Eritrea. She practices with her football team 5 days a week. Each practice session las... | We need answer simple arithmetic. Need final with explicit. Let's compute: 5 days *2 hours =10. weekends 2 days *3 hours =6. total 16. Need maybe mention typical week. No missing.
</think>
Miriam spends:
- 5 days × 2 hours = 10 hours
- 2 weekend days × 3 hours = 6 hours
Total: 10 + 6 = **16 hours** | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | allenai/tulu-3-sft-personas-math-grade |
openmix-000038 | openmix | train | en | text_writing | public_prompt_mixture | source_001380.txt | bf938cf222a762fe4a7ca748f82f450d0eadaa8b3aa4062c7331f34b90a19228 | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
I had an intresting idea about a conduction of an experiment with language models, the idea is simple:
1) ask about if they could do something but ask for a ... | We need answer user's question in English. Need think carefully. User asks: interesting idea about conduction of experiment with language models: ask if they could do something but ask for yes/no answer, e.g. could you write a roblox game yes or no? then ask it to make a ROBLOX game, then evaluate using results of both... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/oasst1_converted |
openmix-000039 | openmix | train | en | knowledge | public_prompt_mixture | source_000720.txt | 054aeb38acdc09315779b7cc6e735ebd43b884c13f9ad014ad302a4e86c07331 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Description: Please extend the input table by generating a new additional column and adding it to the right. Present the resulting table with the extra colum... | We need answer user's request. Need produce final with extended table. Need think in English. Need generate new additional column and add to right. What column? Could be "Age" or "Team"? No data. Need maybe "Number" or "ID"? Already #. Could be "Location"? No. Need infer from names? Richie Reid, Alan Cuddihy, Michael D... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000040 | openmix | train | en | text_writing | public_prompt_mixture | source_001169.txt | 49f96ae4927428269762d2f2589fd4b2f027171b92354703f373c64f195f0a29 | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationshi... | The constitution can be written in English. | true | false | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/flan_v2_converted |
openmix-000041 | openmix | train | en | knowledge | public_prompt_mixture | source_000703.txt | 5281d46905ae45db9d67c5a725086fc5d69bf1cdb28e600383710b431f260f10 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Description: Please select the row or rows where column "No. in season" has the value "4a" in the table. Share the updated table containing only the selected... | We need answer user's request. Need produce final only. Need parse. User asks: Description: Please select the row or rows where column "No. in season" has value "4a" in table. Share updated table containing only selected rows. Then three Q/A pairs. Need likely answer for third Q only? The prompt ends with [A]: and blan... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000042 | openmix | train | en | code | public_prompt_mixture | source_000416.txt | 25f35795dd1c18a3ce9cc5514f56ade4581f60946c9882744ecbaa248981d152 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
This is for a brand new Macbook setup for `MacOs Ventura 13.1`.
After installing Anaconda, when I launch terminal, I see base environment activated.
I am abl... | We need answer user's question in English. Need think carefully. User: brand new MacBook setup for macOS Ventura 13.1. After installing Anaconda, when launch terminal, see base environment activated. Can deactivate by running conda deactivate. But earlier behavior never happened i.e. base environment on launch. Also wh... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000043 | openmix | train | en | text_writing | public_prompt_mixture | source_001451.txt | d5ce9e6751e7ab2f6e430df0e8d4023b8bf4831c39815d4f7012fc3ffcaac8bf | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
You will be provided with the titles and abstracts of a collection of medical RCT reports studying a clinical question -- for instance, the efficacy of an in... | The single RCT on pyelonephritis in pregnancy found that suppressive nitrofurantoin therapy did not significantly reduce recurrence rates compared with close clinical surveillance (7% vs. 8%), casting doubt on the routine need for suppressive treatment. However, the study also indicated that even low-level gram-negativ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_sciriff_10k |
openmix-000044 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001136.txt | 84ea9a95c0ff51a02bac0ddfcc267bd5f1f8c4f58769fd040e0a807f291febec | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
A renowned sociologist is investigating the impact of structural inequality on educational outcomes across different regions. They hypothesize that the level... | We need answer math problem. Need solve carefully. Let's parse.
Problem:
1. I(x,y)= e^{-(x^2+y^2)} (x^2+y^2+2xy). Find total 'inequality impact' over circular region centered origin radius a. Express as integral and evaluate in terms of a.
