Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              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/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

EP Dashboards — Qwen3.6-27B

Exemplar-Partitioning dashboards for Qwen/Qwen3.6-27B over the Pile

Contents

layer θ regions (K) p equiv. dictionary
0 0.80 1,924 28 qwen3_6-27b_L0_t0p80_ctx128_cache_pile
0.85 841 33 qwen3_6-27b_L0_t0p85_ctx128_cache_pile
0.90 251 38 qwen3_6-27b_L0_t0p90_ctx128_cache_pile
1 0.80 3,078 26 qwen3_6-27b_L1_t0p80_ctx128_cache_pile
0.85 1,169 31 qwen3_6-27b_L1_t0p85_ctx128_cache_pile
0.90 313 36 qwen3_6-27b_L1_t0p90_ctx128_cache_pile
2 0.80 8,703 17 qwen3_6-27b_L2_t0p80_ctx128_cache_pile
0.85 4,103 21 qwen3_6-27b_L2_t0p85_ctx128_cache_pile
0.90 1,141 28 qwen3_6-27b_L2_t0p90_ctx128_cache_pile
3 0.80 7,752 22 qwen3_6-27b_L3_t0p80_ctx128_cache_pile
0.85 3,365 27 qwen3_6-27b_L3_t0p85_ctx128_cache_pile
0.90 894 33 qwen3_6-27b_L3_t0p90_ctx128_cache_pile
4 0.80 10,802 22 qwen3_6-27b_L4_t0p80_ctx128_cache_pile
0.85 4,234 26 qwen3_6-27b_L4_t0p85_ctx128_cache_pile
0.90 943 32 qwen3_6-27b_L4_t0p90_ctx128_cache_pile
5 0.80 12,005 20 qwen3_6-27b_L5_t0p80_ctx128_cache_pile
0.85 4,410 24 qwen3_6-27b_L5_t0p85_ctx128_cache_pile
0.90 932 30 qwen3_6-27b_L5_t0p90_ctx128_cache_pile
6 0.80 12,886 15 qwen3_6-27b_L6_t0p80_ctx128_cache_pile
0.85 4,394 19 qwen3_6-27b_L6_t0p85_ctx128_cache_pile
0.90 879 26 qwen3_6-27b_L6_t0p90_ctx128_cache_pile
7 0.80 13,998 16 qwen3_6-27b_L7_t0p80_ctx128_cache_pile
0.85 4,778 20 qwen3_6-27b_L7_t0p85_ctx128_cache_pile
0.90 975 26 qwen3_6-27b_L7_t0p90_ctx128_cache_pile
8 0.80 14,478 15 qwen3_6-27b_L8_t0p80_ctx128_cache_pile
0.85 4,885 19 qwen3_6-27b_L8_t0p85_ctx128_cache_pile
0.90 1,057 25 qwen3_6-27b_L8_t0p90_ctx128_cache_pile
9 0.80 13,737 14 qwen3_6-27b_L9_t0p80_ctx128_cache_pile
0.85 4,530 18 qwen3_6-27b_L9_t0p85_ctx128_cache_pile
0.90 893 25 qwen3_6-27b_L9_t0p90_ctx128_cache_pile
10 0.80 11,745 13 qwen3_6-27b_L10_t0p80_ctx128_cache_pile
0.85 3,596 18 qwen3_6-27b_L10_t0p85_ctx128_cache_pile
0.90 717 24 qwen3_6-27b_L10_t0p90_ctx128_cache_pile
11 0.80 9,298 15 qwen3_6-27b_L11_t0p80_ctx128_cache_pile
0.85 2,822 20 qwen3_6-27b_L11_t0p85_ctx128_cache_pile
0.90 590 26 qwen3_6-27b_L11_t0p90_ctx128_cache_pile
12 0.80 8,852 15 qwen3_6-27b_L12_t0p80_ctx128_cache_pile
0.85 2,644 20 qwen3_6-27b_L12_t0p85_ctx128_cache_pile
