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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
format: string
state: string
source_identity: string
source_revision: string
source_origin: string
source_input_binding: struct<source_snapshot_path: string, source_selected_tree_sha256: string, source_selected_files: lis (... 100 chars omitted)
  child 0, source_snapshot_path: string
  child 1, source_selected_tree_sha256: string
  child 2, source_selected_files: list<item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string (... 2 chars omitted)
      child 0, item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string>
          child 0, path: string
          child 1, purpose: string
          child 2, bytes: int64
          child 3, sha256: string
          child 4, sha256_method: string
adapter_contract: string
filter_contract: string
renderer: string
counts: struct<units_seen: int64, kept: int64, repaired: int64, rejected: int64, excluded: int64, aliases: i (... 5 chars omitted)
  child 0, units_seen: int64
  child 1, kept: int64
  child 2, repaired: int64
  child 3, rejected: int64
  child 4, excluded: int64
  child 5, aliases: int64
schema: struct<primary_training_column: string, required_columns: list<item: string>>
  child 0, primary_training_column: string
  child 1, required_columns: list<item: string>
      child 0, item: string
text: string
to
{'text': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table 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/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              format: string
              state: string
              source_identity: string
              source_revision: string
              source_origin: string
              source_input_binding: struct<source_snapshot_path: string, source_selected_tree_sha256: string, source_selected_files: lis (... 100 chars omitted)
                child 0, source_snapshot_path: string
                child 1, source_selected_tree_sha256: string
                child 2, source_selected_files: list<item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string (... 2 chars omitted)
                    child 0, item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string>
                        child 0, path: string
                        child 1, purpose: string
                        child 2, bytes: int64
                        child 3, sha256: string
                        child 4, sha256_method: string
              adapter_contract: string
              filter_contract: string
              renderer: string
              counts: struct<units_seen: int64, kept: int64, repaired: int64, rejected: int64, excluded: int64, aliases: i (... 5 chars omitted)
                child 0, units_seen: int64
                child 1, kept: int64
                child 2, repaired: int64
                child 3, rejected: int64
                child 4, excluded: int64
                child 5, aliases: int64
              schema: struct<primary_training_column: string, required_columns: list<item: string>>
                child 0, primary_training_column: string
                child 1, required_columns: list<item: string>
                    child 0, item: string
              text: string
              to
              {'text': Value('string')}
              because column names don't match
              