2. Assume correlation between inequality and educational outcomes E(x,y) modele... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/personahub_math_v5_regen_149960 |
openmix-000046 | openmix | train | en | code | public_prompt_mixture | source_000361.txt | 27fe14c1a27360398cf8022eca0439d34585aaea267c73b0e91a8f3834d73d6b | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
In addition to elaborating on why JavaScript is acknowledged as a multi-paradigm programming language, encompassing aspects of procedural, object-oriented, a... | We need answer user's request in English. Need provide detailed explanation. Need think in English. Need cover: why JS multi-paradigm, pros/cons of procedural, OOP, functional, tangible examples with detailed explanation, how engine processes/interprets, impact on performance/scalability. Need be accurate. No invented ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000047 | openmix | train | en | code | public_prompt_mixture | source_000421.txt | a61371b9ea51bce40493c7f31af912ae72a814df16fbde81f7327e9b9b23f8f5 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Dilemma:
In the Python programming language, is there a specific package that can perform data transformations such as scaling and centering to rectify data... | In Python, the most common way to scale and center data (e.g., Box-Cox transformation, centering, scaling) is to use `sklearn.preprocessing`. The key function is `StandardScaler` for centering and scaling, or `PowerTransformer`/`BoxCoxTransformer` for power transformations.
Here’s how you can do it:
```python
import ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000048 | openmix | train | en | text_writing | public_prompt_mixture | source_001396.txt | 459276d56c18199a2be1358988908d3b2f8b1ee103d4594882de3d29d5bda945 | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Can you help me write a love letter to my wife? But ask me questions that will make the letter so personalized she’ll know only I cloud wrote it. I want it t... | Absolutely — I can help you write a deeply personal, romantic, and charming love letter to your wife. The key is to make it feel like it could only come from you, with details that reflect your relationship.
Let me ask you a few questions to shape it:
1. **What is your wife’s name?**
2. **How long have you been toget... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/oasst1_converted |
openmix-000049 | openmix | train | en | knowledge | public_prompt_mixture | source_000704.txt | d907c6dc67bc48dbacbe88e83ea1e1422e73a1e2799828ba430ef86b43e1a49c | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Objective: Could you choose column "Finalist" in the table? After the selection, kindly return the table.
Q:
|Finalist|Gender|Audition City in South India|
... | The user wants me to select the "Finalist" column from the table and return the table. Let me look at the table:
|Finalist|Gender|Audition City in South India|
|---|---|---|
|Shrinidhi|Female|Hyderabad, Andhra Pradesh|
|Lekshmi Jayan|Female|Cochin, Kerala|
|Somadas|Male|Cochin, Kerala|
|Prathipaa|Female|Cochin, Kerala... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000050 | openmix | train | en | knowledge | public_prompt_mixture | source_000602.txt | e352799964a7844d64b643801d006ccccb7fe06609cb247e8a0ab96845351d79 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Leo: Premise: "Two dark-haired girls are on a tire swing."
Hypothesis: "Two girls are outside playing."
Is the hypothesis entailed by the premise?
Options:
-... | Let's analyze the premise and hypothesis carefully.
Premise: "Two dark-haired girls are on a tire swing."
Hypothesis: "Two girls are outside playing."
We need to determine whether the hypothesis is entailed by the premise.
- The premise says two girls are on a tire swing.
- A tire swing is typically an outdoor obje... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/flan_v2_converted |
openmix-000052 | openmix | train | en | math_reasoning | public_prompt_mixture | source_000897.txt | 592c6773156920107bbc16f103eb3adeca56df09745b9c34e224af5b4bbb0c21 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
A three-digit number ends with the digit 2. If this digit is moved to the beginning of the number, the resulting number will be 18 greater than the original ... | We need answer math problem. Need solve. Let's analyze carefully.
Problem: A three-digit number ends with digit 2. If this digit is moved to beginning of number, resulting number will be 18 greater than original number. Find original number.