0.90 571 27 qwen3_6-27b_L12_t0p90_ctx128_cache_pile
13 0.80 10,167 12 qwen3_6-27b_L13_t0p80_ctx128_cache_pile
0.85 2,917 17 qwen3_6-27b_L13_t0p85_ctx128_cache_pile
0.90 613 24 qwen3_6-27b_L13_t0p90_ctx128_cache_pile
14 0.80 11,664 10 qwen3_6-27b_L14_t0p80_ctx128_cache_pile
0.85 3,211 14 qwen3_6-27b_L14_t0p85_ctx128_cache_pile
0.90 655 22 qwen3_6-27b_L14_t0p90_ctx128_cache_pile
15 0.80 12,978 8 qwen3_6-27b_L15_t0p80_ctx128_cache_pile
0.85 3,529 13 qwen3_6-27b_L15_t0p85_ctx128_cache_pile
0.90 720 20 qwen3_6-27b_L15_t0p90_ctx128_cache_pile
16 0.80 14,485 5 qwen3_6-27b_L16_t0p80_ctx128_cache_pile
0.85 3,767 9 qwen3_6-27b_L16_t0p85_ctx128_cache_pile
0.90 718 15 qwen3_6-27b_L16_t0p90_ctx128_cache_pile
17 0.80 15,180 4 qwen3_6-27b_L17_t0p80_ctx128_cache_pile
0.85 3,804 6 qwen3_6-27b_L17_t0p85_ctx128_cache_pile
0.90 703 11 qwen3_6-27b_L17_t0p90_ctx128_cache_pile
18 0.80 14,619 2 qwen3_6-27b_L18_t0p80_ctx128_cache_pile
0.85 3,712 4 qwen3_6-27b_L18_t0p85_ctx128_cache_pile
0.90 700 9 qwen3_6-27b_L18_t0p90_ctx128_cache_pile
19 0.80 16,150 2 qwen3_6-27b_L19_t0p80_ctx128_cache_pile
0.85 4,155 3 qwen3_6-27b_L19_t0p85_ctx128_cache_pile
0.90 797 7 qwen3_6-27b_L19_t0p90_ctx128_cache_pile
20 0.80 16,657 2 qwen3_6-27b_L20_t0p80_ctx128_cache_pile
0.85 4,600 3 qwen3_6-27b_L20_t0p85_ctx128_cache_pile
0.90 911 7 qwen3_6-27b_L20_t0p90_ctx128_cache_pile
21 0.80 17,513 2 qwen3_6-27b_L21_t0p80_ctx128_cache_pile
0.85 5,073 3 qwen3_6-27b_L21_t0p85_ctx128_cache_pile
0.90 1,080 7 qwen3_6-27b_L21_t0p90_ctx128_cache_pile
22 0.80 16,209 2 qwen3_6-27b_L22_t0p80_ctx128_cache_pile
0.85 4,824 4 qwen3_6-27b_L22_t0p85_ctx128_cache_pile
0.90 990 8 qwen3_6-27b_L22_t0p90_ctx128_cache_pile
23 0.80 18,102 2 qwen3_6-27b_L23_t0p80_ctx128_cache_pile
0.85 5,430 4 qwen3_6-27b_L23_t0p85_ctx128_cache_pile
0.90 1,100 8 qwen3_6-27b_L23_t0p90_ctx128_cache_pile
24 0.80 16,624 2 qwen3_6-27b_L24_t0p80_ctx128_cache_pile
0.85 4,923 4 qwen3_6-27b_L24_t0p85_ctx128_cache_pile
0.90 975 8 qwen3_6-27b_L24_t0p90_ctx128_cache_pile
25 0.80 18,412 2 qwen3_6-27b_L25_t0p80_ctx128_cache_pile
0.85 5,291 3 qwen3_6-27b_L25_t0p85_ctx128_cache_pile
0.90 952 7 qwen3_6-27b_L25_t0p90_ctx128_cache_pile
26 0.80 17,645 2 qwen3_6-27b_L26_t0p80_ctx128_cache_pile
0.85 4,559 4 qwen3_6-27b_L26_t0p85_ctx128_cache_pile
0.90 725 7 qwen3_6-27b_L26_t0p90_ctx128_cache_pile
27 0.80 18,728 2 qwen3_6-27b_L27_t0p80_ctx128_cache_pile
