id stringlengths 19 26 | messages listlengths 2 226 | source_dataset stringclasses 3
values | source_split stringclasses 1
value | source_id stringlengths 8 86 ⌀ | source_name stringclasses 19
values | selection_bucket stringclasses 3
values | category stringclasses 9
values | difficulty stringclasses 5
values | quality stringclasses 5
values | reward_model_score float64 0.15 0.26 ⌀ | conversation_tokens int64 137 6.2k ⌀ | num_turns int64 2 226 | assistant_chars int64 0 250k | reasoning_chars int64 0 133k | selection_score float64 0 14.3 | dedup_fingerprint stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
stage1_openthoughts_000000 | [
{
"role": "system",
"content": "Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflect... | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 2,558 | 21,453 | 0 | d4acda169b074cc477f0ce81fa9cb87df7370afe |
stage1_openthoughts_000001 | [
{
"role": "system",
"content": "Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflect... | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 2,328 | 12,722 | 0 | b5b777e1513427c448b63b08b9a9deb010d2e880 |
stage1_openthoughts_000002 | [
{
"role": "system",
"content": "Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflect... | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 3,020 | 38,791 | 0 | 868f5427a89227ae2dd1a872d487a6ee7f0c094c |
stage1_openthoughts_000003 | [
{
"role": "system",
"content": "Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflect... | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 2,430 | 34,371 | 0 | e5deda3334a0735c6a65724c970c7b085335e05e |
stage1_openthoughts_000004 | [
{
"role": "system",
"content": "Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflect... | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 3,014 | 27,551 | 0 | 4378cfc129884049bf404e13ece9dea93453261a |
stage1_openthoughts_000005 | [
{
"role": "system",
"content": "Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflect... | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 1,851 | 6,280 | 0 | bad23788f7e0b682f6100c21f15f8ec595d24e18 |
stage1_openthoughts_000006 | [{"role":"system","content":"Your role as an assistant involves thoroughly exploring questions throu(...TRUNCATED) | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 2,186 | 15,405 | 0 | d8e0c7204b5a9aa2c4ea6776198d8be912d87ddf |
stage1_openthoughts_000007 | [{"role":"system","content":"Your role as an assistant involves thoroughly exploring questions throu(...TRUNCATED) | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 3,919 | 70,064 | 0 | ce93cd017a46dc1b9232a35055bfd4c551866c2b |
stage1_openthoughts_000008 | [{"role":"system","content":"Your role as an assistant involves thoroughly exploring questions throu(...TRUNCATED) | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 3,665 | 53,654 | 0 | 3950a753bdcb08e963c9ea2e2a486c2118cdb763 |
stage1_openthoughts_000009 | [{"role":"system","content":"Your role as an assistant involves thoroughly exploring questions throu(...TRUNCATED) | open-thoughts/OpenThoughts-114k | train | null | default | openthoughts | null | null | null | null | null | 2 | 3,702 | 31,543 | 0 | bf783e0739b1e11268661a06e97cbc157bd5d172 |
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Qwen3.5 A2D Stage 1 SFT
Curated general supervised fine-tuning corpus for Qwen3.5 text-only A2D BD3LM experiments.
Files
train-*.parquet: canonical training split data (54 shard(s)).stage1_sft_metadata.json: curation counts and source-level metadata.metadata.json: duplicate of the stage metadata for quick inspection.
Loading
from datasets import load_dataset
dataset = load_dataset("parquet", data_files={"train": "train-*.parquet"})
Curation Details
Stage 1 SFT Dataset
Canonical artifact: /Users/shreyvishen/Projects/local_inference/auto-to-diff/datasets/stage1_sft.parquet
Training export: /Users/shreyvishen/Projects/local_inference/auto-to-diff/datasets/stage1_sft_train.jsonl
Metadata: /Users/shreyvishen/Projects/local_inference/auto-to-diff/datasets/stage1_sft_metadata.json
Stage 1 Filter Logic
- Tulu-3 examples are scored for reasoning, coding, math, multi-turn structure, source affinity, and response length.
- SmolTalk examples are scored for category balance, difficulty, quality, reward_model_score, conversation_tokens, and response length.
- OpenThoughts examples are included in full after normalization into the shared messages schema.
- Deduplication uses an exact normalized conversation fingerprint across all merged sources.
- Parquet is the canonical artifact; JSONL is a derived training-ready export.
Schema
messages: list of{role, content, reasoning_content}structs compatible with Qwen chat templating.source_dataset,source_split,source_id,source_name: provenance fields.selection_bucket,category,difficulty,quality,reward_model_score,conversation_tokens: curation metadata.num_turns,assistant_chars,reasoning_chars,selection_score,dedup_fingerprint: filtering and audit metadata.
Sources
- allenai/tulu-3-sft-mixture
- HuggingFaceTB/smoltalk (config: smol-magpie-ultra)
- open-thoughts/OpenThoughts-114k
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