Let original number three digits: hundreds a, tens b, ones 2. Number N = 100... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/numinamath_tir_math_decontaminated |
openmix-000053 | openmix | train | en | code | public_prompt_mixture | source_000329.txt | 57f095b8da9b9e51fffca5e117144cdb8fecbcbd76ee845a75a8562fa4e8f2f1 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Construct a Python dictionary containing details of multiple employees, each with their name, role, monthly salary and the date of employment. Include a meth... | We need answer user's request. Need produce final with Python dictionary and method. Need be careful: "Construct a Python dictionary containing details of multiple employees, each with their name, role, monthly salary and the date of employment. Include a method to calculate their total earned salary to date." Need lik... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000054 | openmix | train | en | knowledge | public_prompt_mixture | source_000651.txt | 52e4f280cd7e32d2ef0007102d809bcbbc7e008eeadf50f4103d6f564fe08824 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Could you explain the cultural significance of the Esala Perahera festival in Kandy?<|im_end|>
<|im_start|>assistant
<think>
| We need answer user's request: "Could you explain the cultural significance of the Esala Perahera festival in Kandy?" Need provide explanation. Need think in English. Need likely explain Esala Perahera (Esala Perahera) in Kandy, Sri Lanka. Cultural significance: Buddhist festival honoring Esala, the first Buddhist monk... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_aya_100k |
openmix-000056 | openmix | train | en | code | public_prompt_mixture | source_000396.txt | 01e0ddf1b057f967501fd37221993954c122893df196a7291038018717f5172f | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Develop a list comprehension iteration in Python that effectively replicates the outcome of below depicted double nested loop structure. In this, two lists, ... | We need answer user's request. Need produce final. Need develop list comprehension iteration in Python that replicates double nested loop. Need likely show code: result = [(i, j) for i in a for j in b]. Need maybe mention if order? The loop appends (i,j) for each i then j, so list comprehension same order. Need maybe s... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000057 | openmix | train | en | knowledge | public_prompt_mixture | source_000760.txt | 3c9558b1b851b469f52c12db6319d085e8fb35ec7aadae6081784fe1a355f484 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
reword this for cover letter: I am greatly impressed by notable projects such as the Morrison Dam Spillway Upgrades and the design of a replacement riparian ... | We need answer user's request: reword for cover letter. Need produce final with reworded sentences, maybe options. Need be helpful. Need think in English. Need maybe mention not invent facts. User wants reword this for cover letter: "I am greatly impressed by notable projects such as the Morrison Dam Spillway Upgrades ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_wildchat_100k |
openmix-000058 | openmix | train | en | knowledge | public_prompt_mixture | source_000848.txt | 6a221279638957d1a43d1cd51bddda590a4fb227dbf6ed0b4b79dd637118083e | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Conduct a competitive analysis of our containerization solution by comparing it to three major competitors in the industry. Please include the following sect... | We need answer user's request. Need produce final only. Need analyze in English, lowercase, no more than 500 words. Need conduct competitive analysis of containerization solution comparing to three major competitors. Need include sections: feature comparison, pricing strategy, market positioning. Ensure entire document... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/personahub_ifdata_manual_seed_v3_29980 |
openmix-000059 | openmix | train | en | knowledge | public_prompt_mixture | source_000712.txt | c75ffe0d0fd1154e1dc53a44ec425981542ea2a8bf994fc944ef7fa6d63260fa | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Objective: Discover the columns in Table B that match with those in Table A. For each column in Table A, specify the corresponding column in Table B. If a co... | Let's analyze the columns in Table A and Table B to find the matching pairs.
Table A columns:
- W/L
- Partner
- Location
- Date
- Score
- Surface
- Against
- Stage
Table B columns:
- Result
- Court Type
- Venue
- Opponent
- Outcome
- Doubles Partner
- Occurrence
- Event
Now, let's match each column from Table A to T... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000060 | openmix | train | en | code | public_prompt_mixture | source_000366.txt | c8f6147b239423f5376e3f227f698c85df21b9c005e9a69e33962da7e0907f0c | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Implement the KMeans clustering algorithm on the digits dataset from scikit-learn. Then, execute a multi-step reasoning process that entails data pre-process... | Let's implement KMeans clustering on the digits dataset from scikit-learn. We'll go through the steps: data pre-processing, model training, predictions generation, and centroids calculation. Then we'll visualize the clustering outcome.
```python
import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000061 | openmix | train | en | knowledge | public_prompt_mixture | source_000834.txt | 3001ce815950d8f97da0e364c672abb26342a2b2c509b6c25bf56a0bebc2ed51 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Do you have any recommendations for food or drink that are both healthy, tasty and also contain a considerable amount of protein since I am looking to go to ... | Absolutely — here are some healthy, tasty, protein-rich breakfast ideas, plus snacks and other meal ideas for the gym.
