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Dataset research report

Language Table Sim Bootstapir Checkpoint V2 research report

A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.

storageHf descriptionjxie--language-table-sim-bootstapir-checkpoint-v2.parquet view_list500 rows

Executive Summary

Hugging Face dataset: jxie/language_table_sim-bootstapir_checkpoint_v2

Finding 1The dataset has 500 rows available in the catalog.
Finding 2The catalog exposes 7 documented or inferred columns.
Finding 3Helix has 5 ready query prompts for this dataset.
Finding 4This report includes 1 generated chart views.

Research Context

Language Table Sim Bootstapir Checkpoint V2: 500 rows by 7 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Data Profile

Rows500
Columns7
Numeric cols1
Categorical cols1

Chart Evidence

These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.

Follow-Up Queries

Preview Rows

# trackstext query_pointstext visiblestext movementsfloat texttext camera_motionboolean videotext
1 b'\x93NUMPY\x01\x00v\x00{\'descr\': \'<f2\', \'fortran_order\': False, \'shape\': (1000, 1, 2), } …b"\x93NUMPY\x01\x00v\x00{'descr': '<f2', 'fortran_order': False, 'shape': (1000, 3), } …b"\x93NUMPY\x01\x00v\x00{'descr': '|b1', 'fortran_order': False, 'shape': (1000, 1), } …0put the green blocks in the center, the red blocks in the bottom left corner, the blue blocks in the top center, and the yellow blocks in t…Falseb'\x00\x00\x00\x1cftypisom\x00\x00\x02\x00isomiso2mp41\x00\x00\x00\x08free\x00\x00\x14\xf6mdat\x00\x00\x01\xb3\x00\x10\x07\x00\x00\x01\xb6\…
2 b'\x93NUMPY\x01\x00v\x00{\'descr\': \'<f2\', \'fortran_order\': False, \'shape\': (1000, 32, 2), } …b"\x93NUMPY\x01\x00v\x00{'descr': '<f2', 'fortran_order': False, 'shape': (1000, 3), } …b"\x93NUMPY\x01\x00v\x00{'descr': '|b1', 'fortran_order': False, 'shape': (1000, 32), } …117.2place the red pentagon left to the yellow pentagonFalseb'\x00\x00\x00\x1cftypisom\x00\x00\x02\x00isomiso2mp41\x00\x00\x00\x08free\x00\x00\x9d\xdamdat\x00\x00\x01\xb3\x00\x10\x07\x00\x00\x01\xb6\…
3 b'\x93NUMPY\x01\x00v\x00{\'descr\': \'<f2\', \'fortran_order\': False, \'shape\': (1000, 1, 2), } …b"\x93NUMPY\x01\x00v\x00{'descr': '<f2', 'fortran_order': False, 'shape': (1000, 3), } …b"\x93NUMPY\x01\x00v\x00{'descr': '|b1', 'fortran_order': False, 'shape': (1000, 1), } …0put the blocks in a diagonal line from the top left to bottom rightFalseb'\x00\x00\x00\x1cftypisom\x00\x00\x02\x00isomiso2mp41\x00\x00\x00\x08free\x00\x00\x16\xe6mdat\x00\x00\x01\xb3\x00\x10\x07\x00\x00\x01\xb6\…
4 b'\x93NUMPY\x01\x00v\x00{\'descr\': \'<f2\', \'fortran_order\': False, \'shape\': (1000, 1, 2), } …b"\x93NUMPY\x01\x00v\x00{'descr': '<f2', 'fortran_order': False, 'shape': (1000, 3), } …b"\x93NUMPY\x01\x00v\x00{'descr': '|b1', 'fortran_order': False, 'shape': (1000, 1), } …0put all the blocks in the center leftFalseb'\x00\x00\x00\x1cftypisom\x00\x00\x02\x00isomiso2mp41\x00\x00\x00\x08free\x00\x00\x15$mdat\x00\x00\x01\xb3\x00\x10\x07\x00\x00\x01\xb6\x10…
5 b'\x93NUMPY\x01\x00v\x00{\'descr\': \'<f2\', \'fortran_order\': False, \'shape\': (1000, 13, 2), } …b"\x93NUMPY\x01\x00v\x00{'descr': '<f2', 'fortran_order': False, 'shape': (1000, 3), } …b"\x93NUMPY\x01\x00v\x00{'descr': '|b1', 'fortran_order': False, 'shape': (1000, 13), } …175.2place the green cube in between red pentagon and blue cubeFalseb'\x00\x00\x00\x1cftypisom\x00\x00\x02\x00isomiso2mp41\x00\x00\x00\x08free\x00\x00lNmdat\x00\x00\x01\xb3\x00\x10\x07\x00\x00\x01\xb6\x10\xc…
6 b'\x93NUMPY\x01\x00v\x00{\'descr\': \'<f2\', \'fortran_order\': False, \'shape\': (1000, 1, 2), } …b"\x93NUMPY\x01\x00v\x00{'descr': '<f2', 'fortran_order': False, 'shape': (1000, 3), } …b"\x93NUMPY\x01\x00v\x00{'descr': '|b1', 'fortran_order': False, 'shape': (1000, 1), } …0put the red and yellow blocks together in the top center, then put the blue and green blocks together in the center left.Falseb'\x00\x00\x00\x1cftypisom\x00\x00\x02\x00isomiso2mp41\x00\x00\x00\x08free\x00\x00\x13Kmdat\x00\x00\x01\xb3\x00\x10\x07\x00\x00\x01\xb6\x10…

Data Dictionary

  • tracks text
  • query_points text
  • visibles text
  • movements numeric
  • text text
  • camera_motion bool
  • video text

Method And Limits

  • Load the catalog entry and preview rows from the processed dataset file.
  • Infer numeric, categorical, time, and location fields from real columns.
  • Generate a small set of defensive Plotly chart specifications from that profile.
  • Expose each chart idea as a query link so the report can be rerun or exported in Helix.

This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.

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