0.85 4,514 3 qwen3_6-27b_L27_t0p85_ctx128_cache_pile
0.90 693 7 qwen3_6-27b_L27_t0p90_ctx128_cache_pile
28 0.80 17,829 2 qwen3_6-27b_L28_t0p80_ctx128_cache_pile
0.85 3,928 3 qwen3_6-27b_L28_t0p85_ctx128_cache_pile
0.90 615 7 qwen3_6-27b_L28_t0p90_ctx128_cache_pile
29 0.80 18,681 2 qwen3_6-27b_L29_t0p80_ctx128_cache_pile
0.85 3,894 3 qwen3_6-27b_L29_t0p85_ctx128_cache_pile
0.90 580 7 qwen3_6-27b_L29_t0p90_ctx128_cache_pile
30 0.80 17,580 2 qwen3_6-27b_L30_t0p80_ctx128_cache_pile
0.85 3,557 3 qwen3_6-27b_L30_t0p85_ctx128_cache_pile
0.90 536 7 qwen3_6-27b_L30_t0p90_ctx128_cache_pile
31 0.80 22,474 2 qwen3_6-27b_L31_t0p80_ctx128_cache_pile
0.85 4,437 3 qwen3_6-27b_L31_t0p85_ctx128_cache_pile
0.90 635 7 qwen3_6-27b_L31_t0p90_ctx128_cache_pile
32 0.80 22,542 2 qwen3_6-27b_L32_t0p80_ctx128_cache_pile
0.85 4,341 3 qwen3_6-27b_L32_t0p85_ctx128_cache_pile
0.90 606 7 qwen3_6-27b_L32_t0p90_ctx128_cache_pile
33 0.80 18,825 2 qwen3_6-27b_L33_t0p80_ctx128_cache_pile
0.85 3,633 3 qwen3_6-27b_L33_t0p85_ctx128_cache_pile
0.90 531 7 qwen3_6-27b_L33_t0p90_ctx128_cache_pile
34 0.80 14,482 2 qwen3_6-27b_L34_t0p80_ctx128_cache_pile
0.85 2,917 4 qwen3_6-27b_L34_t0p85_ctx128_cache_pile
0.90 465 8 qwen3_6-27b_L34_t0p90_ctx128_cache_pile
35 0.80 13,527 3 qwen3_6-27b_L35_t0p80_ctx128_cache_pile
0.85 2,864 4 qwen3_6-27b_L35_t0p85_ctx128_cache_pile
0.90 498 8 qwen3_6-27b_L35_t0p90_ctx128_cache_pile
36 0.80 12,434 3 qwen3_6-27b_L36_t0p80_ctx128_cache_pile
0.85 2,948 5 qwen3_6-27b_L36_t0p85_ctx128_cache_pile
0.90 555 8 qwen3_6-27b_L36_t0p90_ctx128_cache_pile
37 0.80 13,363 3 qwen3_6-27b_L37_t0p80_ctx128_cache_pile
0.85 3,276 4 qwen3_6-27b_L37_t0p85_ctx128_cache_pile
0.90 604 8 qwen3_6-27b_L37_t0p90_ctx128_cache_pile
38 0.80 12,178 3 qwen3_6-27b_L38_t0p80_ctx128_cache_pile
0.85 3,138 5 qwen3_6-27b_L38_t0p85_ctx128_cache_pile
0.90 591 9 qwen3_6-27b_L38_t0p90_ctx128_cache_pile
39 0.80 13,272 3 qwen3_6-27b_L39_t0p80_ctx128_cache_pile
0.85 3,326 5 qwen3_6-27b_L39_t0p85_ctx128_cache_pile
0.90 642 9 qwen3_6-27b_L39_t0p90_ctx128_cache_pile
40 0.80 12,211 3 qwen3_6-27b_L40_t0p80_ctx128_cache_pile
0.85 3,125 5 qwen3_6-27b_L40_t0p85_ctx128_cache_pile
0.90 571 9 qwen3_6-27b_L40_t0p90_ctx128_cache_pile
41 0.80 11,989 3 qwen3_6-27b_L41_t0p80_ctx128_cache_pile
0.85 2,934 4 qwen3_6-27b_L41_t0p85_ctx128_cache_pile
0.90 537 8 qwen3_6-27b_L41_t0p90_ctx128_cache_pile
42 0.80 10,997 3 qwen3_6-27b_L42_t0p80_ctx128_cache_pile