## Breakfast Ideas
### 1. Greek Yogurt with Fruit and Nuts
- **Why it’s good:** High protein, probiotics, healthy fats, and natural sweetness.
- **What to use:**
- Greek yogurt (plain or low-fat)
... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/oasst1_converted |
openmix-000063 | openmix | train | en | text_writing | public_prompt_mixture | source_001447.txt | d509e8df66da40ae8b5b35c14e8812dad7094f3ed40b8861026ffcb5c2905390 | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
You will be shown a claim about public health, and the abstract of a biomedical research paper. Each sentence from the abstract will be on a separate line. Y... | The user wants me to evaluate a claim about vitamin D3 and COVID-19 based on an abstract. Let me analyze the abstract carefully.
The abstract states:
1. COVID-19 severity involves inflammation (pneumonia, ARDS, myocarditis, microvascular thrombosis, cytokine storms)
2. T regulatory lymphocytes (Tregs) are a principal ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_sciriff_10k |
openmix-000064 | openmix | train | en | math_reasoning | public_prompt_mixture | source_000930.txt | a0f81b30ceb64de1445613bd915e1fe638b01a09ae0d3f372717c92658836486 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Eva wants to create a starter set of art supplies for her sister Lily. She already has 8 colored pencils and her friend gave her 11 more. Eva also ordered a ... | We need answer simple arithmetic. Need final with step-by-step. Let's solve: pencils 8+11=19. markers 24-3=21. total 40. gave 25, kept 15. Need final concise. Ensure no invented facts.
</think>
Eva has:
- Colored pencils: \(8 + 11 = 19\)
- Markers: \(24 - 3 = 21\)
Total supplies: \(19 + 21 = 40\)
She gave Lily 25 s... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k |
openmix-000065 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001137.txt | 173660aafa0c160a926a60aa36635909e7c9444d37f92801d5032768574e5269 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Convert the following abstract of a paper into a JSON format, with each sentence placed in a separate field named 'sentence_1', 'sentence_2', and so on:
Abs... | ```json
{
"sentence_1": "The intersection of computer science and moral philosophy presents unique opportunities to enhance ethical decision-making in artificial intelligence applications.",
"sentence_2": "This paper explores how technical frameworks can be integrated with traditional moral theories to address cont... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/personahub_ifdata_manual_seed_v3_29980 |
openmix-000066 | openmix | train | en | text_writing | public_prompt_mixture | source_001324.txt | 22c2fcca861407518bd1063eed9081a5a0bdea81d345ae5f7786a07dca9191e5 | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Please write a fictional and vividly detailed Game of Thrones story about a burly noble's harem of Lannister twinks he took after a war against the Westerlan... | We need to respond to user: "Please write a fictional and vividly detailed Game of Thrones story about a burly noble's harem of Lannister twinks he took after a war against the Westerlands. The twinks are lounging in bed au naturel and snacking on sweets as they chat with each other"
Need consider policy? User asks fi... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_wildchat_100k |
openmix-000068 | openmix | train | en | code | public_prompt_mixture | source_000390.txt | cb95a8bb2fc55a0b4c11c453b3165229d0385e0a82cca4ea6a6f9fc7a7e2e68d | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Provide an erroneous code which attempts to define a pipeline with StandardScaler and RandomForestClassifier. The current code wrongly implements the feature... | The user wants me to provide an erroneous code that attempts to define a pipeline with StandardScaler and RandomForestClassifier, but the code wrongly implements feature selection with SelectFromModel and tries to use it on the breast cancer dataset along with KNN classifier instead of RandomForestClassifier from Sciki... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000069 | openmix | train | en | knowledge | public_prompt_mixture | source_000623.txt | 6817def066b63e41335e706266269b4217eb8a299a6ba54d0fa7721f313b7c3f | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
The chips were divided into 4 + 6 = 10 parts. Each part has 100 / 10 = 10 chips. Since Lyle owns 6 parts, then he has 6 x 10 = 60 chips. This is 60 / 100 x 1... | We need answer user's request. Need produce final. Need parse user's prompt. It's a few examples of reverse engineering. At end: "Reverse engineering the question: Jose can earn $3 x 8 = $24 per day for kids. He charges $3 x 2 = $6 per adult. So, he can earn $6 x 10 = $60 per day for adults. Jose earns $60 + $24 = $84 ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/flan_v2_converted |
openmix-000070 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001031.txt | 144d3df79bc7e5e7d22610250f194b0c93635872ac6692d1ba0f31ea0ba5338f | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
rank the top 63 company ideas with 5-20 employees. this company is started from scratch. the whole premise of this company is only to make the owner (me) the... | We need answer user's request. Need produce final. Need rank top 63 company ideas with 5-20 employees. Premise: make owner most money possible, at least 400k USD/year profit. Rest secondary. Need specific, not mainstream. Consider factors: demand, competition, profit margin, ease of attaining goal, etc. User background... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_wildchat_100k |
openmix-000071 | openmix | train | en | knowledge | public_prompt_mixture | source_000683.txt | 8cb4e9b73480a2ba3a060fcec5d9d1a8ccabc394f097d9c694c6d0110aa681da | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Question: Which of the following is not a natural resource?
