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step
int64
sample_idx
int64
sp_size
int64
trainer_logprobs_shape
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trainer_logprobs
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trainer_model_step
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rank
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dp_rank
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token_ids_shape
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rollout_sample_ids
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model_steps
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model_step
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vllm_logprobs_shape
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vllm_logprobs
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prompt_mask
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attention_mask_shape
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End of preview. Expand in Data Studio

Qwen3.5 4B DRPO trainer logprobs from W&B run vs0f49th

This dataset contains the raw trainer-logprob JSONL shards saved by W&B run ai2-llm/open_instruct_internal/vs0f49th (qwen35_4b_drpo__42__1782345587).

Contents

  • Source run: https://wandb.ai/ai2-llm/open_instruct_internal/runs/vs0f49th
  • Source path: /weka/oe-adapt-default/allennlp/deletable_rollouts/
  • Filename pattern: qwen35_4b_drpo__42__1782345587_trainer_logprobs_step*_rank*.jsonl
  • Files: 4320 JSONL shards
  • Steps: 231 through 500 (270 steps)
  • Ranks: 0 through 15 (16 ranks)
  • Total size: 73.11 GiB

Record Schema

Each JSONL row stores one sample from a rank/step shard. Tensor values are flattened and paired with *_shape fields. Observed fields include:

step, sample_idx, sp_size, trainer_logprobs_shape, trainer_logprobs, response_mask_shape, response_mask, logprob_token_offset, trainer_model_step, rank, world_size, dp_rank, sp_rank, input_token_ids_shape, input_token_ids, token_ids_shape, token_ids, rollout_sample_ids_shape, rollout_sample_ids, model_steps_shape, model_steps, model_step, vllm_logprobs_shape, vllm_logprobs, prompt_mask_shape, prompt_mask, attention_mask_shape, attention_mask, prompt_boundaries.

Manifests

  • trainer_logprobs_file_list.tsv: filename and byte size for each shard.
  • trainer_logprobs_manifest.json: source metadata plus per-file step/rank/size metadata.
  • wandb_config.yaml and wandb_summary.json: downloaded from the source W&B run.
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