Duplicate from nvidia/OpenMathReasoning

Co-authored-by: Igor Gitman <[email protected]>

.gitattributes

@@ -0,0 +1,109 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+cot/cot-split01.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split02.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split03.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split04.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split05.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split06.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split07.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split08.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split09.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split10.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split11.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split12.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split13.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split14.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split15.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split16.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split17.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split18.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split19.jsonl filter=lfs diff=lfs merge=lfs -text
+cot/cot-split20.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split01.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split02.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split03.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split04.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split05.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split06.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split07.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split08.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split09.jsonl filter=lfs diff=lfs merge=lfs -text
+genselect/genselect-split10.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split01.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split02.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split03.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split04.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split05.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split06.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split07.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split08.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split09.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split10.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split11.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split12.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split13.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split14.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split15.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split16.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split17.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split18.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split19.jsonl filter=lfs diff=lfs merge=lfs -text
+tir/tir-split20.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,177 @@
+---
+language:
+- en
+license: cc-by-4.0
+size_categories:
+- 1M<n<10M
+task_categories:
+- question-answering
+- text-generation
+pretty_name: OpenMathReasoning
+tags:
+- math
+- nvidia
+configs:
+- config_name: default
+  data_files:
+  - split: cot
+    path: data/cot-*
+  - split: tir
+    path: data/tir-*
+  - split: genselect
+    path: data/genselect-*
+dataset_info:
+  features:
+  - name: expected_answer
+    dtype: string
+  - name: problem_type
+    dtype: string
+  - name: problem_source
+    dtype: string
+  - name: generation_model
+    dtype: string
+  - name: pass_rate_72b_tir
+    dtype: string
+  - name: problem
+    dtype: string
+  - name: generated_solution
+    dtype: string
+  - name: inference_mode
+    dtype: string
+  splits:
+  - name: cot
+    num_bytes: 71638774515
+    num_examples: 3201061
+  - name: tir
+    num_bytes: 35467270369
+    num_examples: 1703010
+  - name: genselect
+    num_bytes: 6981053721
+    num_examples: 565620
+  download_size: 49370957110
+  dataset_size: 114087098605
+---
+
+
+# OpenMathReasoning
+
+OpenMathReasoning is a large-scale math reasoning dataset for training large language models (LLMs). 
+This dataset contains 
+
+* 540K unique mathematical problems sourced from [AoPS forums](https://artofproblemsolving.com/community), 
+* 3.2M long chain-of-thought (CoT) solutions
+* 1.7M long tool-integrated reasoning (TIR) solutions
+* 566K samples that select the most promising solution out of many candidates (GenSelect)
+
+We used [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) to preprocess problems, and 
+[DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1) and [QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) to generate solutions. 
+
+This dataset was a foundation of our winning submission to the 
+[AIMO-2 Kaggle competition](https://www.kaggle.com/competitions/ai-mathematical-olympiad-progress-prize-2/leaderboard).
+
+See our [paper](https://arxiv.org/abs/2504.16891) to learn more details!
+
+**_NOTE:_** An early version of this data was released separately in [Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset).
+
+## Dataset fields
+
+OpenMathReasoning dataset contains the following fields:
+
+- **problem**: Problem statement extracted from [AoPS forums](https://artofproblemsolving.com/community) and refined with [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct)
+- **generated_solution**: Synthetically generated solution using either [DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1) or [QwQ-32B](https://huggingface.co/Qwen/QwQ-32B)
+- **generation_model**: DeepSeek-R1 or QwQ-32B