a. Soil
b. Water
c. Electricity
d. Air
Answer:<|im_end|>
<|im_start|>assistant
<think>
</think... | The correct answer is **c. Electricity**.
**Explanation:**
- **Soil**, **water**, and **air** are natural resources found in nature.
- **Electricity** is a form of energy produced by converting other natural resources (such as coal, oil, gas, wind, or sunlight) into electrical power. It is not a natural resource itsel... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_aya_100k |
openmix-000072 | openmix | train | en | math_reasoning | public_prompt_mixture | source_000938.txt | 2bc5869812458ad2bd6264a3d59b6082897568b994eac14001c88ac1ef3506b3 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Ethan's daily reading goal is 45 pages. On Wednesday, he read only 20 pages, so he planned to catch up on Thursday. However, he managed to read only 28 pages... | Ethan's daily reading goal is 45 pages.
- Wednesday: 20 pages
- Thursday: 28 pages
Total pages read so far: 20 + 28 = 48 pages.
He needs to meet his minimum goal of 45 pages per day over 3 days: 45 × 3 = 135 pages.
Pages needed on Friday: 135 − 48 = 87 pages.
**Answer: Ethan will need to read 87 pages on Friday.** | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k |
openmix-000073 | openmix | train | en | knowledge | public_prompt_mixture | source_000614.txt | ec851c5fc95427eb0e12080c4e45d41949510e97e4b5dda155acc5e9cd9e1f2a | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Problem:The American Paint Horse is a breed of horse that combines both the conformational characteristics of a western stock horse with a pinto spotting pat... | The spleen acts primarily as a blood filter. | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/flan_v2_converted |
openmix-000074 | openmix | train | en | knowledge | public_prompt_mixture | source_000718.txt | 447d0339a96e812a9bbec3576a878a9eb127d94a04686be2e2f095408748ff18 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
# Task Description: Could you arrange the table by sorting it using column headers in alphabetical ascending order from left to right? Afterward, share the t... | We need answer user's request. Need produce final with sorted table. Need think: sort by column headers alphabetical ascending left to right. Headers: Years, Voters, For, Against, Abstain, Percentage. Alphabetical by first letter: Against, Abstain, For, Percentage, Voters, Years. Need sort rows by each column in that o... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000075 | openmix | train | en | code | public_prompt_mixture | source_000322.txt | d051a730f35ef96bb05431fa019bda20b58fd7264e388e49bc4f7065857920a5 | code/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Increase the complexity of the existing programming test question:
Consider the erroneous code snippet below, and complete the correct code provided.
Erron... | Let me analyze the code carefully.
