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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
ts: int64
last_data_ts: double
datetime_utc: string
future_price: double
price_age_sec: double
current_dte_mode: int64
atm_frozen: bool
frozen_strike: int64
frozen_ts: int64
frozen_date_et: string
premiums_frozen: bool
frozen_call_pr: double
frozen_put_pr: double
frozen_straddle: double
premiums_frozen_date_et: string
premiums_frozen_ts: int64
session_straddle: double
session_iv: double
modes: struct<active_tab: string, active_tab_expiry_date: string, atm_frozen: bool, atm_greeks: struct<call: struct<delta: double, gamma: double, iv: double, oi: int64, price: double, rho: double, theta: double, vega: double, volume: int64>, put: struct<delta: double, gamma: double, iv: double, oi: int64, price: double, rho: double, theta: double, vega: double, volume: int64>>, atm_strike: double, center: double, charm: struct<charm_alert: string, charm_net_oi: double, charm_net_vol: double, total_vol: int64>, data_age_sec: double, data_ts: int64, dealer_delta_map: struct<dealer_delta_map: list<item: struct<dd_oi: double, dd_vol: double, s: double>>, resistance_walls: list<item: struct<dd_vol: double, s: double>>, total_dd_oi: double, total_dd_vol: double>, delta_pressure: struct<call_oi_total: int64, call_vol_total: int64, direction: string, hedge_magnitude: int64, net_delta_oi: double, net_delta_vol: double, oi_imbalance: int64, pc_oi_ratio: double, pc_vol_ratio: double, pressure_dir: int64, pressure_label: string, put_oi_total: int64, put_vol_total: int64, total_oi: int64, total_volume: int64, vol_imbalance: int64, vol_pressure_dir: int64, vol_pressure_label: string, vol_skew: double>, dte_days: double, frozen_call_pr: double, frozen_date_et: string, frozen_put_pr: double, frozen_straddle: double, frozen_strike: double, frozen_ts: int64, future_price: double, gex: struct<flip_strike: double, gamma_walls: list<item: struct<gex: double, s: double>>, gex_profile: list<item: struct<c_oi: int64, gamma: double, gex: double, p_oi: int64, s: double>>, negative_gex_zone: list<item: double>, positive_gex_zone: list<item: double>, regime: string, total_gex: double>, gex_walls: struct<call_walls: list<item: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>>, clusters: list<item: struct<call_oi: int64, center_strike: double, cluster_type: string, direction: string, distance: double, magnetic_strength_pct: double, net_gex: double, put_oi: int64, strike_count: int64, strike_range: list<item: double>, total_oi: int64, total_strength: double>>, gamma_flip: double, put_walls: list<item: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>>, regime_bias: string, scalp_levels: struct<long: struct<rr_ratio: double, stop_pts: double, stop_strike: double, target_bounce_signal: string, target_pts: double, target_strike: double, valid: bool>, nearest_resistance: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>, nearest_support: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>, short: struct<rr_ratio: double, stop_pts: double, stop_strike: double, target_bounce_signal: string, target_pts: double, target_strike: double, valid: bool>>, strongest_call_wall: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>, strongest_put_wall: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>>, iv_skew: struct<atm_iv: double, call_25d_iv: double, put_25d_iv: double, risk_reversal: double, skew_bias: string>, level_minus1: double, level_minus2: double, level_minus3: double, level_plus1: double, level_plus2: double, level_plus3: double, max_pain: struct<max_pain: double, min_pain_value: double, top3_candidates: list<item: struct<pain: double, s: double>>>, mode: int64, money_flow: struct<anchor_strike: double, first_value: double, points: list<item: struct<raw: double, ts: int64>>, sensitivity_scale: double, session_dates: list<item: string>>, pinning_metrics: struct<amplification: double, call_oi_total: int64, call_vol_total: int64, d_pts: double, direction: string, hedge_magnitude: int64, k_sigma: double, kappa: double, kappa_tau: double, kappa_tau_label: string, net_delta_oi: double, net_delta_vol: double, oi_imbalance: int64, p_brownian_pct: double, p_ou_pct: double, pc_oi_ratio: double, pc_vol_ratio: double, pressure_dir: int64, pressure_label: string, put_oi_total: int64, put_vol_total: int64, quality: string, sigma_full_day: double, signal_strength: string, source: string, tau_days: double, total_oi: int64, total_volume: int64, vol_imbalance: int64, vol_pressure_dir: int64, vol_pressure_label: string, vol_skew: double>, premiums_frozen: bool, premiums_frozen_date_et: string, premiums_frozen_ts: int64, qs_method: string, selected_tab_info: string, session_iv: double, session_straddle: double, sigma: struct<qs_method: struct<center: double, dte_days: double, future: double, iv: double, iv_pct: double, level_minus0_5: double, level_minus1: double, level_minus2: double, level_minus3: double, level_plus0_5: double, level_plus1: double, level_plus2: double, level_plus3: double, sigma_pts: double>>, sigma_pts: double, status: string, straddle_premium: double, straddle_theory: struct<premium_excess: double, premium_ratio: double, signal: string, str_real: double, str_theory: double>, strikes: list<item: struct<c_d: double, c_g: double, c_iv: double, c_oi: int64, c_pr: double, c_vol: int64, p_d: double, p_g: double, p_iv: double, p_oi: int64, p_pr: double, p_vol: int64, s: double>>, vanna: struct<max_vanna_strike: double, max_vanna_val: double, vanna_net_oi: double, vanna_net_vol: double>, vol_flow: struct<bear_vol_pct: double, bull_vol_pct: double, flow_bias_pct: double, flow_signal: string, flow_strength: string, near_bear_vol: int64, near_bull_vol: int64, near_c_vol_above: int64, near_c_vol_below: int64, near_p_vol_above: int64, near_p_vol_below: int64, near_total_vol: int64, top_active_strikes: list<item: struct<s: double, total_vol: int64>>>, volume_balance: struct<points: list<item: struct<balance_strike: double, total_vol: int64, ts: int64>>, session_date: string>>
vs
ts: timestamp[s]
price: double
label: string
score: double
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
ts: int64
last_data_ts: double
datetime_utc: string
future_price: double
price_age_sec: double
current_dte_mode: int64
atm_frozen: bool
frozen_strike: int64
frozen_ts: int64
frozen_date_et: string
premiums_frozen: bool
frozen_call_pr: double
frozen_put_pr: double
frozen_straddle: double
premiums_frozen_date_et: string
premiums_frozen_ts: int64
session_straddle: double
session_iv: double
modes: struct<active_tab: string, active_tab_expiry_date: string, atm_frozen: bool, atm_greeks: struct<call: struct<delta: double, gamma: double, iv: double, oi: int64, price: double, rho: double, theta: double, vega: double, volume: int64>, put: struct<delta: double, gamma: double, iv: double, oi: int64, price: double, rho: double, theta: double, vega: double, volume: int64>>, atm_strike: double, center: double, charm: struct<charm_alert: string, charm_net_oi: double, charm_net_vol: double, total_vol: int64>, data_age_sec: double, data_ts: int64, dealer_delta_map: struct<dealer_delta_map: list<item: struct<dd_oi: double, dd_vol: double, s: double>>, resistance_walls: list<item: struct<dd_vol: double, s: double>>, total_dd_oi: double, total_dd_vol: double>, delta_pressure: struct<call_oi_total: int64, call_vol_total: int64, direction: string, hedge_magnitude: int64, net_delta_oi: double, net_delta_vol: double, oi_imbalance: int64, pc_oi_ratio: double, pc_vol_ratio: double, pressure_dir: int64, pressure_label: string, put_oi_total: int64, put_vol_total: int64, total_oi: int64, total_volume: int64, vol_imbalance: int64, vol_pressure_dir: int64, vol_pressure_label: string, vol_skew: double>, dte_days: double, frozen_call_pr: double, frozen_date_et: string, frozen_put_pr: double, frozen_straddle: double, frozen_strike: double, frozen_ts: int64, future_price: double, gex: struct<flip_strike: double, gamma_walls: list<item: struct<gex: double, s: double>>, gex_profile: list<item: struct<c_oi: int64, gamma: double, gex: double, p_oi: int64, s: double>>, negative_gex_zone: list<item: double>, positive_gex_zone: list<item: double>, regime: string, total_gex: double>, gex_walls: struct<call_walls: list<item: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>>, clusters: list<item: struct<call_oi: int64, center_strike: double, cluster_type: string, direction: string, distance: double, magnetic_strength_pct: double, net_gex: double, put_oi: int64, strike_count: int64, strike_range: list<item: double>, total_oi: int64, total_strength: double>>, gamma_flip: double, put_walls: list<item: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>>, regime_bias: string, scalp_levels: struct<long: struct<rr_ratio: double, stop_pts: double, stop_strike: double, target_bounce_signal: string, target_pts: double, target_strike: double, valid: bool>, nearest_resistance: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>, nearest_support: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>, short: struct<rr_ratio: double, stop_pts: double, stop_strike: double, target_bounce_signal: string, target_pts: double, target_strike: double, valid: bool>>, strongest_call_wall: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>, strongest_put_wall: struct<bounce_probability: double, bounce_signal: string, call_oi: int64, call_volume: int64, composite_strength: double, distance_from_price: double, net_gex: double, put_oi: int64, put_volume: int64, strength: double, strike: double, volume_ratio: double, wall_rank: int64, wall_type: string>>, iv_skew: struct<atm_iv: double, call_25d_iv: double, put_25d_iv: double, risk_reversal: double, skew_bias: string>, level_minus1: double, level_minus2: double, level_minus3: double, level_plus1: double, level_plus2: double, level_plus3: double, max_pain: struct<max_pain: double, min_pain_value: double, top3_candidates: list<item: struct<pain: double, s: double>>>, mode: int64, money_flow: struct<anchor_strike: double, first_value: double, points: list<item: struct<raw: double, ts: int64>>, sensitivity_scale: double, session_dates: list<item: string>>, pinning_metrics: struct<amplification: double, call_oi_total: int64, call_vol_total: int64, d_pts: double, direction: string, hedge_magnitude: int64, k_sigma: double, kappa: double, kappa_tau: double, kappa_tau_label: string, net_delta_oi: double, net_delta_vol: double, oi_imbalance: int64, p_brownian_pct: double, p_ou_pct: double, pc_oi_ratio: double, pc_vol_ratio: double, pressure_dir: int64, pressure_label: string, put_oi_total: int64, put_vol_total: int64, quality: string, sigma_full_day: double, signal_strength: string, source: string, tau_days: double, total_oi: int64, total_volume: int64, vol_imbalance: int64, vol_pressure_dir: int64, vol_pressure_label: string, vol_skew: double>, premiums_frozen: bool, premiums_frozen_date_et: string, premiums_frozen_ts: int64, qs_method: string, selected_tab_info: string, session_iv: double, session_straddle: double, sigma: struct<qs_method: struct<center: double, dte_days: double, future: double, iv: double, iv_pct: double, level_minus0_5: double, level_minus1: double, level_minus2: double, level_minus3: double, level_plus0_5: double, level_plus1: double, level_plus2: double, level_plus3: double, sigma_pts: double>>, sigma_pts: double, status: string, straddle_premium: double, straddle_theory: struct<premium_excess: double, premium_ratio: double, signal: string, str_real: double, str_theory: double>, strikes: list<item: struct<c_d: double, c_g: double, c_iv: double, c_oi: int64, c_pr: double, c_vol: int64, p_d: double, p_g: double, p_iv: double, p_oi: int64, p_pr: double, p_vol: int64, s: double>>, vanna: struct<max_vanna_strike: double, max_vanna_val: double, vanna_net_oi: double, vanna_net_vol: double>, vol_flow: struct<bear_vol_pct: double, bull_vol_pct: double, flow_bias_pct: double, flow_signal: string, flow_strength: string, near_bear_vol: int64, near_bull_vol: int64, near_c_vol_above: int64, near_c_vol_below: int64, near_p_vol_above: int64, near_p_vol_below: int64, near_total_vol: int64, top_active_strikes: list<item: struct<s: double, total_vol: int64>>>, volume_balance: struct<points: list<item: struct<balance_strike: double, total_vol: int64, ts: int64>>, session_date: string>>
vs
ts: timestamp[s]
price: double
label: string
score: doubleNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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