The dataset viewer is not available for this dataset.
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed 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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Explorer_LLM_Rec_Competition
This dataset contains user historical behaviors and content metadata, constructed from real user interaction histories. It covers behavior sequences across multiple domains for a single user and supports cross-domain recommendation, semantic-ID retrieval / generation, content understanding, and related tasks.
Files
| File | Description |
|---|---|
OneReason_UserProfile/ |
Per-user multi-domain behavior records (~500k rows) |
OneReason_Pid2Sid/ |
Mapping from content PID to three-segment semantic ID |
OneReason_Pid2Caption/ |
Mapping from content PID to text caption |
OneReason_Pid2Tag/ |
Mapping from content PID to level-3 category tag |
OneReason_General/ |
General knowledge data |
Anonymization & Join Rules
- All
pid/ item id / author id / live id are hashedint64values. - The user table contains no
uid; each row is an anonymous user sample. - Hashed item ids join the three item-metadata tables via
(domain, pid). - Regular videos and ads both come from the video system, distinguished by
domain:- Regular video:
video/video - Ad:
video/ad - Some users' video-watch sequences also contain ads.
- Regular video:
Domain Values
| Domain | Meaning | Associated user fields | Token prefix |
|---|---|---|---|
video/video |
Regular short videos | video_*, video_history_* |
<|video_begin|> |
video/ad |
Ads / outer-loop content | outer_loop_* |
<|ad_begin|> |
goods |
E-commerce products | ec_* |
<|prod_begin|> |
live |
Live-streaming hosts | live_hist_author_id_list |
<|living_begin|> |
OneReason_Pid2Sid
Semantic-ID mapping table. Converts a content ID into a three-segment semantic ID.
| Field | Type | Description |
|---|---|---|
pid |
int64 | Hashed content / product / host ID |
domain |
string | Domain of the content (see Domain Values) |
sid_three |
list[float] | Three-segment semantic ID [s_a, s_b, s_c] |
Token concatenation example:
video/video: <|video_begin|><s_a_123><s_b_456><s_c_789>
video/ad: <|ad_begin|><s_a_123><s_b_456><s_c_789>
goods: <|prod_begin|><s_a_123><s_b_456><s_c_789>
live: <|living_begin|><s_a_123><s_b_456><s_c_789>
OneReason_Pid2Caption
Lookup of a content's text description by hashed PID.
| Field | Type | Description |
|---|---|---|
pid |
int64 | Hashed content / product / host ID |
domain |
string | Domain of the content (see Domain Values) |
caption |
string | Content description, or stringified list of description tags |
OneReason_Pid2Tag
Level-3 category tag for video, ad, and live content.
| Field | Type | Description |
|---|---|---|
pid |
int64 | Hashed content / host ID |
domain |
string | Domain; currently video/video, video/ad, live |
tag_lv3 |
string | Level-3 category tag |
OneReason_UserProfile
Each row is an anonymous user-profile sample containing behavior sequences from e-commerce, short-video, live-streaming, and ad domains.
Sequence Alignment Rules
user_history fields are grouped into 4 domains. Each domain has one or more primary sequences (pid / ID sequences), and every primary sequence is paired with a set of aligned feature sequences of identical length. If both a primary sequence and its aligned feature sequences are null, the user has no behavior in that domain.