The function `account_activities` takes:
- `operations`: a list of lists of integers (deposits/withdrawals per account)
- `fees`: a list of lists of floats (fees per operation per account)
For each account, it should:
1. Start with balance = 0
2. For each operation and fee pair, app... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/evol_codealpaca_heval_decontaminated |
openmix-000076 | openmix | train | en | knowledge | public_prompt_mixture | source_000839.txt | 56503ce51ae13b477cad6e7af0692c7c2d0b9bfd92d9bbd7cc1ec111abd91b7f | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Create a detailed plan for building a rustic bar using reclaimed wood. The plan should be divided into 3 sections, each marked with Section N. Each section m... | # Plan for Building a Rustic Bar Using Reclaimed Wood
## Section 1: Sourcing the Reclaimed Wood
Reclaimed wood is the foundation of a rustic bar's character, and sourcing it carefully is essential to achieving an authentic, weathered look. The first step is to identify reliable suppliers of reclaimed wood, such as ol... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/personahub_ifdata_manual_seed_v3_29980 |
openmix-000077 | openmix | train | en | text_writing | public_prompt_mixture | source_001242.txt | b83f2d1c5331ee322cbdbd2e2085d125c2fa3b6d4a61e95d16f4a8dcc0e61ccc | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
# Task Description: Take a moment to look at the table and summarize its key points. Return the final result as JSON in the format {"summary": "<summary of t... | The table shows 2016 U.S. presidential election results for four states: Hawaii, Texas, and Washington. In Hawaii, Clinton/Kaine won the popular vote with Bernie Sanders (I-VT) as the runner-up, and the elector was David Mulinix. In Texas, Trump/Pence won the popular vote with John Kasich (R-OH) as the runner-up, and t... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000078 | openmix | train | en | knowledge | public_prompt_mixture | source_000689.txt | ea9f6e41e854563233213d9022ef8cd76eeb925a22fa572ec0f6079978517547 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
How do Sri Lanka's traditional "Biso Kotuwa" or moonstone carvings positively contribute to architectural aesthetics in ancient temples, and what rare symbol... | We need answer user's question in English. Need think carefully. User asks: "How do Sri Lanka's traditional "Biso Kotuwa" or moonstone carvings positively contribute to architectural aesthetics in ancient temples, and what rare symbols and artistic details distinguish them in the context of sacred spaces?"
Need provid... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_aya_100k |
openmix-000079 | openmix | train | en | text_writing | public_prompt_mixture | source_001241.txt | 5daf97f64a19717090ac0a5223a14e5dec5bf9dadf9129886bca5d8be1416971 | text_writing/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Description: Add a newly generated column to the input table, positioning it on the right side. Display the updated table with the appended column.
Question... | The task is to add a newly generated column to the input table, position it on the right side, and display the updated table with the appended column.
Looking at the data, I notice that the last row for Nov 6, 2007 has a candidate name "Kenneth Cooper Alexander" instead of "K C Alexander". This appears to be an incons... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000081 | openmix | train | en | math_reasoning | public_prompt_mixture | source_000878.txt | b1462dee6da0937a7c30329f2944da0a1b39828d0bfaf552ef63ad508d0f3c9c | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
QUESTION: Can we conclude from "A race car screeches through a turn as spectators watch." that "The people are watching a movie."?
Options:
- yes
- no
- it i... | We need answer user's final question. Need solve slowly. Need think about natural language inference. Premise: "A dog lies on its back on a dog bed." Hypothesis: "The dog was tired after playing catch all day." Is it entailed? Options yes/no/it is not possible to tell. Need reason. The premise only says dog lies on bac... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/flan_v2_converted |
openmix-000082 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001135.txt | 4b5d0387719e4838a55413f5f364bffc02b83a91216529a4ad919a9c8b765c52 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Help me draft a policy recommendation for project_03 government on integrating marijuana programs to support marginalized communities:
1. Your response shou... | project_03 governments should integrate marijuana programs into broader public health and social equity frameworks, prioritizing marginalized communities. First, establish a dedicated fund to support low-income residents through subsidized medical marijuana, transportation, and counseling services. This ensures access ... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/personahub_ifdata_manual_seed_v3_29980 |
openmix-000083 | openmix | train | en | knowledge | public_prompt_mixture | source_000710.txt | 0e3ee25ef6f28fff9ab3c2d305a8246dc1f92eab1c37089bfd4b090d81834fa4 | knowledge/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
Instruction: Identify the corresponding columns in Table B that correspond to those in Table A. For each column in Table A, define the associated column in T... | Let's analyze the columns in Table A and Table B to find the corresponding ones.
