Upload OpenReasoning mixed 100K dataset

Prompt-only 1:1:1 mixture of OpenMathReasoning, OpenScienceReasoning-2, and OpenCodeReasoning with provenance manifest and dataset card.

README.md

@@ -0,0 +1,105 @@
+---
+pretty_name: OpenReasoning Mixed 100K
+language:
+- en
+task_categories:
+- text-generation
+tags:
+- reasoning
+- math
+- code
+- science
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train.parquet
+---
+
+# OpenReasoning Mixed 100K
+
+This dataset is a 100,000-row prompt-only mixture prepared for reproducing the
+Qwen3-1.7B on-policy distillation experiments described in
+[arXiv:2607.15161](https://arxiv.org/abs/2607.15161).
+
+This is an independent reproduction artifact, not an official dataset release
+from the paper authors.
+
+## Composition
+
+| Domain | Rows | Upstream dataset | Config / split |
+|---|---:|---|---|
+| Math | 33,334 | `nvidia/OpenMathReasoning` | `default / cot` |
+| Science | 33,333 | `nvidia/OpenScienceReasoning-2` | `default / train` |
+| Code | 33,333 | `nvidia/OpenCodeReasoning` | `split_0 / split_0` |
+
+Only question text and provenance metadata are retained. Upstream answers and
+reasoning traces are not included.
+
+## Fields
+
+- `messages`: one-message chat record containing the user question
+- `domain`: `math`, `science`, or `code`
+- `source_dataset`: upstream Hugging Face dataset ID
+- `source_config`: upstream dataset config
+- `source_split`: upstream split
+- `source_shard`: sampled upstream Parquet shard index
+- `source_id`: stable source-row/problem identifier used by the builder
+- `prompt_sha256`: SHA-256 of the prompt text
+
+## Construction
+
+- Seed: `42`
+- Sampling: balanced allocation over randomly ordered Parquet shards, followed
+  by random row-group and row selection within each shard
+- Maximum selected source shards per domain: `12`
+- Quality filtering: none
+- Length filtering: none
+- Prompt deduplication: none
+- Answers and reasoning traces retained: no
+
+The exact construction manifest is included as `manifest.json`.
+
+## Duplicate prompts
+
+The dataset contains 74,644 unique prompt hashes and 25,356 duplicate prompt
+rows. Most duplicates come from upstream reasoning datasets containing multiple
+solution traces for the same underlying question. They are intentionally
+preserved to match the row-sampling interpretation used by this reproduction.
+
+In particular, the code portion contains 33,333 rows but 10,538 unique prompts.
+Users who require unique problems should deduplicate using `prompt_sha256`.
+
+## Upstream revisions
+
+- `nvidia/OpenMathReasoning`:
+  `d3d08664755704f422af97d43a7ff0ded4bd95df`
+- `nvidia/OpenScienceReasoning-2`:
+  `174b02c9cdf231f220765b2a1d5ece4550921894`
+- `nvidia/OpenCodeReasoning`:
+  `20a1ca19c0d050fe9057fc08339d6b370ec1c67a`
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("YangyiH/openreasoning_mixed_100k", split="train")
+```
+
+## Licensing and attribution
+
+This repository redistributes prompt text derived from the three upstream
+NVIDIA datasets listed above. Review and comply with each upstream dataset card,
+license, terms, and source attribution requirements before use or
+redistribution. No single new license is asserted here over upstream content.
+
+## Limitations
+
+- The paper authors have not released the exact data-mixing implementation.
+- The mixture preserves duplicate prompts and should not be interpreted as
+  100,000 unique questions.
+- No additional quality, difficulty, contamination, or prompt-length filtering
+  was applied.
+- The mixture has not been audited for all possible benchmark overlap or
+  sensitive content inherited from upstream sources.

manifest.json

@@ -0,0 +1,118 @@
+{
+  "format_version": 1,
+  "paper": "arXiv:2607.15161",
+  "seed": 42,
+  "endpoint": "https://hf-mirror.com",
+  "total_rows": 100000,
+  "domain_counts": {
+    "code": 33333,
+    "math": 33334,
+    "science": 33333
+  },
+  "unique_prompt_hashes": 74644,
+  "duplicate_prompt_rows": 25356,
+  "sampling": {
+    "method": "balanced allocation over randomly ordered Parquet shards, then random row groups and rows within each shard",
+    "max_source_shards": 12,
+    "all_source_shards": false,
+    "deduplicate_prompts": false,
+    "quality_filter": null,
+    "length_filter": null,
+    "answers_and_traces_retained": false
+  },
+  "sources": [
+    {
+      "domain": "math",
+      "dataset": "nvidia/OpenMathReasoning",
+      "config": "default",
+      "split": "cot",
+      "prompt_field": "problem",
+      "id_field": null,
+      "source_revision": "d3d08664755704f422af97d43a7ff0ded4bd95df",
+      "available_parquet_shards": 144,
+      "selected_parquet_shards": [
+        28,
+        6,
+        70,
+        62,
+        57,
+        35,
+        26,
+        139,
+        22,
+        108,
+        8,
+        7
+      ],
+      "selected_rows": 33334,
+      "unique_source_ids": 30773,
+      "duplicate_source_id_rows": 2561,
+      "unique_prompt_hashes": 30773,
+      "duplicate_prompt_rows": 2561,
+      "prompt_characters": {
+        "min": 18,
+        "median": 168.0,
+        "mean": 196.38285234295313,
+        "max": 1594
+      }
+    },
+    {
+      "domain": "science",
+      "dataset": "nvidia/OpenScienceReasoning-2",
+      "config": "default",
+      "split": "train",
+      "prompt_field": "input",
+      "id_field": null,
+      "source_revision": "174b02c9cdf231f220765b2a1d5ece4550921894",
+      "available_parquet_shards": 3,
+      "selected_parquet_shards": [
+        0,
+        1,
+        2
+      ],
+      "selected_rows": 33333,
+      "unique_source_ids": 33333,
+      "duplicate_source_id_rows": 0,
+      "unique_prompt_hashes": 33333,
+      "duplicate_prompt_rows": 0,
+      "prompt_characters": {
+        "min": 193,
+        "median": 1107,
+        "mean": 1154.49920499205,
+        "max": 5179
+      }
+    },
+    {
+      "domain": "code",
+      "dataset": "nvidia/OpenCodeReasoning",
+      "config": "split_0",
+      "split": "split_0",
+      "prompt_field": "input",
+      "id_field": "id",
+      "source_revision": "20a1ca19c0d050fe9057fc08339d6b370ec1c67a",
+      "available_parquet_shards": 9,
+      "selected_parquet_shards": [
+        6,
+        1,
+        7,
+        3,
+        8,
+        2,
+        0,
+        5,
+        4
+      ],
+      "selected_rows": 33333,
+      "unique_source_ids": 10538,
+      "duplicate_source_id_rows": 22795,
+      "unique_prompt_hashes": 10538,
+      "duplicate_prompt_rows": 22795,
+      "prompt_characters": {
+        "min": 28,
+        "median": 1538,
+        "mean": 1665.6388263882639,
+        "max": 12973
+      }
+    }
+  ]
+}

train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d25881bd6c80e85c7c29fd59f73e074c4d8960b6c9b2eaf110757e52d9e8c3b3
+size 46495188