0.85 2,559 5 qwen3_6-27b_L42_t0p85_ctx128_cache_pile
0.90 451 9 qwen3_6-27b_L42_t0p90_ctx128_cache_pile
43 0.80 9,540 3 qwen3_6-27b_L43_t0p80_ctx128_cache_pile
0.85 2,211 5 qwen3_6-27b_L43_t0p85_ctx128_cache_pile
0.90 389 9 qwen3_6-27b_L43_t0p90_ctx128_cache_pile
44 0.80 8,223 3 qwen3_6-27b_L44_t0p80_ctx128_cache_pile
0.85 1,887 5 qwen3_6-27b_L44_t0p85_ctx128_cache_pile
0.90 352 10 qwen3_6-27b_L44_t0p90_ctx128_cache_pile
45 0.80 8,091 3 qwen3_6-27b_L45_t0p80_ctx128_cache_pile
0.85 1,816 5 qwen3_6-27b_L45_t0p85_ctx128_cache_pile
0.90 341 10 qwen3_6-27b_L45_t0p90_ctx128_cache_pile
46 0.80 7,485 3 qwen3_6-27b_L46_t0p80_ctx128_cache_pile
0.85 1,699 5 qwen3_6-27b_L46_t0p85_ctx128_cache_pile
0.90 327 10 qwen3_6-27b_L46_t0p90_ctx128_cache_pile
47 0.80 7,614 2 qwen3_6-27b_L47_t0p80_ctx128_cache_pile
0.85 1,736 5 qwen3_6-27b_L47_t0p85_ctx128_cache_pile
0.90 336 9 qwen3_6-27b_L47_t0p90_ctx128_cache_pile
48 0.80 6,670 3 qwen3_6-27b_L48_t0p80_ctx128_cache_pile
0.85 1,573 5 qwen3_6-27b_L48_t0p85_ctx128_cache_pile
0.90 307 10 qwen3_6-27b_L48_t0p90_ctx128_cache_pile
49 0.80 6,025 3 qwen3_6-27b_L49_t0p80_ctx128_cache_pile
0.85 1,427 5 qwen3_6-27b_L49_t0p85_ctx128_cache_pile
0.90 294 9 qwen3_6-27b_L49_t0p90_ctx128_cache_pile
50 0.80 4,937 3 qwen3_6-27b_L50_t0p80_ctx128_cache_pile
0.85 1,229 5 qwen3_6-27b_L50_t0p85_ctx128_cache_pile
0.90 271 10 qwen3_6-27b_L50_t0p90_ctx128_cache_pile
51 0.80 5,374 3 qwen3_6-27b_L51_t0p80_ctx128_cache_pile
0.85 1,389 5 qwen3_6-27b_L51_t0p85_ctx128_cache_pile
0.90 302 10 qwen3_6-27b_L51_t0p90_ctx128_cache_pile
52 0.80 5,833 4 qwen3_6-27b_L52_t0p80_ctx128_cache_pile
0.85 1,557 6 qwen3_6-27b_L52_t0p85_ctx128_cache_pile
0.90 334 10 qwen3_6-27b_L52_t0p90_ctx128_cache_pile
53 0.80 6,529 3 qwen3_6-27b_L53_t0p80_ctx128_cache_pile
0.85 1,810 5 qwen3_6-27b_L53_t0p85_ctx128_cache_pile
0.90 384 10 qwen3_6-27b_L53_t0p90_ctx128_cache_pile
54 0.80 7,084 3 qwen3_6-27b_L54_t0p80_ctx128_cache_pile
0.85 1,987 5 qwen3_6-27b_L54_t0p85_ctx128_cache_pile
0.90 420 10 qwen3_6-27b_L54_t0p90_ctx128_cache_pile
55 0.80 8,752 3 qwen3_6-27b_L55_t0p80_ctx128_cache_pile
0.85 2,418 5 qwen3_6-27b_L55_t0p85_ctx128_cache_pile
0.90 513 10 qwen3_6-27b_L55_t0p90_ctx128_cache_pile
56 0.80 9,202 4 qwen3_6-27b_L56_t0p80_ctx128_cache_pile
0.85 2,576 6 qwen3_6-27b_L56_t0p85_ctx128_cache_pile
0.90 542 10 qwen3_6-27b_L56_t0p90_ctx128_cache_pile