video/video (short video)
| Primary sequence | Aligned feature sequences |
|---|---|
video_sampled_pid_list |
video_neg_feedback_list, video_like_list, video_comment_list, video_forward_list, video_collect_list, video_watch_time_list, video_play_done_list, video_duration_list, video_ts_list |
video_history_sampled_pid_list |
video_history_neg_feedback_list, video_history_like_list, video_history_comment_list, video_history_forward_list, video_history_collect_list, video_history_watch_time_list, video_history_play_done_list, video_history_duration_list, video_history_ts_list |
video/ad (ads / outer-loop)
| Primary sequence | Aligned feature sequences |
|---|---|
outer_loop_history_action_pid_list_pos |
outer_loop_history_action_pid_list_pos_ts |
outer_loop_history_action_pid_list_click |
outer_loop_history_action_pid_list_click_ts, outer_loop_history_action_pid_list_click_type, outer_loop_history_action_pid_list_click_industry |
outer_loop_deep_target_pid |
outer_loop_deep_target_pid_ts |
goods (e-commerce)
| Primary sequence | Aligned feature sequences |
|---|---|
ec_item_id_list |
ec_cvr_label_list, ec_time_ms_list |
ec_good_click_item_id_list_extend |
ec_trunc_clk_lag |
ec_good_order_item_id_list_extend |
ec_trunc_buy_lag |
ec_colossus_rs_item_id_list |
ec_colossus_rs_lagv1_list, ec_colossus_rs_lagv2_list, ec_colossus_rs_is_click_list, ec_colossus_rs_is_cart_list, ec_colossus_rs_is_buy_list |
live (live-streaming)
| Primary sequence | Aligned feature sequences |
|---|---|
live_hist_author_id_list |
live_hist_timestamp_list, live_hist_live_id_list, live_hist_show_cnt_list, live_hist_play_cnt_list, live_hist_valid_play_cnt_list, live_hist_play_duration_list, live_hist_valid_play_duration_list, live_hist_like_cnt_list, live_hist_comment_cnt_list, live_hist_reduce_similar_cnt_list, live_hist_report_live_cnt_list, live_hist_author_category_type_list, live_hist_author_type_list, live_hist_is_interactive_mp_live_list, live_hist_is_building_live_list, live_hist_is_local_life_live_list, live_hist_is_detect_game_live_list, live_hist_is_recruit_live_list, live_hist_follow_author_cnt_list |
E-commerce Fields
| Field | Type | Description |
|---|---|---|
ec_item_id_list |
list[int64] | E-commerce item ID sequence |
ec_cvr_label_list |
list[int64] | Conversion label aligned with ec_item_id_list |
ec_time_ms_list |
list[int64] | Absolute timestamp (ms) aligned with ec_item_id_list |
ec_colossus_rs_item_id_list |
list[int64] | Recently shown e-commerce item ID sequence |
ec_colossus_rs_lagv1_list |
list[int64] | Hour-level lag of ec_colossus_rs_item_id_list relative to ec_time_ms |
ec_colossus_rs_lagv2_list |
list[int64] | Supplementary hour-level lag of ec_colossus_rs_item_id_list relative to ec_time_ms |
ec_colossus_rs_is_click_list |
list[int64] | Click flag for each recently shown item (0/1) |
ec_colossus_rs_is_cart_list |
list[int64] | Add-to-cart flag for each recently shown item (0/1) |
ec_colossus_rs_is_buy_list |
list[int64] | Purchase flag for each recently shown item (0/1) |
ec_good_click_item_id_list_extend |
list[int64] | Recently clicked e-commerce item ID sequence |
ec_trunc_clk_lag |
list[int64] | Hour-level lag of ec_good_click_item_id_list_extend relative to ec_time_ms |
ec_good_order_item_id_list_extend |
list[int64] | Recently purchased e-commerce item ID sequence |
ec_trunc_buy_lag |
list[int64] | Hour-level lag of ec_good_order_item_id_list_extend relative to ec_time_ms |
ec_time_ms |
int64 | Snapshot time when e-commerce features were captured |
Short Video Fields
| Field | Type | Description |
|---|---|---|
video_sampled_pid_list |
list[int64] | Currently clicked short-video ID sequence |
video_neg_feedback_list |
list[float] | Negative-feedback flag for currently clicked videos (0/1) |
video_like_list |
list[float] | Like flag for currently clicked videos (0/1) |
video_comment_list |
list[float] | Comment flag for currently clicked videos (0/1) |
video_forward_list |