Table A columns:
1. Conditional(3)
2. Indicative mood(Present)
3. number
4. Indicative mood(Imperfect)
5. Indicative mood(Future(2))
6. person
7. Indicative mood(Pluperfect(1))
8. Indicative mood(Preterite)
Table B columns:
1. Past Tense... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/tulu_v3.9_table_gpt_5k |
openmix-000084 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001127.txt | 9c37323f90b10f93c6cc49c9c82186c5be3fb942c480e043ae850ac8b71ab40e | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
A biomedical scientist is developing a mathematical model to study the long-term effects of a specific medical procedure on patients. The model considers bot... | We are given the first-order linear differential equation
\[
\frac{dH}{dt} = -aH(t) + b(t)
\]
with
\[
b(t) = c \sin(\omega t).
\]
So the equation becomes
\[
\frac{dH}{dt} + aH(t) = c \sin(\omega t).
\]
---
## 1. General solution
This is a linear first-order ODE. The integrating factor is
\[
e^{at}.
\]
Multipl... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | ai2-adapt-dev/personahub_math_v5_regen_149960 |
openmix-000085 | openmix | train | en | math_reasoning | public_prompt_mixture | source_001138.txt | b8c5ad725d1a7fb9423bbd7b26761073c6dcae6f75a25f5d65b046479b520724 | math_reasoning/en | <|im_start|>system
You are a helpful assistant. Think and answer in English. State missing information explicitly; do not invent facts.<|im_end|>
<|im_start|>user
A college student discovered a new band through a blogger's recommendation and quickly became an avid listener. The band has released 3 albums, each containi... | We need answer simple math. Need final with step-by-step. Compute total 3*12=36. Mon-Fri 5 days *4=20. Remaining 16 for Sat+Sun. Need maybe if "by end of week" includes Sat and Sun. Answer 16. Ensure no invent.
</think>
The band has released 3 albums with 12 songs each, so the total number of songs is:
\[
3 \times 12... | true | true | tulu_public_prompt | allenai/tulu-3-sft-mixture | b14afda60f1bbebe55d5d2fa1e4df5042f97f8be | allenai/tulu-3-sft-personas-math-grade |
End of preview. Expand in Data Studio
Built for DFlash experiments. A lightweight collection of prompts and model-generated response traces for training and iterating on draft models.
Project code, programming, math, knowledge and writing — a compact mix for your next training run.
Repository branches
| Branch | Contents |
|---|---|
main |
Latest complete release: JSONL data, Dataset Viewer splits, manifest, processing report and changelog. |
v1.0.0 |
Archived v1.0.0 release snapshot. |
The complete dataset is available from the default main branch and in the Dataset Viewer. Version branches preserve release snapshots; use revision="v1.0.0" for the archived release.
The mix
| File | Focus | Train | Validation |
|---|---|---|---|
| pilot.jsonl | A small starting batch | 8 | 4 |
| project.jsonl | Source-code understanding | 512 | 64 |
| openmix.jsonl | Mixed tasks + project replay | 1,280 | 128 |
| Total | 1,800 | 196 |
Each record pairs a prompt with a generated completion, alongside split, task and source metadata.
Load the dataset
from datasets import load_dataset
openmix = load_dataset("biscet/DFlash-TraceMix-Lite", "openmix")
project = load_dataset("biscet/DFlash-TraceMix-Lite", "project")
pilot = load_dataset("biscet/DFlash-TraceMix-Lite", "pilot")
Each configuration exposes train and validation splits. Viewer files in
data/ contain the same records partitioned by their original split field;
the original pilot.jsonl, project.jsonl and openmix.jsonl files are retained.
These exports are additional views, not additional independent training examples.
Before your training run
- Target model: existing traces come from Whittle Q5. For another DFlash target, adapt the chat template, regenerate responses and prepare tokenization and target features for your pipeline. Original token IDs and hidden features are not included. See the training guidance.
- Splits and replay:
evaldenotes validation. OpenMix reuses 256 Project Code training records; they are not additional unique examples. Four short OpenMix training traces haveeligible_for_original_loader: false. - Publication copy: text was anonymized after training; the original weights were not retrained or unlearned. The edited traces are not verified reference answers, and complete removal of identifying details is not guaranteed. See the processing report.
Attribution & terms
Release license: Apache-2.0. Original contributions and release packaging are provided under this license. Third-party source terms remain applicable; attribution is recorded in source_dataset, source_subset and source_revision.
Project Code was authored and curated by Egor Prokhorov.
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Models trained or fine-tuned on biscet/DFlash-TraceMix-Lite