+- **problem_type**: Can be one of "has_answer_extracted", "no_answer_extracted" and "converted_proof" dependening on whether we were able to extract the answer or if this is a proof question converted to answer question.
+- **expected_answer**: Extracted answer if "problem_type" is "has_answer_extracted". Otherwise this is the majority-voting answer across all generated solutions for this problem.
+- **problem_source**: States the corresponding AoPS forum (e.g. "aops_c6_high_school_olympiads") or "MATH_training_set" as we also include a small set of generations from [MATH](https://github.com/hendrycks/math).
+- **inference_mode**: "cot", "tir" or "genselect"
+- **pass_rate_72b_tir**: Pass rate out of 32 generations for [Qwen2.5-Math-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct) run in TIR mode. This attribute is only available when "problem_type" is "has_answer_extracted" and is set to "n/a" for other cases. 
+
+
+## OpenMath-Nemotron models
+
+To demonstrate the quality of this dataset, we release a series of OpenMath-Nemotron models trained on this data.
+
+* [OpenMath-Nemotron-1.5B](https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B)
+* [OpenMath-Nemotron-7B](https://huggingface.co/nvidia/OpenMath-Nemotron-7B)
+* [OpenMath-Nemotron-14B](https://huggingface.co/nvidia/OpenMath-Nemotron-14B)
+* [OpenMath-Nemotron-14B-Kaggle](https://huggingface.co/nvidia/OpenMath-Nemotron-14B-Kaggle) (this is the model used in [AIMO-2 Kaggle competition](https://www.kaggle.com/competitions/ai-mathematical-olympiad-progress-prize-2/leaderboard))
+* [OpenMath-Nemotron-32B](https://huggingface.co/nvidia/OpenMath-Nemotron-32B)
+
+![Evaluation Results](./results.png)
+
+The models achieve state-of-the-art results on popular mathematical benchmarks. We present metrics as pass@1 (maj@64) where pass@1
+is an average accuracy across 64 generations and maj@64 is the result of majority voting. 
+Please see our [paper](https://arxiv.org/abs/2504.16891) for more details on the evaluation setup.
+
+| Model                         | AIME24 |  AIME25     |  HMMT-24-25     | HLE-Math    |
+|-------------------------------|-----------------|-------|-------|-------------|
+| DeepSeek-R1-Distill-Qwen-1.5B | 26.8 (60.0)     | 21.4 (36.7) | 14.2 (26.5) | 2.9 (5.0)   |
+| [OpenMath-Nemotron-1.5B](https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B) CoT   | 61.6 (80.0)     | 49.5 (66.7) | 39.9 (53.6) | 5.4 (5.4)   |
+| [OpenMath-Nemotron-1.5B](https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B) TIR   | 52.0 (83.3)     | 39.7 (70.0) | 37.2 (60.7) | 2.5 (6.2)   |
+| + Self GenSelect              | 83.3            | 70.0  | 62.2  | 7.9         |
+| + 32B GenSelect               | 83.3            | 70.0  | 62.8  | 8.3         |
+| DeepSeek-R1-Distill-Qwen-7B  | 54.4 (80.0)     | 38.6 (53.3) | 30.6 (42.9) | 3.3 (5.2)   |
+| [OpenMath-Nemotron-7B](https://huggingface.co/nvidia/OpenMath-Nemotron-7B) CoT    | 74.8 (80.0)     | 61.2 (76.7) | 49.7 (57.7) | 6.6 (6.6)   |
+| [OpenMath-Nemotron-7B](https://huggingface.co/nvidia/OpenMath-Nemotron-7B) TIR    | 72.9 (83.3)     | 57.5 (76.7) | 54.6 (66.3) | 7.8 (10.8)  |
+| + Self GenSelect              | 86.7            | 76.7  | 68.4  | 11.5        |
+| + 32B GenSelect               | 86.7            | 76.7  | 69.9  | 11.9        |
+| DeepSeek-R1-Distill-Qwen-14B | 65.8 (80.0)     | 48.4 (60.0) | 40.1 (52.0) | 4.2 (4.8)   |
+| [OpenMath-Nemotron-14B-MIX (kaggle)](https://huggingface.co/nvidia/OpenMath-Nemotron-14B-Kaggle) | 73.7 (86.7) | 57.9 (73.3) | 50.5 (64.8) | 5.7 (6.5)   |
+| [OpenMath-Nemotron-14B](https://huggingface.co/nvidia/OpenMath-Nemotron-14B) CoT   | 76.3 (83.3)     | 63.0 (76.7) | 52.1 (60.7) | 7.5 (7.6)   |
+| [OpenMath-Nemotron-14B](https://huggingface.co/nvidia/OpenMath-Nemotron-14B) TIR   | 76.3 (86.7)     | 61.3 (76.7) | 58.6 (70.9) | 9.5 (11.5)  |
+| + Self GenSelect              | 86.7            | 76.7  | 72.4  | 14.1        |
+| + 32B GenSelect               | 90.0            | 76.7  | 71.9  | 13.7        |
+| QwQ-32B                       | 78.1 (86.7)     | 66.5 (76.7) | 55.9 (63.3) | 9.0 (9.5)   |
+| DeepSeek-R1-Distill-Qwen-32B | 66.9 (83.3)     | 51.8 (73.3) | 39.9 (51.0) | 4.8 (6.0)   |
+| [OpenMath-Nemotron-32B](https://huggingface.co/nvidia/OpenMath-Nemotron-32B) CoT   | 76.5 (86.7)     | 62.5 (73.3) | 53.0 (59.2) | 8.3 (8.3)   |
+| [OpenMath-Nemotron-32B](https://huggingface.co/nvidia/OpenMath-Nemotron-32B) TIR   | 78.4 (93.3)     | 64.2 (76.7) | 59.7 (70.9) | 9.2 (12.5)  |
+| + Self GenSelect              | 93.3            | 80.0  | 73.5  | 15.7        |
+| DeepSeek-R1                   | 79.1 (86.7)     | 64.3 (73.3) | 53.0 (59.2) | 10.5 (11.4) |
+
+## Reproducing our results
+
+The pipeline we used to produce the data and models is fully open-sourced!
+
+- [Code](https://github.com/NVIDIA/NeMo-Skills)
+- [Models](https://huggingface.co/collections/nvidia/openmathreasoning-68072c0154a5099573d2e730)
+- [Dataset](https://huggingface.co/datasets/nvidia/OpenMathReasoning)
+- [Paper](https://arxiv.org/abs/2504.16891)
+
+We provide [all instructions](https://nvidia.github.io/NeMo-Skills/openmathreasoning1/)
+to fully reproduce our results, including data generation.
+
+## Citation
+
+If you find our work useful, please consider citing us!
+
+```bibtex
+@article{moshkov2025aimo2,
+  title   = {AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset},
+  author  = {Ivan Moshkov and Darragh Hanley and Ivan Sorokin and Shubham Toshniwal and Christof Henkel and Benedikt Schifferer and Wei Du and Igor Gitman},
+  year    = {2025},
+  journal = {arXiv preprint arXiv:2504.16891}
+}
+```
+
+
+## Dataset Owner(s):
+NVIDIA Corporation
+
+## Release Date:
+04/23/2025
+
+## Data Version
+1.0 (04/23/2025)
+
+## License/Terms of Use:
+cc-by-4.0
+
+## Intended Usage:
+This dataset is intended to be used by the community to continue to improve models. The data may be freely used to train and evaluate.
+
+
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.   
+
+Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
+