57 0.80 10,390 4 qwen3_6-27b_L57_t0p80_ctx128_cache_pile
0.85 2,976 6 qwen3_6-27b_L57_t0p85_ctx128_cache_pile
0.90 613 11 qwen3_6-27b_L57_t0p90_ctx128_cache_pile
58 0.80 11,277 4 qwen3_6-27b_L58_t0p80_ctx128_cache_pile
0.85 3,257 7 qwen3_6-27b_L58_t0p85_ctx128_cache_pile
0.90 671 12 qwen3_6-27b_L58_t0p90_ctx128_cache_pile
59 0.80 13,154 3 qwen3_6-27b_L59_t0p80_ctx128_cache_pile
0.85 3,590 6 qwen3_6-27b_L59_t0p85_ctx128_cache_pile
0.90 704 11 qwen3_6-27b_L59_t0p90_ctx128_cache_pile
60 0.80 12,114 4 qwen3_6-27b_L60_t0p80_ctx128_cache_pile
0.85 3,371 6 qwen3_6-27b_L60_t0p85_ctx128_cache_pile
0.90 654 11 qwen3_6-27b_L60_t0p90_ctx128_cache_pile
61 0.80 12,285 3 qwen3_6-27b_L61_t0p80_ctx128_cache_pile
0.85 3,265 5 qwen3_6-27b_L61_t0p85_ctx128_cache_pile
0.90 625 10 qwen3_6-27b_L61_t0p90_ctx128_cache_pile
62 0.80 10,541 4 qwen3_6-27b_L62_t0p80_ctx128_cache_pile
0.85 2,760 6 qwen3_6-27b_L62_t0p85_ctx128_cache_pile
0.90 543 10 qwen3_6-27b_L62_t0p90_ctx128_cache_pile

Each dictionary folder holds:

file contents
regions_NNN.html region pages
regions_NNN.json embedded region pages
header.json dict metadata
vectors.npz exemplar and mean direction per region

Generated by EPDashboard.

  • In the original post, varying EP dictionaries work by picking the region radius θ indirecty (as the p-th percentile of pairwise centered-cosine distances over a calibration batch). This means dictionaries would be sorted by p values ∈ {1, 2, 4, 8, 10}. In this source, we set region radius θ directly instead, at 0.80 / 0.85 / 0.90 for every layer. This remediates some of the issues with standardizing across p value dictionaries (ie exploding region sizes: percentile-based builds in early layers exceeded 48,000 regions before a tenth of the corpus) Each dictionary here includes a p equiv. column, which is the percentile that would have produced its θ on that layer, for reference. We were motivated by the fact that θ(p) does not transfer across depth in this model: the median pairwise distance is ~1.00 at every layer measured (0.6% spread from L7 to L55), but the lower tail p reads varies ~200× (4.27% of pairs below distance 0.5 at L7 against 0.02% at L23). Fixing θ allows every region in the dataset to be the same size, so layers are comparable region by region.

References

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Paper for andyx10/ep-dashboards-qwen27b