list[float] | Forward / share flag for currently clicked videos (0/1) |
video_collect_list |
list[float] | Collect flag for currently clicked videos (0/1) |
video_watch_time_list |
list[float] | Watch time for currently clicked videos |
video_play_done_list |
list[float] | Play-done (full-watch) flag for currently clicked videos (0/1) |
video_duration_list |
list[float] | Duration of currently clicked videos |
video_ts_list |
list[int64] | Absolute timestamp of currently clicked videos |
video_history_sampled_pid_list |
list[int64] | Historical shown short-video ID sequence |
video_history_neg_feedback_list |
list[float] | Negative-feedback flag for historical videos (0/1) |
video_history_like_list |
list[float] | Like flag for historical videos (0/1) |
video_history_comment_list |
list[float] | Comment flag for historical videos (0/1) |
video_history_forward_list |
list[float] | Forward / share flag for historical videos (0/1) |
video_history_collect_list |
list[float] | Collect flag for historical videos (0/1) |
video_history_watch_time_list |
list[float] | Watch time for historical videos |
video_history_play_done_list |
list[float] | Play-done flag for historical videos (0/1) |
video_history_duration_list |
list[float] | Duration of historical videos |
video_history_ts_list |
list[int64] | Absolute timestamp of historical videos |
video_history_seq_len |
int64 | Length of the historical-video sequence |
Live-streaming Fields
| Field | Type | Description |
|---|---|---|
live_hist_timestamp_list |
list[string] | Date of watched live streams |
live_hist_author_id_list |
list[int64] | Host ID of watched live streams |
live_hist_live_id_list |
list[int64] | Live-room ID of watched live streams |
live_hist_show_cnt_list |
list[int64] | Impression count |
live_hist_play_cnt_list |
list[int64] | Play count |
live_hist_valid_play_cnt_list |
list[int64] | Valid-play count |
live_hist_play_duration_list |
list[int64] | Total play duration |
live_hist_valid_play_duration_list |
list[int64] | Valid-play duration |
live_hist_like_cnt_list |
list[int64] | Like count |
live_hist_comment_cnt_list |
list[int64] | Comment count |
live_hist_reduce_similar_cnt_list |
list[int64] | "Reduce similar" / "not interested" count |
live_hist_report_live_cnt_list |
list[int64] | Report count |
live_hist_author_category_type_list |
list[string] | Host category type |
live_hist_author_type_list |
list[string] | Host type |
live_hist_is_interactive_mp_live_list |
list[int64] | Interactive mini-program live flag (0/1) |
live_hist_is_building_live_list |
list[int64] | Real-estate live flag (0/1) |
live_hist_is_local_life_live_list |
list[int64] | Local-life live flag (0/1) |
live_hist_is_detect_game_live_list |
list[int64] | Gaming live flag (0/1) |
live_hist_is_recruit_live_list |
list[int64] | Recruitment live flag (0/1) |
live_hist_follow_author_cnt_list |
list[int64] | List of follow-author action counts |
Ad / Outer-loop Fields
| Field | Type | Description |
|---|---|---|
outer_loop_history_action_pid_list_pos |
list[int64] | Recently deep-converted outer-loop ad ID sequence |
outer_loop_history_action_pid_list_pos_ts |
list[int64] | Absolute timestamp aligned with outer_loop_history_action_pid_list_pos |
outer_loop_history_action_pid_list_click |
list[int64] | Recently clicked outer-loop ad ID sequence |
outer_loop_history_action_pid_list_click_ts |
list[int64] | Absolute timestamp aligned with outer_loop_history_action_pid_list_click |
outer_loop_history_action_pid_list_click_type |
list[string] | Click type aligned with outer_loop_history_action_pid_list_click |
outer_loop_history_action_pid_list_click_industry |
list[string] | Industry aligned with outer_loop_history_action_pid_list_click |
outer_loop_deep_target_pid |
list[int64] | Deep-conversion target ID sequence of recent outer-loop ads |
outer_loop_deep_target_pid_ts |
list[int64] | Absolute timestamp aligned with outer_loop_deep_target_pid |
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