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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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pt
unknown
__key__
string
__url__
string
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfMC9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_0
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfMS9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_1
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfMi9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_2
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfMy9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_3
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfNC9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_4
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfNS9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_5
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfNi9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_6
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfNy9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_7
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfOC9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_8
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
"UEsDBAAACAgAAAAAAAAAAAAAAAAAAAAAAAAQABIAdHJhY2VfOS9kYXRhLnBrbEZCDgBaWlpaWlpaWlpaWlpaWoACfXEAKFgBAAA(...TRUNCATED)
trace_9
"hf://datasets/dungnv/trail-14b-activations@0f0b68565b8a499d75d6f699cc9cd6ed34aacd21/forelen/fl_trai(...TRUNCATED)
End of preview.

TRAIL 14B activations

Per-decode-step hidden activations from deepseek-ai/DeepSeek-R1-Distill-Qwen-14B, layer 27, collected through vLLM at temperature 0 (greedy). Used to train and calibrate remaining-length predictors for conformal SRPT scheduling.

Contents

dir traces prompts from
forelen/ 14,997 ForeLen pool: math, gsm8k, mmlu-stem, mbpp, cruxeval, ifeval, livecodebench, longseq
chat20k/ 20,000 chat (WildChat / LMSYS derived)

Each trace_<i>.pt is a torch dict:

key
L27 (T, 5120) float16 — last-token hidden state at each decode step
T reasoning length (tokens before </think>)
g (T,) decode step index for each row
dataset source dataset name
prompt the prompt text

<i> is the prompt's index in the matching shard file, so traces align with the prompt list.

Collection

Activations are captured by a forward hook on layer 27 inside vLLM's model runner, recording the last-token hidden state on each decode step (prefill steps excluded). Collecting through vLLM rather than HF generate matters: the predictor is read on the serving path, so training and serving see the same batched/paged/fp16 distribution.

Traces where </think> appears within 8 tokens, or with fewer than 8 recorded steps, were dropped. Traces that hit the 16384-token cap are present and record T = 16384, which is not the true reasoning length — filter them out for training or calibration.

Note on prompts

chat20k prompts derive from WildChat-1M and LMSYS-Chat-1M, which are gated on the Hub with their own usage agreements. Use of the prompt text here is subject to those upstream terms.

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