data/cot-00000-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7609a8b9575c7f9e19cfdea5c0b5455a8f33afc3f1ba83a979a77070af62583f
+size 220405951

data/cot-00001-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97bf41464a850c307905fe02a2bbc556cefd2a1939c036de408c8dd7c1d1c87e
+size 221982080

data/cot-00002-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:567fd557c8c93e9ed56fa4cc5b9de62de96a488ac5ca6fdf916800406ab3b724
+size 221645172

data/cot-00003-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc4f398a4d3b11c54e9b939463b74efb0c03aa4b52350e0873bb0143efa253a5
+size 222795903

data/cot-00004-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d629144790498126450be92690372eed68f48d6be3ae0b3eeedf42c11db97e52
+size 219946514

data/cot-00005-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:96d19e8ac29de014f4bbdd19a65bd8a43c1bc5c22bfc0f0964e2231af5a08401
+size 221120573

data/cot-00006-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a62a7df9a773507a6a1e0505a3dc3a9892ba319ff350d8544d1213c2584a6b5c
+size 222201044

data/cot-00007-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e4f815e327c77fcc52c81a2378a8093413722e947a72df8135538fb90135450
+size 221213509

data/cot-00008-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c08d8e9f962961690c749c85bb18d53a451aa1f8264b418a52e2dbd859a0f177
+size 220708465

data/cot-00009-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:341b16b02c0d52b77628250ad4826743109287c02a352a4e68214b597aa12896
+size 219909765

data/cot-00010-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e04f7e1c2f6ef9baadcf0f21a8417b4705bc75b966f91b794dd0bcb9a0f9f730
+size 221168654

data/cot-00011-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:def0c22546532ad28237d6ea15845fec686e8d4ad50c2b22c14e16975cd37623
+size 220502822

data/cot-00012-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cba20bf4f1fdbe9151f287da1704b70cf93e000182cf09b9aeefdbe2fde09fd3
+size 220199883

data/cot-00013-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eba7a197159d375326f148680dd90958215fbda466fac37a716e1a6b592fc73d
+size 220308452

data/cot-00014-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4bbd6ae320aee9febe1866d862c55c7e63284be2d299c1f4d11f55a05e3b3e98
+size 221653850

data/cot-00015-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3a21ae4e737938395c70898c50b24b812ac49cd6d447e0a4b7eb6d88227d97f
+size 221469249

data/cot-00016-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:acbb797585c856683c864025695cc839fdf543d2f919393a9fa2116e43034675
+size 221758648