              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 1683, 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 1869, 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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<|start|>user<|message|>Make a new one, it should be a fast paced multiplayer FPS (with optinal bots) with full ray-traced stuff with lots of settings. TL;DR clone CSgo to the best of your ability. Look at the result and refine it<|end|><|start|>user<|message|>Make a first person fast paced ultimate 3D shooter. Think C...
<|start|>user<|message|>Make a new one, it should be a fast paced multiplayer FPS (with optinal bots) with full ray-traced stuff with lots of settings. TL;DR clone CSgo to the best of your ability. Look at the result and refine it<|end|><|start|>user<|message|>Make a first person fast paced ultimate 3D shooter. Think C...
<|start|>user<|message|>Make a new one, it should be a fast paced multiplayer FPS (with optinal bots) with full ray-traced stuff with lots of settings. TL;DR clone CSgo to the best of your ability. Look at the result and refine it<|end|><|start|>user<|message|>Make a first person fast paced ultimate 3D shooter. Think C...
<|start|>user<|message|>Make a new one, it should be a fast paced multiplayer FPS (with optinal bots) with full ray-traced stuff with lots of settings. TL;DR clone CSgo to the best of your ability. Look at the result and refine it<|end|><|start|>user<|message|>Make a first person fast paced ultimate 3D shooter. Think C...
<|start|>user<|message|>Make a new one, it should be a fast paced multiplayer FPS (with optinal bots) with full ray-traced stuff with lots of settings. TL;DR clone CSgo to the best of your ability. Look at the result and refine it<|end|><|start|>user<|message|>Make a first person fast paced ultimate 3D shooter. Think C...
<|start|>user<|message|>Make a new one, it should be a fast paced multiplayer FPS (with optinal bots) with full ray-traced stuff with lots of settings. TL;DR clone CSgo to the best of your ability. Look at the result and refine it<|end|><|start|>user<|message|>Make a first person fast paced ultimate 3D shooter. Think C...
<|start|>user<|message|>Make a new one, it should be a fast paced multiplayer FPS (with optinal bots) with full ray-traced stuff with lots of settings. TL;DR clone CSgo to the best of your ability. Look at the result and refine it<|end|><|start|>user<|message|>Make a first person fast paced ultimate 3D shooter. Think C...
<|start|>user<|message|>Make a new one, it should be a fast paced multiplayer FPS (with optinal bots) with full ray-traced stuff with lots of settings. TL;DR clone CSgo to the best of your ability. Look at the result and refine it<|end|><|start|>user<|message|>Make a first person fast paced ultimate 3D shooter. Think C...
<|start|>user<|message|>You are building the multiplayer layer for NEONSTRIKE, a browser FPS at /home/lane/AIArchives/archives/neonstrike/. Create EXACTLY TWO NEW FILES and touch nothing else: 1. /home/lane/AIArchives/archives/neonstrike/app/server/index.js (CommonJS, Node) 2. /home/lane/AIArchives/archives/neonstrik...
<|start|>user<|message|>You are building the multiplayer layer for NEONSTRIKE, a browser FPS at /home/lane/AIArchives/archives/neonstrike/. Create EXACTLY TWO NEW FILES and touch nothing else: 1. /home/lane/AIArchives/archives/neonstrike/app/server/index.js (CommonJS, Node) 2. /home/lane/AIArchives/archives/neonstrik...
<|start|>user<|message|>You are building the multiplayer layer for NEONSTRIKE, a browser FPS at /home/lane/AIArchives/archives/neonstrike/. Create EXACTLY TWO NEW FILES and touch nothing else: 1. /home/lane/AIArchives/archives/neonstrike/app/server/index.js (CommonJS, Node) 2. /home/lane/AIArchives/archives/neonstrik...
<|start|>user<|message|>You are building the multiplayer layer for NEONSTRIKE, a browser FPS at /home/lane/AIArchives/archives/neonstrike/. Create EXACTLY TWO NEW FILES and touch nothing else: 1. /home/lane/AIArchives/archives/neonstrike/app/server/index.js (CommonJS, Node) 2. /home/lane/AIArchives/archives/neonstrik...
<|start|>user<|message|>You are building the multiplayer layer for NEONSTRIKE, a browser FPS at /home/lane/AIArchives/archives/neonstrike/. Create EXACTLY TWO NEW FILES and touch nothing else: 1. /home/lane/AIArchives/archives/neonstrike/app/server/index.js (CommonJS, Node) 2. /home/lane/AIArchives/archives/neonstrik...
<|start|>user<|message|>You are adding map diversity to NEONSTRIKE, a ray-traced browser FPS. Read these files first: - /home/lane/AIArchives/archives/neonstrike/app/public/js/map.js (current map 'VECTOR' — format reference) - /home/lane/AIArchives/archives/neonstrike/app/public/js/renderer.js (just the material list s...
<|start|>user<|message|>You are adding map diversity to NEONSTRIKE, a ray-traced browser FPS. Read these files first: - /home/lane/AIArchives/archives/neonstrike/app/public/js/map.js (current map 'VECTOR' — format reference) - /home/lane/AIArchives/archives/neonstrike/app/public/js/renderer.js (just the material list s...
<|start|>user<|message|>You are building the multiplayer layer for NEONSTRIKE, a browser FPS at /home/lane/AIArchives/archives/neonstrike/. Create EXACTLY TWO NEW FILES and touch nothing else: 1. /home/lane/AIArchives/archives/neonstrike/app/server/index.js (CommonJS, Node) 2. /home/lane/AIArchives/archives/neonstrik...
<|start|>user<|message|>Please look at how you could improve this python AOT compiler to be ready for real-world use.<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"git status --short && ls -la","description":"Check repo state"}<|call|><|start|>functions.Bash to=assistant<|ch...
<|start|>user<|message|>Please look at how you could improve this python AOT compiler to be ready for real-world use.<|end|><|start|>assistant<|channel|>analysis<|message|>The user wants me to look at how to improve a Python AOT (Ahead‑Of‑Time) compiler so it can be ready for real‑world use. To give concrete, actionabl...
<|start|>user<|message|>Please look at how you could improve this python AOT compiler to be ready for real-world use.<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"git status --short && ls -la","description":"Check repo state"}<|call|><|start|>functions.Bash to=assistant<|ch...
<|start|>user<|message|>Please look at how you could improve this python AOT compiler to be ready for real-world use.<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"git status --short && ls -la","description":"Check repo state"}<|call|><|start|>functions.Bash to=assistant<|ch...
<|start|>user<|message|>Please look at how you could improve this python AOT compiler to be ready for real-world use.<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"git status --short && ls -la","description":"Check repo state"}<|call|><|start|>functions.Bash to=assistant<|ch...
<|start|>user<|message|>Please look at how you could improve this python AOT compiler to be ready for real-world use.<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"git status --short && ls -la","description":"Check repo state"}<|call|><|start|>functions.Bash to=assistant<|ch...
<|start|>user<|message|>Please look at how you could improve this python AOT compiler to be ready for real-world use.<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"git status --short && ls -la","description":"Check repo state"}<|call|><|start|>functions.Bash to=assistant<|ch...
<|start|>user<|message|>Please look at how you could improve this python AOT compiler to be ready for real-world use.<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"git status --short && ls -la","description":"Check repo state"}<|call|><|start|>functions.Bash to=assistant<|ch...
<|start|>user<|message|>Please make a refresh db button<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt...
<|start|>user<|message|>Please make a refresh db button<|end|><|start|>assistant<|channel|>analysis<|message|>The user wants me to "make a refresh db button". That implies they have some existing codebase where a UI component can be added, probably in a web app that interacts with a database. I don't yet know the struc...
<|start|>user<|message|>Please make a refresh db button<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt...
<|start|>user<|message|>Please make a refresh db button<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt...
<|start|>user<|message|>Please make a refresh db button<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt...
<|start|>user<|message|>Please make a refresh db button<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt...
<|start|>user<|message|>Please make a refresh db button<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt...
<|start|>user<|message|>Make this UI mobile freindly<|end|><|start|>assistant<|channel|>analysis<|message|>The user wants me to make the UI mobile‑friendly. To give concrete advice or modify code, I first need to see what UI files actually exist in the project. I recall that the workspace for this session is mounted at...
<|start|>user<|message|>Make this UI mobile freindly<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt st...
<|start|>user<|message|>Make this UI mobile freindly<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt st...
<|start|>user<|message|>Make this UI mobile freindly<|end|><|start|>assistant to=functions.Bash<|channel|>commentary json<|message|>{"command":"ls ./hf_space","description":"List hf_space files"}<|call|><|start|>functions.Bash to=assistant<|channel|>commentary<|message|>app.py Dockerfile __pycache__ requirements.txt st...
End of preview.

Complete-FABLE.5-traces-2M-harmonized

Direct-ingest Harmony mirror of Crownelius/Complete-FABLE.5-traces-2M.

License note: mixed upstream licenses are preserved through row-level provenance. Consult the source attribution and upstream terms before redistribution.

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