data/cot-00017-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5746a43bf25acc13ff098b5416e3d16f59d3970ca5f1887c475e6b3587bb1306
+size 221759616

data/cot-00018-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:424ba9cdca10e7e43ab0e8f56229dac7c95bcc4c19a533a4b585bed808a0c149
+size 222206438

data/cot-00019-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da8fb35b36a5cf9b9eb139b656b1f4f30a6361ecc2f27a82d9eb6be71cbe8285
+size 219823410

data/cot-00020-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c280d1322a08fd3e091232610b73ea747a47e2941dea119208ff9e25430792d9
+size 222859681

data/cot-00021-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e80737b3f2672ddd7cee26a9e4873e38121cd5935b62a303b9c595bf940a446
+size 219873438

data/cot-00022-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4dc68c682a6ba8487e475285f5c7a4a004709eb3d7382b7745c29dd555385fc
+size 221753342

data/cot-00023-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8137703d49eeee1e7375fd6405e53ebde1e08f28349f5034d5d984abe6a7f59c
+size 220334555

data/cot-00024-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e300d963a8251fbaa26b18b056853c6c492be585ee1bce450a99d908a0a48505
+size 221058266

data/cot-00025-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cdd7d91b5f50ea5e7f825193e38bc5ceec789b2d444fbfdca95917214e757e0d
+size 221845753

data/cot-00026-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01d65a50161cba6192e31dc939862b642ca269015d6d00347cfc6ac9607cfe10
+size 220837871

data/cot-00027-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8616be20e6184aa761aed1b83f5c033f272f55606a936a75be2771618e19e80
+size 220931167

data/cot-00028-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5adaa41e14e75547091aa25cdee20624437612ad35d7baa342668799a397e34
+size 221284576

data/cot-00029-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20ed855dacaa1e8c23c1a31e7479a2a9861a4167064f65a8454b1c0be6140d54
+size 221642616

data/cot-00030-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6117f8b886b4f9656ebd83115da4ea8ab8e7f275eb20bce02644409aa519f6c9
+size 220268091

data/cot-00031-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4b2d95c71125f6da74b8c0552e050d20a057e8f69203ba368632044f1820d62
+size 221288080

data/cot-00032-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63e4fb258d08277707c269a4195aa59d11a64c425b6eb7614b4af56bc3479098
+size 222292625

data/cot-00033-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37904f332a5c51787e1bcc5923ed39c83e1f09156a75de88c0a92ce100123edd
+size 221754307

data/cot-00034-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15f8a45c59bdb4730a12e3c0d548327057081fc2ee0ea448a6f1b94b709e298e
+size 221535964

data/cot-00035-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e468b9b4af0a9a89cb4407409c83bbd3a229a7b2ded5d616344f08a65003049
+size 221738829

data/cot-00036-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8dadb64a9684946bc1f64dcd7a434af4d38b06a5f597cc7f3665ed316d74c16a
+size 221141860

data/cot-00037-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e522875f79102d0b6a24a759d788241b40a92f1e21d7e6f6cb1b9690ffedb982
+size 221061482

data/cot-00038-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2fd741565091d87a077d14e98d65736177fa76a59f8aa44c7ee8acc4e35a339
+size 220717021

data/cot-00039-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc1a7961b0cd5665ed97c285082f379697bd6ecf4ff662184c82bfef13223d5a
+size 221887802

data/cot-00040-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a93a30b8d28e2c221de389129f1d8913b6f84a0cd73c4084a2a1ff5e3ceb3bc0
+size 220886426

data/cot-00041-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75db345717445a14e68b28c6677d1569ee8d9a3422457b3b26d1c7e160326674
+size 221292600

data/cot-00042-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f36912959dc797ddca2b142167cb073bf251cac50e886670a5b370a12fcf264
+size 221502677

data/cot-00043-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a46d3dee446a1ff29ffb4d63287a5bc2eec9f79a1bb6d2b6dc6d4525e5c0e83
+size 221628282

data/cot-00044-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0dfab3e8c64514ae7533a20cd93b8a2b43ad91c596cf85cc5f7d3e148e0bc1b4
+size 221281650

data/cot-00045-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc86eb0f490ab266879c779120437a729cea94ef711a21062d69679948fa3428
+size 220881410

data/cot-00046-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a31be9fd801bb2d3a7f83e718e1721b397d5a3634b521a5ff6ddcd3448faa281
+size 221907792

data/cot-00047-of-00144.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:229447894518941501616d31ec029af35c29657ed1d1c46ea9a0ef6544debe01
+size 220903333